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When it is not found, a full rebuild will be done. -config: 73ce6691cda151d4aabc9466268ebbb7 +config: e92a03a57b79a66b55d813e5d2c5e8ea tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/a11y_pygments/a11y_dark/README.html b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/a11y_pygments/a11y_dark/README.html new file mode 100644 index 000000000..a7174324c --- /dev/null +++ b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/a11y_pygments/a11y_dark/README.html @@ -0,0 +1,574 @@ + + + + + + + + + + + A11Y Dark — Applied Data Analysis and Machine Learning + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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A11Y Dark

+ +
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+ +
+
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+ + + + +
+ +
+

A11Y Dark#

+

This is the Pygments implementation of a11y-dark from Eric Bailey’s +accessible themes for syntax +highlighting

+

Screenshot of the a11y-dark theme in a bash script

+
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Colors#

+

Background color: #2b2b2b #2b2b2b

+

Highlight color: #ffd9002e #ffd9002e

+

WCAG compliance

+
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+ + + + + + + + \ No newline at end of file diff --git a/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/a11y_pygments/a11y_high_contrast_dark/README.html b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/a11y_pygments/a11y_high_contrast_dark/README.html new file mode 100644 index 000000000..31bf009ad --- /dev/null +++ b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/a11y_pygments/a11y_high_contrast_dark/README.html @@ -0,0 +1,560 @@ + + + + + + + + + + + A11Y High Contrast Dark — Applied Data Analysis and Machine Learning + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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A11Y High Contrast Dark

+ +
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Contents

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+ +
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+ +
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A11Y High Contrast Dark#

+

This style mimics the a11 light theme from eric bailey’s accessible themes.

+

Screenshot of the a11y-high-contrast-dark theme in a bash script

+
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Colors#

+

Background color: #2b2b2b #2b2b2b

+

Highlight color: #ffd9002e #ffd9002e

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WCAG compliance

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+ + + + + + + + \ No newline at end of file diff --git a/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/a11y_pygments/a11y_high_contrast_light/README.html b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/a11y_pygments/a11y_high_contrast_light/README.html new file mode 100644 index 000000000..975a5422c --- /dev/null +++ b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/a11y_pygments/a11y_high_contrast_light/README.html @@ -0,0 +1,572 @@ + + + + + + + + + + + A11Y High Contrast Light — Applied Data Analysis and Machine Learning + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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A11Y High Contrast Light

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+
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+ +
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A11Y High Contrast Light#

+

This style mimics the a11y-light theme (but with more contrast) from eric bailey’s accessible themes.

+

Screenshot of the a11y-high-contrast-light theme in a bash script

+
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Colors#

+

Background color: #fefefe #fefefe

+

Highlight color: #fae4c2 #fae4c2

+

WCAG compliance

+
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+ + + + + + + + \ No newline at end of file diff --git a/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/a11y_pygments/a11y_light/README.html b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/a11y_pygments/a11y_light/README.html new file mode 100644 index 000000000..b8bf8dd22 --- /dev/null +++ b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/a11y_pygments/a11y_light/README.html @@ -0,0 +1,566 @@ + + + + + + + + + + + A11Y Light — Applied Data Analysis and Machine Learning + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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A11Y Light

+ +
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+ +
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Contents

+
+ +
+
+
+ + + + +
+ +
+

A11Y Light#

+

This style inspired by the a11y-light theme from eric bailey’s accessible themes.

+

Screenshot of the a11y-light theme in a bash script

+
+

Colors#

+

Background color: #f2f2f2 #f2f2f2

+

Highlight color: #fdf2e2 #fdf2e2

+

WCAG compliance

+
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+ + + + + + + + \ No newline at end of file diff --git a/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/a11y_pygments/blinds_dark/README.html b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/a11y_pygments/blinds_dark/README.html new file mode 100644 index 000000000..9914c6e67 --- /dev/null +++ b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/a11y_pygments/blinds_dark/README.html @@ -0,0 +1,566 @@ + + + + + + + + + + + Blinds Dark — Applied Data Analysis and Machine Learning + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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Blinds Dark#

+

This style mimics the blinds dark theme from vscode themes.

+

Screenshot of the blinds-dark theme in a bash script

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Colors#

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Background color: #242424 #242424

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Highlight color: #66666691 #66666691

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Screenshot of the github-dark-high-contrast theme in a bash script

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+ + + + + + + + \ No newline at end of file diff --git a/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/a11y_pygments/gotthard_light/README.html b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/a11y_pygments/gotthard_light/README.html new file mode 100644 index 000000000..4f4168bd2 --- /dev/null +++ b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/a11y_pygments/gotthard_light/README.html @@ -0,0 +1,566 @@ + + + + + + + + + + + Gotthard Light — Applied Data Analysis and Machine Learning + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + +
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+ + + + + +
+ + +
+ + + + + + + + + + + + + +
+ +
+ +
+
+ + + +
+

Gotthard Light

+ +
+
+ +
+

Contents

+
+ +
+
+
+ + + + +
+ +
+

Gotthard Light#

+

This style mimics the gotthard light theme from vscode.

+

Screenshot of the gotthard-light theme in a bash script

+
+

Colors#

+

Background color: #F5F5F5 #F5F5F5

+

Highlight color: #E1E1E1 #E1E1E1

+

WCAG compliance

+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

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#141414

#141414

16.9 : 1

AAA

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#9f4e55

#9f4e55

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#a25e53

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#98661b

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#3d73a9

#3d73a9

4.6 : 1

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#974eb7

#974eb7

4.7 : 1

AA

AAA

+
+
+
+ + + + +
+ + + + + + +
+ +
+
+
+ +
+ + + +
+ + +
+
+ Contents +
+
+ +
+ + +
+ + + +
+
+
+ + + + + + + + \ No newline at end of file diff --git a/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/a11y_pygments/greative/README.html b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/a11y_pygments/greative/README.html new file mode 100644 index 000000000..1da9e87f2 --- /dev/null +++ b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/a11y_pygments/greative/README.html @@ -0,0 +1,566 @@ + + + + + + + + + + + Greative — Applied Data Analysis and Machine Learning + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + +
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+ + + Ctrl+K +
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+ +
+ +
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+ + + +
+

Greative

+ +
+
+ +
+

Contents

+
+ +
+
+
+ + + + +
+ +
+

Greative#

+

This style mimics greative theme from vscode themes.

+

Screenshot of the greative theme in a bash script

+
+

Colors#

+

Background color: #010726 #010726

+

Highlight color: #473d18 #473d18

+

WCAG compliance

+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

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#5ca7e4

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#9e86c8

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AAA

+
+
+
+ + + + +
+ + + + + + +
+ +
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+
+ +
+ + + +
+ + +
+
+ Contents +
+
+ +
+ + +
+ + + +
+
+
+ + + + + + + + \ No newline at end of file diff --git a/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/a11y_pygments/pitaya_smoothie/README.html b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/a11y_pygments/pitaya_smoothie/README.html new file mode 100644 index 000000000..1218a89dc --- /dev/null +++ b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/a11y_pygments/pitaya_smoothie/README.html @@ -0,0 +1,578 @@ + + + + + + + + + + + Pitaya Smoothie — Applied Data Analysis and Machine Learning + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + +
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+ + +
+ + + + + + + + + + + + + +
+ +
+ +
+
+ + + +
+

Pitaya Smoothie

+ +
+
+ +
+

Contents

+
+ +
+
+
+ + + + +
+ +
+

Pitaya Smoothie#

+

This style mimics the a11 light theme from eric bailey’s accessible themes.

+

Screenshot of the pitaya-smoothie theme in a bash script

+
+

Colors#

+

Background color: #181036 #181036

+

Highlight color: #2A1968 #2A1968

+

WCAG compliance

+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

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#c4a2f5

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#fefeff

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AAA

+
+
+
+ + + + +
+ + + + + + +
+ +
+
+
+ +
+ + + +
+ + +
+
+ Contents +
+
+ +
+ + +
+ + + +
+
+
+ + + + + + + + \ No newline at end of file diff --git a/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/alabaster-0.7.16.dist-info/LICENSE.html b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/alabaster-0.7.16.dist-info/LICENSE.html new file mode 100644 index 000000000..e34385321 --- /dev/null +++ b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/alabaster-0.7.16.dist-info/LICENSE.html @@ -0,0 +1,529 @@ + + + + + + + + + + + <no title> — Applied Data Analysis and Machine Learning + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + +
+
+
+
+ + + Ctrl+K +
+
+ +
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+ +
+ +
+
+ + + +
+

+ +
+
+ +
+

Contents

+
+ +
+
+
+ + + + +
+ +

Copyright (c) 2020 Jeff Forcier.

+

Based on original work copyright (c) 2011 Kenneth Reitz and copyright (c) 2010 +Armin Ronacher.

+

Some rights reserved.

+

Redistribution and use in source and binary forms of the theme, with or +without modification, are permitted provided that the following conditions +are met:

+
    +

  • Redistributions of source code must retain the above copyright +notice, this list of conditions and the following disclaimer.

    • +

  • Redistributions in binary form must reproduce the above +copyright notice, this list of conditions and the following +disclaimer in the documentation and/or other materials provided +with the distribution.

    • +

  • The names of the contributors may not be used to endorse or +promote products derived from this software without specific +prior written permission.

    • +
+

THIS THEME IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS “AS IS” +AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE +IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE +ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE +LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR +CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF +SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS +INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN +CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) +ARISING IN ANY WAY OUT OF THE USE OF THIS THEME, EVEN IF ADVISED OF THE +POSSIBILITY OF SUCH DAMAGE.

+ + + + +
+ + + + + + +
+ +
+
+
+ +
+ + + +
+ + +
+
+ Contents +
+
+ +
+ + +
+ + + +
+
+
+ + + + + + + + \ No newline at end of file diff --git a/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/debugpy/_vendored/pydevd/pydevd_plugins/extensions/README.html b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/debugpy/_vendored/pydevd/pydevd_plugins/extensions/README.html new file mode 100644 index 000000000..4a5dcb24b --- /dev/null +++ b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/debugpy/_vendored/pydevd/pydevd_plugins/extensions/README.html @@ -0,0 +1,533 @@ + + + + + + + + + + + <no title> — Applied Data Analysis and Machine Learning + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + +
+
+
+
+ + + Ctrl+K +
+
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+ + + + + +
+ + +
+ + + + + + + + + + + + + +
+ +
+ +
+
+ + + +
+

+ +
+
+ +
+

Contents

+
+ +
+
+
+ + + + +
+ +

Extensions allow extending the debugger without modifying the debugger code. This is implemented with explicit namespace +packages.

+

To implement your own extension:

+
    +

  1. Ensure that the root folder of your extension is in sys.path (add it to PYTHONPATH)

    2. +

  2. Ensure that your module follows the directory structure below

    3. +

  3. The __init__.py files inside the pydevd_plugin and extension folder must contain the preamble below, +and nothing else. +Preamble:

    4. +
+
try:
+    __import__('pkg_resources').declare_namespace(__name__)
+except ImportError:
+    import pkgutil
+    __path__ = pkgutil.extend_path(__path__, __name__)
+
+
+
    +

  1. Your plugin name inside the extensions folder must start with "pydevd_plugin"

    2. +

  2. Implement one or more of the abstract base classes defined in _pydevd_bundle.pydevd_extension_api. This can be done +by either inheriting from them or registering with the abstract base class.

    3. +
+
    +

  • Directory structure:

    • +
+
|--  root_directory-> must be on python path
+|    |-- pydevd_plugins
+|    |   |-- __init__.py -> must contain preamble
+|    |   |-- extensions
+|    |   |   |-- __init__.py -> must contain preamble
+|    |   |   |-- pydevd_plugin_plugin_name.py
+
+
+ + + + +
+ + + + + + +
+ +
+
+
+ +
+ + + +
+ + +
+
+ Contents +
+
+ +
+ + +
+ + + +
+
+
+ + + + + + + + \ No newline at end of file diff --git a/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/idna-3.10.dist-info/LICENSE.html b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/idna-3.10.dist-info/LICENSE.html new file mode 100644 index 000000000..b392027cc --- /dev/null +++ b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/idna-3.10.dist-info/LICENSE.html @@ -0,0 +1,527 @@ + + + + + + + + + + + <no title> — Applied Data Analysis and Machine Learning + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + +
+
+
+
+ + + Ctrl+K +
+
+ +
+ +
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+ + + + +
+ +
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+ + + + + +
+ + +
+ + + + + + + + + + + + + +
+ +
+ +
+
+ + + +
+

+ +
+
+ +
+

Contents

+
+ +
+
+
+ + + + +
+ +

BSD 3-Clause License

+

Copyright (c) 2013-2024, Kim Davies and contributors. +All rights reserved.

+

Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are +met:

+
    +

  1. Redistributions of source code must retain the above copyright +notice, this list of conditions and the following disclaimer.

    2. +

  2. Redistributions in binary form must reproduce the above copyright +notice, this list of conditions and the following disclaimer in the +documentation and/or other materials provided with the distribution.

    3. +

  3. Neither the name of the copyright holder nor the names of its +contributors may be used to endorse or promote products derived from +this software without specific prior written permission.

    4. +
+

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS +“AS IS” AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT +LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR +A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT +HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, +SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED +TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR +PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF +LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING +NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS +SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

+ + + + +
+ + + + + + +
+ +
+
+
+ +
+ + + +
+ + +
+
+ Contents +
+
+ +
+ + +
+ + + +
+
+
+ + + + + + + + \ No newline at end of file diff --git a/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/imagesize-1.4.1.dist-info/LICENSE.html b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/imagesize-1.4.1.dist-info/LICENSE.html new file mode 100644 index 000000000..a65fc135c --- /dev/null +++ b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/imagesize-1.4.1.dist-info/LICENSE.html @@ -0,0 +1,491 @@ + + + + + + + + + + + The MIT License (MIT) — Applied Data Analysis and Machine Learning + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + +
+
+
+
+ + + Ctrl+K +
+
+ +
+ +
+ + +
+
+ + +
+
+ + + + + +
+ + + +
+ + + + +
+ +
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+ + + + + +
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+ +
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+ + +
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+ + + + +
+ +
+ + + +
+ +
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+ +
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+ +
+ +
+ +
+ + +
+ +
+ +
+ + + + + +
+ + +
+ + + + + + + + + + + + + +
+ +
+ +
+
+ + + +
+

The MIT License (MIT)

+ +
+
+ +
+
+
+ + + + +
+ +
+

The MIT License (MIT)#

+

Copyright © 2016 Yoshiki Shibukawa

+

Permission is hereby granted, free of charge, to any person obtaining a copy of this software +and associated documentation files (the “Software”), to deal in the Software without restriction, +including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, +and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, +subject to the following conditions:

+

The above copyright notice and this permission notice shall be included in all copies or substantial +portions of the Software.

+

THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT +NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. +IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, +WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH +THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

+
+ + + + +
+ + + + + + +
+ +
+
+
+ +
+ + + + +
+ + + +
+
+
+ + + + + + + + \ No newline at end of file diff --git a/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/ipython-9.5.0.dist-info/licenses/COPYING.html b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/ipython-9.5.0.dist-info/licenses/COPYING.html new file mode 100644 index 000000000..2bfe445d6 --- /dev/null +++ b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/ipython-9.5.0.dist-info/licenses/COPYING.html @@ -0,0 +1,535 @@ + + + + + + + + + + + The IPython licensing terms — Applied Data Analysis and Machine Learning + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + +
+
+
+
+ + + Ctrl+K +
+
+ +
+ +
+ + +
+
+ + +
+
+ + + + + +
+ + + +
+ + + + +
+ +
+
+ + + + + +
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+ +
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+ + +
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+ + + + +
+ +
+ + + +
+ +
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+ +
+ +
+ +
+ + +
+ +
+ +
+ + + + + +
+ + +
+ + + + + + + + + + + + + +
+ +
+ +
+
+ + + +
+

The IPython licensing terms

+ +
+ +
+
+ + + + +
+ +
+

The IPython licensing terms#

+

IPython is licensed under the terms of the Modified BSD License (also known as +New or Revised or 3-Clause BSD). See the LICENSE file.

+
+

About the IPython Development Team#

+

Fernando Perez began IPython in 2001 based on code from Janko Hauser +<jhauser@zscout.de> and Nathaniel Gray <n8gray@caltech.edu>. Fernando is still +the project lead.

+

The IPython Development Team is the set of all contributors to the IPython +project. This includes all of the IPython subprojects.

+

The core team that coordinates development on GitHub can be found here: +ipython/.

+
+ +
+ + + + +
+ + + + + + +
+ +
+
+
+ +
+ + + +
+ + +
+
+ Contents +
+
+ +
+ + +
+ + + +
+
+
+ + + + + + + + \ No newline at end of file diff --git a/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/jupyter_book/book_template/intro.html b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/jupyter_book/book_template/intro.html new file mode 100644 index 000000000..4749952eb --- /dev/null +++ b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/jupyter_book/book_template/intro.html @@ -0,0 +1,483 @@ + + + + + + + + + + + Welcome to your Jupyter Book — Applied Data Analysis and Machine Learning + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + +
+
+
+
+ + + Ctrl+K +
+
+ +
+ +
+ + +
+
+ + +
+
+ + + + + +
+ + + +
+ + + + +
+ +
+
+ + + + + +
+
+ +
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+ + +
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+ + + + +
+ +
+ + + +
+ +
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+ +
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+ +
+ +
+ +
+ + +
+ +
+ +
+ + + + + +
+ + +
+ + + + + + + + + + + + + +
+ +
+ +
+
+ + + +
+

Welcome to your Jupyter Book

+ +
+
+ +
+
+
+ + + + +
+ +
+

Welcome to your Jupyter Book#

+

This is a small sample book to give you a feel for how book content is +structured. +It shows off a few of the major file types, as well as some sample content. +It does not go in-depth into any particular topic - check out the Jupyter Book documentation for more information.

+

Check out the content pages bundled with this sample book to see more.

+
+ + + + +
+ + + + + + +
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+ + + + + + + + \ No newline at end of file diff --git a/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/jupyter_book/book_template/markdown-notebooks.html b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/jupyter_book/book_template/markdown-notebooks.html new file mode 100644 index 000000000..07c6201e8 --- /dev/null +++ b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/jupyter_book/book_template/markdown-notebooks.html @@ -0,0 +1,545 @@ + + + + + + + + + + + Notebooks with MyST Markdown — Applied Data Analysis and Machine Learning + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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Notebooks with MyST Markdown

+ +
+ +
+
+ + + + +
+ +
+

Notebooks with MyST Markdown#

+

Jupyter Book also lets you write text-based notebooks using MyST Markdown. +See the Notebooks with MyST Markdown documentation for more detailed instructions. +This page shows off a notebook written in MyST Markdown.

+
+

An example cell#

+

With MyST Markdown, you can define code cells with a directive like so:

+
+
+
print(2 + 2)
+
+
+
+
+

When your book is built, the contents of any {code-cell} blocks will be +executed with your default Jupyter kernel, and their outputs will be displayed +in-line with the rest of your content.

+
+

See also

+

Jupyter Book uses Jupytext to convert text-based files to notebooks, and can support many other text-based notebook files.

+
+
+
+

Create a notebook with MyST Markdown#

+

MyST Markdown notebooks are defined by two things:

+
    +

  1. YAML metadata that is needed to understand if / how it should convert text files to notebooks (including information about the kernel needed). +See the YAML at the top of this page for example.

    2. +

  2. The presence of {code-cell} directives, which will be executed with your book.

    3. +
+

That’s all that is needed to get started!

+
+
+

Quickly add YAML metadata for MyST Notebooks#

+

If you have a markdown file and you’d like to quickly add YAML metadata to it, so that Jupyter Book will treat it as a MyST Markdown Notebook, run the following command:

+
jupyter-book myst init path/to/markdownfile.md
+
+
+
+
+ + + + +
+ + + + + + +
+ +
+
+
+ +
+ + + +
+ + +
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+ Contents +
+
+ +
+ + +
+ + + +
+
+
+ + + + + + + + \ No newline at end of file diff --git a/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/jupyter_book/book_template/markdown.html b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/jupyter_book/book_template/markdown.html new file mode 100644 index 000000000..3e38f2756 --- /dev/null +++ b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/jupyter_book/book_template/markdown.html @@ -0,0 +1,553 @@ + + + + + + + + + + + Markdown Files — Applied Data Analysis and Machine Learning + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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+ + + +
+

Markdown Files

+ +
+ +
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+ + + + +
+ +
+

Markdown Files#

+

Whether you write your book’s content in Jupyter Notebooks (.ipynb) or +in regular markdown files (.md), you’ll write in the same flavor of markdown +called MyST Markdown. +This is a simple file to help you get started and show off some syntax.

+
+

What is MyST?#

+

MyST stands for “Markedly Structured Text”. It +is a slight variation on a flavor of markdown called “CommonMark” markdown, +with small syntax extensions to allow you to write roles and directives +in the Sphinx ecosystem.

+

For more about MyST, see the MyST Markdown Overview.

+
+
+

Sample Roles and Directives#

+

Roles and directives are two of the most powerful tools in Jupyter Book. They +are like functions, but written in a markup language. They both +serve a similar purpose, but roles are written in one line, whereas +directives span many lines. They both accept different kinds of inputs, +and what they do with those inputs depends on the specific role or directive +that is being called.

+

Here is a “note” directive:

+
+

Note

+

Here is a note

+
+

It will be rendered in a special box when you build your book.

+

Here is an inline directive to refer to a document: Notebooks with MyST Markdown.

+
+
+

Citations#

+

You can also cite references that are stored in a bibtex file. For example, +the following syntax: {cite}`holdgraf_evidence_2014` will render like +this: .

+

Moreover, you can insert a bibliography into your page with this syntax: +The {bibliography} directive must be used for all the {cite} roles to +render properly. +For example, if the references for your book are stored in references.bib, +then the bibliography is inserted with:

+
+
+

Learn more#

+

This is just a simple starter to get you started. +You can learn a lot more at jupyterbook.org.

+
+
+ + + + +
+ + + + + + +
+ +
+
+
+ +
+ + + +
+ + +
+
+ Contents +
+
+ +
+ + +
+ + + +
+
+
+ + + + + + + + \ No newline at end of file diff --git a/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/jupyter_book/book_template/notebooks.html b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/jupyter_book/book_template/notebooks.html new file mode 100644 index 000000000..760e9ac17 --- /dev/null +++ b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/jupyter_book/book_template/notebooks.html @@ -0,0 +1,577 @@ + + + + + + + + + + + Content with notebooks — Applied Data Analysis and Machine Learning + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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+ + + +
+

Content with notebooks

+ +
+ +
+
+ + + + +
+ +
+

Content with notebooks#

+

You can also create content with Jupyter Notebooks. This means that you can include +code blocks and their outputs in your book.

+
+

Markdown + notebooks#

+

As it is markdown, you can embed images, HTML, etc into your posts!

+

+

You can also \(add_{math}\) and

+
+\[ +math^{blocks} +\]
+

or

+
+\[\begin{split} +\begin{aligned} +\mbox{mean} la_{tex} \\ \\ +math blocks +\end{aligned} +\end{split}\]
+

But make sure you $Escape $your $dollar signs $you want to keep!

+
+
+

MyST markdown#

+

MyST markdown works in Jupyter Notebooks as well. For more information about MyST markdown, check +out the MyST guide in Jupyter Book, +or see the MyST markdown documentation.

+
+
+

Code blocks and outputs#

+

Jupyter Book will also embed your code blocks and output in your book. +For example, here’s some sample Matplotlib code:

+
+
+
from matplotlib import rcParams, cycler
+import matplotlib.pyplot as plt
+import numpy as np
+plt.ion()
+
+
+
+
+
+
+
# Fixing random state for reproducibility
+np.random.seed(19680801)
+
+N = 10
+data = [np.logspace(0, 1, 100) + np.random.randn(100) + ii for ii in range(N)]
+data = np.array(data).T
+cmap = plt.cm.coolwarm
+rcParams['axes.prop_cycle'] = cycler(color=cmap(np.linspace(0, 1, N)))
+
+
+from matplotlib.lines import Line2D
+custom_lines = [Line2D([0], [0], color=cmap(0.), lw=4),
+                Line2D([0], [0], color=cmap(.5), lw=4),
+                Line2D([0], [0], color=cmap(1.), lw=4)]
+
+fig, ax = plt.subplots(figsize=(10, 5))
+lines = ax.plot(data)
+ax.legend(custom_lines, ['Cold', 'Medium', 'Hot']);
+
+
+
+
+

There is a lot more that you can do with outputs (such as including interactive outputs) +with your book. For more information about this, see the Jupyter Book documentation

+
+
+ + + + +
+ + + + + + +
+ +
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+ +
+ + + +
+ + +
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+ Contents +
+
+ +
+ + +
+ + + +
+
+
+ + + + + + + + \ No newline at end of file diff --git a/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/latexcodec-3.0.1.dist-info/licenses/AUTHORS.html b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/latexcodec-3.0.1.dist-info/licenses/AUTHORS.html new file mode 100644 index 000000000..ba360f6f2 --- /dev/null +++ b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/latexcodec-3.0.1.dist-info/licenses/AUTHORS.html @@ -0,0 +1,528 @@ + + + + + + + + + + + <no title> — Applied Data Analysis and Machine Learning + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + +
+
+
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+ + + Ctrl+K +
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+ +
+ +
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+ + + +
+

+ +
+
+ +
+

Contents

+
+ +
+
+
+ + + + +
+ +

Main authors:

+
    +

  • David Eppstein

    + +
    • +

  • Peter Tröger

    +
      +

    • wrote the original latexcodec package, which contained a simple +but very effective LaTeX encoder

      • +
    +
    • +

  • Matthias Troffaes (matthias.troffaes@gmail.com)

    +
      +

    • wrote the lexer

      • +

    • integrated codec with the lexer for a simpler and more robust +design

      • +

    • various bugfixes

      • +
    +
    • +
+

Contributors:

+
    +

  • Michael Radziej

    • +

  • Philipp Spitzer

    • +
+ + + + +
+ + + + + + +
+ +
+
+
+ +
+ + + +
+ + +
+
+ Contents +
+
+ +
+ + +
+ + + +
+
+
+ + + + + + + + \ No newline at end of file diff --git a/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/latexcodec-3.0.1.dist-info/licenses/LICENSE.html b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/latexcodec-3.0.1.dist-info/licenses/LICENSE.html new file mode 100644 index 000000000..b77475dfe --- /dev/null +++ b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/latexcodec-3.0.1.dist-info/licenses/LICENSE.html @@ -0,0 +1,522 @@ + + + + + + + + + + + <no title> — Applied Data Analysis and Machine Learning + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + +
+
+
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+ + + Ctrl+K +
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+ + + +
+

+ +
+
+ +
+

Contents

+
+ +
+
+
+ + + + +
+ +
+
latexcodec is a lexer and codec to work with LaTeX code in Python
+
Copyright (c) 2011-2020 by Matthias C. M. Troffaes
+
+

Permission is hereby granted, free of charge, to any person +obtaining a copy of this software and associated documentation +files (the “Software”), to deal in the Software without +restriction, including without limitation the rights to use, +copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the +Software is furnished to do so, subject to the following +conditions:

+

The above copyright notice and this permission notice shall be +included in all copies or substantial portions of the Software.

+

THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT +HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, +WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR +OTHER DEALINGS IN THE SOFTWARE.

+ + + + +
+ + + + + + +
+ +
+
+
+ +
+ + + +
+ + +
+
+ Contents +
+
+ +
+ + +
+ + + +
+
+
+ + + + + + + + \ No newline at end of file diff --git a/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/mdit_py_plugins/container/README.html b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/mdit_py_plugins/container/README.html new file mode 100644 index 000000000..2b8324e15 --- /dev/null +++ b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/mdit_py_plugins/container/README.html @@ -0,0 +1,596 @@ + + + + + + + + + + + markdown-it-container — Applied Data Analysis and Machine Learning + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + +
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+ + + Ctrl+K +
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+ + + +
+

markdown-it-container

+ +
+
+ +
+

Contents

+
+ +
+
+
+ + + + +
+ +
+

markdown-it-container#

+

Build Status +NPM version +Coverage Status

+
+

Plugin for creating block-level custom containers for markdown-it markdown parser.

+
+

v2.+ requires markdown-it v5.+, see changelog.

+

With this plugin you can create block containers like:

+
::: warning
+*here be dragons*
+:::
+
+
+

…. and specify how they should be rendered. If no renderer defined, <div> with +container name class will be created:

+
<div class="warning">
+<em>here be dragons</em>
+</div>
+
+
+

Markup is the same as for fenced code blocks. +Difference is, that marker use another character and content is rendered as markdown markup.

+
+

Installation#

+

node.js, browser:

+
$ npm install markdown-it-container --save
+$ bower install markdown-it-container --save
+
+
+
+
+

API#

+
var md = require('markdown-it')()
+            .use(require('markdown-it-container'), name [, options]);
+
+
+

Params:

+
    +

  • name - container name (mandatory)

    • +

  • options:

    +
      +

    • validate - optional, function to validate tail after opening marker, should +return true on success.

      • +

    • render - optional, renderer function for opening/closing tokens.

      • +

    • marker - optional (:), character to use in delimiter.

      • +
    +
    • +
+
+
+

Example#

+
var md = require('markdown-it')();
+
+md.use(require('markdown-it-container'), 'spoiler', {
+
+  validate: function(params) {
+    return params.trim().match(/^spoiler\s+(.*)$/);
+  },
+
+  render: function (tokens, idx) {
+    var m = tokens[idx].info.trim().match(/^spoiler\s+(.*)$/);
+
+    if (tokens[idx].nesting === 1) {
+      // opening tag
+      return '<details><summary>' + md.utils.escapeHtml(m[1]) + '</summary>\n';
+
+    } else {
+      // closing tag
+      return '</details>\n';
+    }
+  }
+});
+
+console.log(md.render('::: spoiler click me\n*content*\n:::\n'));
+
+// Output:
+//
+// <details><summary>click me</summary>
+// <p><em>content</em></p>
+// </details>
+
+
+
+
+

License#

+

MIT

+
+
+ + + + +
+ + + + + + +
+ +
+
+
+ +
+ + + +
+ + +
+
+ Contents +
+
+ +
+ + +
+ + + +
+
+
+ + + + + + + + \ No newline at end of file diff --git a/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/mdit_py_plugins/deflist/README.html b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/mdit_py_plugins/deflist/README.html new file mode 100644 index 000000000..e67e2fa7f --- /dev/null +++ b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/mdit_py_plugins/deflist/README.html @@ -0,0 +1,538 @@ + + + + + + + + + + + markdown-it-deflist — Applied Data Analysis and Machine Learning + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + + + + + + + + + +
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+ + + Ctrl+K +
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+ + + + + + + + + + + + + +
+ +
+ +
+
+ + + +
+

markdown-it-deflist

+ +
+
+ +
+

Contents

+
+ +
+
+
+ + + + +
+ +
+

markdown-it-deflist#

+

Build Status +NPM version +Coverage Status

+
+

Definition list (<dl>) tag plugin for markdown-it markdown parser.

+
+

v2.+ requires markdown-it v5.+, see changelog.

+

Syntax is based on pandoc definition lists.

+
+

Install#

+

node.js, browser:

+
npm install markdown-it-deflist --save
+bower install markdown-it-deflist --save
+
+
+
+
+

Use#

+
var md = require('markdown-it')()
+            .use(require('markdown-it-deflist'));
+
+md.render(/*...*/);
+
+
+

Differences in browser. If you load script directly into the page, without +package system, module will add itself globally as window.markdownitDeflist.

+
+
+

License#

+

MIT

+
+
+ + + + +
+ + + + + + +
+ +
+
+
+ +
+ + + +
+ + +
+
+ Contents +
+
+ +
+ + +
+ + + +
+
+
+ + + + + + + + \ No newline at end of file diff --git a/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/mdit_py_plugins/texmath/README.html b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/mdit_py_plugins/texmath/README.html new file mode 100644 index 000000000..1823f32e9 --- /dev/null +++ b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/mdit_py_plugins/texmath/README.html @@ -0,0 +1,734 @@ + + + + + + + + + + + markdown-it-texmath — Applied Data Analysis and Machine Learning + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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+ + + +
+

markdown-it-texmath

+ +
+ +
+
+ + + + +
+ +

License +npm +npm

+
+

markdown-it-texmath#

+

Add TeX math equations to your Markdown documents rendered by markdown-it parser. KaTeX is used as a fast math renderer.

+
+

Features#

+

Simplify the process of authoring markdown documents containing math formulas. +This extension is a comfortable tool for scientists, engineers and students with markdown as their first choice document format.

+
    +

  • Macro support

    • +

  • Simple formula numbering

    • +

  • Inline math with tables, lists and blockquote.

    • +

  • User setting delimiters:

    +
      +

    • 'dollars' (default)

      +
        +

      • inline: $...$

        • +

      • display: $$...$$

        • +

      • display + equation number: $$...$$ (1)

        • +
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      • +

    • 'brackets'

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      • inline: \(...\)

        • +

      • display: \[...\]

        • +

      • display + equation number: \[...\] (1)

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    • 'gitlab'

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      • inline: $`...`$

        • +

      • display: ```math ... ```

        • +

      • display + equation number: ```math ... ``` (1)

        • +
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      • +

    • 'julia'

      +
        +

      • inline: $...$ or ``...``

        • +

      • display: ```math ... ```

        • +

      • display + equation number: ```math ... ``` (1)

        • +
      +
      • +

    • 'kramdown'

      +
        +

      • inline: $$...$$

        • +

      • display: $$...$$

        • +

      • display + equation number: $$...$$ (1)

        • +
      +
      • +
    +
    • +
+
+
+

Show me#

+

View a test table.

+

try it out …

+
+
+

Use with node.js#

+

Install the extension. Verify having markdown-it and katex already installed .

+
npm install markdown-it-texmath
+
+
+

Use it with JavaScript.

+
let kt = require('katex'),
+    tm = require('markdown-it-texmath').use(kt),
+    md = require('markdown-it')().use(tm,{delimiters:'dollars',macros:{"\\RR": "\\mathbb{R}"}});
+
+md.render('Euler\'s identity \(e^{i\pi}+1=0\) is a beautiful formula in $\\RR 2$.')
+
+
+
+
+

Use in Browser#

+
<html>
+<head>
+  <meta charset='utf-8'>
+  <link rel="stylesheet" href="katex.min.css">
+  <link rel="stylesheet" href="texmath.css">
+  <script src="markdown-it.min.js"></script>
+  <script src="katex.min.js"></script>
+  <script src="texmath.js"></script>
+</head>
+<body>
+  <div id="out"></div>
+  <script>
+    let md;
+    document.addEventListener("DOMContentLoaded", () => {
+        const tm = texmath.use(katex);
+        md = markdownit().use(tm,{delimiters:'dollars',macros:{"\\RR": "\\mathbb{R}"}});
+        out.innerHTML = md.render('Euler\'s identity $e^{i\pi}+1=0$ is a beautiful formula in //RR 2.');
+    })
+  </script>
+</body>
+</html>
+
+
+
+
+

CDN#

+

Use following links for texmath.js and texmath.css

+
    +

  • https://gitcdn.xyz/cdn/goessner/markdown-it-texmath/master/texmath.js

    • +

  • https://gitcdn.xyz/cdn/goessner/markdown-it-texmath/master/texmath.css

    • +
+
+
+

Dependencies#

+
    +

  • markdown-it: Markdown parser done right. Fast and easy to extend.

    • +

  • katex: This is where credits for fast rendering TeX math in HTML go to.

    • +
+
+
+

ToDo#

+

nothing yet

+
+
+

FAQ#

+
    +

  • markdown-it-texmath with React Native does not work, why ?

    +
      +

    • markdown-it-texmath is using regular expressions with y (sticky) property and cannot avoid this. The use of the y flag in regular expressions means the plugin is not compatible with React Native (which as of now doesn’t support it and throws an error Invalid flags supplied to RegExp constructor).

      • +
    +
    • +
+
+
+

CHANGELOG#

+
+

[0.6.0] on October 04, 2019#

+ +
+
+

[0.5.5] on February 07, 2019#

+ +
+
+

[0.5.4] on January 20, 2019#

+ +
+
+

[0.5.3] on November 11, 2018#

+ +
+
+

[0.5.2] on September 07, 2018#

+ +
+
+

[0.5.0] on August 15, 2018#

+
    +

  • Fatal blockquote bug investigated. Implemented workaround to vscode bug, which has finally gone with vscode 1.26.0 .

    • +
+
+
+

[0.4.6] on January 05, 2018#

+
    +

  • Escaped underscore bug removed.

    • +
+
+
+

[0.4.5] on November 06, 2017#

+
    +

  • Backslash bug removed.

    • +
+
+
+

[0.4.4] on September 27, 2017#

+
    +

  • Modifying the block mode regular expression with gitlab delimiters, so removing the newline bug.

    • +
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+
+
+

License#

+

markdown-it-texmath is licensed under the MIT License

+

© Stefan Gössner

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BSD 3-Clause License

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Copyright (c) 2013-2024, Kim Davies and contributors. +All rights reserved.

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Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are +met:

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Contents

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Authors#

+
+

Creator#

+

Jonathan Slenders <jonathan AT slenders.be>

+
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Contributors#

+
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  • Amjith Ramanujam <amjith.r AT gmail.com>

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Contents

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+
pybtex-docutils is a docutils backend for pybtex
+
Copyright (c) 2013-2021 by Matthias C. M. Troffaes
+
+

Permission is hereby granted, free of charge, to any person +obtaining a copy of this software and associated documentation +files (the “Software”), to deal in the Software without +restriction, including without limitation the rights to use, +copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the +Software is furnished to do so, subject to the following +conditions:

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The above copyright notice and this permission notice shall be +included in all copies or substantial portions of the Software.

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THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT +HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, +WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR +OTHER DEALINGS IN THE SOFTWARE.

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Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are met:

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MIT License

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Copyright (c) 2018 - 2025 Isaac Muse isaacmuse@gmail.com

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Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the “Software”), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions:

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The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software.

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THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE.

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License for Sphinx

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License for Sphinx#

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Unless otherwise indicated, all code in the Sphinx project is licenced under the +two clause BSD licence below.

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Copyright (c) 2007-2024 by the Sphinx team (see AUTHORS file). +All rights reserved.

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Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are +met:

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  • Redistributions of source code must retain the above copyright +notice, this list of conditions and the following disclaimer.

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  • Redistributions in binary form must reproduce the above copyright +notice, this list of conditions and the following disclaimer in the +documentation and/or other materials provided with the distribution.

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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS +“AS IS” AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT +LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR +A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT +HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, +SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT +LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, +DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY +THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT +(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE +OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

+
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+

Licenses for incorporated software#

+

The included implementation of NumpyDocstring._parse_numpydoc_see_also_section +was derived from code under the following license:

+
+

Copyright (C) 2008 Stefan van der Walt <stefan@mentat.za.net>, Pauli Virtanen <pav@iki.fi>

+

Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are +met:

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THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS’’ AND ANY EXPRESS OR +IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED +WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +DISCLAIMED. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, +INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES +(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR +SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) +HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, +STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING +IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE +POSSIBILITY OF SUCH DAMAGE.

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+ + + + + + + + \ No newline at end of file diff --git a/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/sphinx_book_theme/assets/translations/README.html b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/sphinx_book_theme/assets/translations/README.html new file mode 100644 index 000000000..e06661802 --- /dev/null +++ b/doc/LectureNotes/_build/html/.venv/lib/python3.13/site-packages/sphinx_book_theme/assets/translations/README.html @@ -0,0 +1,565 @@ + + + + + + + + + + + Translation workflow — Applied Data Analysis and Machine Learning + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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Translation workflow

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Translation workflow#

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This folder contains code and translations for supporting multiple languages with Sphinx. +See the Sphinx internationalization documentation for more details.

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Structure of translation files#

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Translation source files#

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The source files for our translations are hand-edited, and contain the raw mapping of words onto various languages. +They are checked in to git history with this repository.

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src/sphinx_book_theme/assets/translations/jsons contains a collection of JSON files that define the translation for various phrases in this repository. +Each file is a different phrase, and its contents define language codes and translated phrases for each language we support. +They were originally created with the smodin.io language translator (see below for how to update them).

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Compiled translation files#

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The translation source files are compiled at build time (when we run stb compile) automatically. +This is executed by the Python script at python src/sphinx_book_theme/_compile_translations.py (more information on that below).

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These compiled files are not checked into .git history, but they are bundled with the theme when it is distributed in a package. +Here’s a brief explanation of each:

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  • src/sphinx_book_theme/theme/sphinx_book_theme/static/locales contains Sphinx locale files that were auto-converted from the files in jsons/ by the helper script below.

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  • src/sphinx_book_theme/_compile_translations.py is a helper script to auto-generate Sphinx locale files from the JSONs in jsons/.

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Workflow of translations#

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Here’s a short workflow of how to add a new translation, assuming that you are translating using the smodin.io service.

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  1. Go to the smodin.io service

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  2. Select as many languages as you like.

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  3. Type in the phrase you’d like to translate.

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  4. Click TRANSLATE and then Download JSON.

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  5. This will download a JSON file with a bunch of language-code: translated-phrase mappings.

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  6. Put this JSON in the jsons/ folder, and rename it to be the phrase you’ve translated in English. +So if the original phrase is My phrase, you should name the file My phrase.json.

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  7. Run the prettier formatter on this JSON to split it into multiple lines (this makes it easier to read and edit if translations should be updated)

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    prettier sphinx_book_theme/translations/jsons/<message name>.json
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  8. Run python src/sphinx_book_theme/_compile_translations.py

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  9. This will generate the locale files (.mo) that Sphinx uses in its translation machinery, and put them in locales/<language-code>/LC_MESSAGES/<msg>.mo.

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Sphinx should now know how to translate this message!

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To update a translation#

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To update a translation, you may go to the phase you’d like to modify in jsons/, then find the entry for the language you’d like to update, and change its value. +Finally, run python src/sphinx_book_theme/_compile_translations.py and this will update the .mo files.

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Contents

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sphinxcontrib-bibtex is a Sphinx extension for BibTeX style citations
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Contents

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PyZMQ’s CFFI support is designed only for (Unix) systems conforming to have_sys_un_h = True.

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+ + + + + + + + \ No newline at end of file diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/a11y_dark/README.md b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/a11y_dark/README.md new file mode 100644 index 000000000..23af038a3 --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/a11y_dark/README.md @@ -0,0 +1,26 @@ +# A11Y Dark + +This is the Pygments implementation of a11y-dark from [Eric Bailey's +accessible themes for syntax +highlighting](https://github.com/ericwbailey/a11y-syntax-highlighting) + +![Screenshot of the a11y-dark theme in a bash script](./images/a11y-dark.png) + +## Colors + +Background color: ![#2b2b2b](https://via.placeholder.com/20/2b2b2b/2b2b2b.png) `#2b2b2b` + +Highlight color: ![#ffd9002e](https://via.placeholder.com/20/ffd9002e/ffd9002e.png) `#ffd9002e` + +**WCAG compliance** + +| Color | Hex | Ratio | Normal text | Large text | +| ------------------------------------------------- | --------- | -------- | ----------- | ---------- | +| ![#d4d0ab](../../a11y_pygments/assets/d4d0ab.png) | `#d4d0ab` | 9.0 : 1 | AAA | AAA | +| ![#ffa07a](../../a11y_pygments/assets/ffa07a.png) | `#ffa07a` | 7.1 : 1 | AAA | AAA | +| ![#f5ab35](../../a11y_pygments/assets/f5ab35.png) | `#f5ab35` | 7.3 : 1 | AAA | AAA | +| ![#ffd700](../../a11y_pygments/assets/ffd700.png) | `#ffd700` | 10.1 : 1 | AAA | AAA | +| ![#abe338](../../a11y_pygments/assets/abe338.png) | `#abe338` | 9.3 : 1 | AAA | AAA | +| ![#00e0e0](../../a11y_pygments/assets/00e0e0.png) | `#00e0e0` | 8.6 : 1 | AAA | AAA | +| ![#dcc6e0](../../a11y_pygments/assets/dcc6e0.png) | `#dcc6e0` | 8.9 : 1 | AAA | AAA | +| ![#f8f8f2](../../a11y_pygments/assets/f8f8f2.png) | `#f8f8f2` | 13.3 : 1 | AAA | AAA | diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/a11y_high_contrast_dark/README.md b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/a11y_high_contrast_dark/README.md new file mode 100644 index 000000000..575b3759b --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/a11y_high_contrast_dark/README.md @@ -0,0 +1,22 @@ +# A11Y High Contrast Dark + +This style mimics the a11 light theme from eric bailey's accessible themes. + +![Screenshot of the a11y-high-contrast-dark theme in a bash script](./images/a11y-high-contrast-dark.png) + +## Colors + +Background color: ![#2b2b2b](https://via.placeholder.com/20/2b2b2b/2b2b2b.png) `#2b2b2b` + +Highlight color: ![#ffd9002e](https://via.placeholder.com/20/ffd9002e/ffd9002e.png) `#ffd9002e` + +**WCAG compliance** + +| Color | Hex | Ratio | Normal text | Large text | +| ------------------------------------------------- | --------- | -------- | ----------- | ---------- | +| ![#ffd900](../../a11y_pygments/assets/ffd900.png) | `#ffd900` | 10.2 : 1 | AAA | AAA | +| ![#ffa07a](../../a11y_pygments/assets/ffa07a.png) | `#ffa07a` | 7.1 : 1 | AAA | AAA | +| ![#abe338](../../a11y_pygments/assets/abe338.png) | `#abe338` | 9.3 : 1 | AAA | AAA | +| ![#00e0e0](../../a11y_pygments/assets/00e0e0.png) | `#00e0e0` | 8.6 : 1 | AAA | AAA | +| ![#dcc6e0](../../a11y_pygments/assets/dcc6e0.png) | `#dcc6e0` | 8.9 : 1 | AAA | AAA | +| ![#f8f8f2](../../a11y_pygments/assets/f8f8f2.png) | `#f8f8f2` | 13.3 : 1 | AAA | AAA | diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/a11y_high_contrast_light/README.md b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/a11y_high_contrast_light/README.md new file mode 100644 index 000000000..a0b6be8fc --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/a11y_high_contrast_light/README.md @@ -0,0 +1,24 @@ +# A11Y High Contrast Light + +This style mimics the a11y-light theme (but with more contrast) from eric bailey's accessible themes. + +![Screenshot of the a11y-high-contrast-light theme in a bash script](./images/a11y-high-contrast-light.png) + +## Colors + +Background color: ![#fefefe](https://via.placeholder.com/20/fefefe/fefefe.png) `#fefefe` + +Highlight color: ![#fae4c2](https://via.placeholder.com/20/fae4c2/fae4c2.png) `#fae4c2` + +**WCAG compliance** + +| Color | Hex | Ratio | Normal text | Large text | +| ------------------------------------------------- | --------- | -------- | ----------- | ---------- | +| ![#515151](../../a11y_pygments/assets/515151.png) | `#515151` | 7.9 : 1 | AAA | AAA | +| ![#a12236](../../a11y_pygments/assets/a12236.png) | `#a12236` | 7.4 : 1 | AAA | AAA | +| ![#7f4707](../../a11y_pygments/assets/7f4707.png) | `#7f4707` | 7.4 : 1 | AAA | AAA | +| ![#912583](../../a11y_pygments/assets/912583.png) | `#912583` | 7.4 : 1 | AAA | AAA | +| ![#00622f](../../a11y_pygments/assets/00622f.png) | `#00622f` | 7.5 : 1 | AAA | AAA | +| ![#005b82](../../a11y_pygments/assets/005b82.png) | `#005b82` | 7.4 : 1 | AAA | AAA | +| ![#6730c5](../../a11y_pygments/assets/6730c5.png) | `#6730c5` | 7.4 : 1 | AAA | AAA | +| ![#080808](../../a11y_pygments/assets/080808.png) | `#080808` | 19.9 : 1 | AAA | AAA | diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/a11y_light/README.md b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/a11y_light/README.md new file mode 100644 index 000000000..911cef825 --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/a11y_light/README.md @@ -0,0 +1,23 @@ +# A11Y Light + +This style inspired by the a11y-light theme from eric bailey's accessible themes. + +![Screenshot of the a11y-light theme in a bash script](./images/a11y-light.png) + +## Colors + +Background color: ![#f2f2f2](https://via.placeholder.com/20/f2f2f2/f2f2f2.png) `#f2f2f2` + +Highlight color: ![#fdf2e2](https://via.placeholder.com/20/fdf2e2/fdf2e2.png) `#fdf2e2` + +**WCAG compliance** + +| Color | Hex | Ratio | Normal text | Large text | +| ------------------------------------------------- | --------- | -------- | ----------- | ---------- | +| ![#515151](../../a11y_pygments/assets/515151.png) | `#515151` | 7.1 : 1 | AAA | AAA | +| ![#d71835](../../a11y_pygments/assets/d71835.png) | `#d71835` | 4.6 : 1 | AA | AAA | +| ![#7f4707](../../a11y_pygments/assets/7f4707.png) | `#7f4707` | 6.7 : 1 | AA | AAA | +| ![#116633](../../a11y_pygments/assets/116633.png) | `#116633` | 6.3 : 1 | AA | AAA | +| ![#00749c](../../a11y_pygments/assets/00749c.png) | `#00749c` | 4.7 : 1 | AA | AAA | +| ![#8045e5](../../a11y_pygments/assets/8045e5.png) | `#8045e5` | 4.8 : 1 | AA | AAA | +| ![#1e1e1e](../../a11y_pygments/assets/1e1e1e.png) | `#1e1e1e` | 14.9 : 1 | AAA | AAA | diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/blinds_dark/README.md b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/blinds_dark/README.md new file mode 100644 index 000000000..62529463f --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/blinds_dark/README.md @@ -0,0 +1,23 @@ +# Blinds Dark + +This style mimics the blinds dark theme from vscode themes. + +![Screenshot of the blinds-dark theme in a bash script](./images/blinds-dark.png) + +## Colors + +Background color: ![#242424](https://via.placeholder.com/20/242424/242424.png) `#242424` + +Highlight color: ![#66666691](https://via.placeholder.com/20/66666691/66666691.png) `#66666691` + +**WCAG compliance** + +| Color | Hex | Ratio | Normal text | Large text | +| ------------------------------------------------- | --------- | ------- | ----------- | ---------- | +| ![#8c8c8c](../../a11y_pygments/assets/8c8c8c.png) | `#8c8c8c` | 4.6 : 1 | AA | AAA | +| ![#ee6677](../../a11y_pygments/assets/ee6677.png) | `#ee6677` | 5.0 : 1 | AA | AAA | +| ![#ccbb44](../../a11y_pygments/assets/ccbb44.png) | `#ccbb44` | 8.0 : 1 | AAA | AAA | +| ![#66ccee](../../a11y_pygments/assets/66ccee.png) | `#66ccee` | 8.5 : 1 | AAA | AAA | +| ![#5391cf](../../a11y_pygments/assets/5391cf.png) | `#5391cf` | 4.7 : 1 | AA | AAA | +| ![#d166a3](../../a11y_pygments/assets/d166a3.png) | `#d166a3` | 4.5 : 1 | AA | AAA | +| ![#bbbbbb](../../a11y_pygments/assets/bbbbbb.png) | `#bbbbbb` | 8.1 : 1 | AAA | AAA | diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/blinds_light/README.md b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/blinds_light/README.md new file mode 100644 index 000000000..28e724e59 --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/blinds_light/README.md @@ -0,0 +1,23 @@ +# Blinds Light + +This style mimics the blinds light theme from vscode themes. + +![Screenshot of the blinds-light theme in a bash script](./images/blinds-light.png) + +## Colors + +Background color: ![#fcfcfc](https://via.placeholder.com/20/fcfcfc/fcfcfc.png) `#fcfcfc` + +Highlight color: ![#add6ff](https://via.placeholder.com/20/add6ff/add6ff.png) `#add6ff` + +**WCAG compliance** + +| Color | Hex | Ratio | Normal text | Large text | +| ------------------------------------------------- | --------- | -------- | ----------- | ---------- | +| ![#737373](../../a11y_pygments/assets/737373.png) | `#737373` | 4.6 : 1 | AA | AAA | +| ![#bf5400](../../a11y_pygments/assets/bf5400.png) | `#bf5400` | 4.6 : 1 | AA | AAA | +| ![#996b00](../../a11y_pygments/assets/996b00.png) | `#996b00` | 4.6 : 1 | AA | AAA | +| ![#008561](../../a11y_pygments/assets/008561.png) | `#008561` | 4.5 : 1 | AA | AAA | +| ![#0072b2](../../a11y_pygments/assets/0072b2.png) | `#0072b2` | 5.1 : 1 | AA | AAA | +| ![#cc398b](../../a11y_pygments/assets/cc398b.png) | `#cc398b` | 4.5 : 1 | AA | AAA | +| ![#000000](../../a11y_pygments/assets/000000.png) | `#000000` | 20.5 : 1 | AAA | AAA | diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/github_dark/README.md b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/github_dark/README.md new file mode 100644 index 000000000..0e24df43e --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/github_dark/README.md @@ -0,0 +1,23 @@ +# Github Dark + +This style mimics the github dark default theme from vs code themes. + +![Screenshot of the github-dark theme in a bash script](./images/github-dark.png) + +## Colors + +Background color: ![#0d1117](https://via.placeholder.com/20/0d1117/0d1117.png) `#0d1117` + +Highlight color: ![#6e7681](https://via.placeholder.com/20/6e7681/6e7681.png) `#6e7681` + +**WCAG compliance** + +| Color | Hex | Ratio | Normal text | Large text | +| ------------------------------------------------- | --------- | -------- | ----------- | ---------- | +| ![#8b949e](../../a11y_pygments/assets/8b949e.png) | `#8b949e` | 6.2 : 1 | AA | AAA | +| ![#ff7b72](../../a11y_pygments/assets/ff7b72.png) | `#ff7b72` | 7.5 : 1 | AAA | AAA | +| ![#ffa657](../../a11y_pygments/assets/ffa657.png) | `#ffa657` | 9.8 : 1 | AAA | AAA | +| ![#7ee787](../../a11y_pygments/assets/7ee787.png) | `#7ee787` | 12.3 : 1 | AAA | AAA | +| ![#79c0ff](../../a11y_pygments/assets/79c0ff.png) | `#79c0ff` | 9.7 : 1 | AAA | AAA | +| ![#d2a8ff](../../a11y_pygments/assets/d2a8ff.png) | `#d2a8ff` | 9.7 : 1 | AAA | AAA | +| ![#c9d1d9](../../a11y_pygments/assets/c9d1d9.png) | `#c9d1d9` | 12.3 : 1 | AAA | AAA | diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/github_dark_colorblind/README.md b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/github_dark_colorblind/README.md new file mode 100644 index 000000000..9ad72f9f9 --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/github_dark_colorblind/README.md @@ -0,0 +1,23 @@ +# Github Dark Colorblind + +This style mimics the github dark colorblind theme from vscode. + +![Screenshot of the github-dark-colorblind theme in a bash script](./images/github-dark-colorblind.png) + +## Colors + +Background color: ![#0d1117](https://via.placeholder.com/20/0d1117/0d1117.png) `#0d1117` + +Highlight color: ![#58a6ff70](https://via.placeholder.com/20/58a6ff70/58a6ff70.png) `#58a6ff70` + +**WCAG compliance** + +| Color | Hex | Ratio | Normal text | Large text | +| ------------------------------------------------- | --------- | -------- | ----------- | ---------- | +| ![#b1bac4](../../a11y_pygments/assets/b1bac4.png) | `#b1bac4` | 9.6 : 1 | AAA | AAA | +| ![#ec8e2c](../../a11y_pygments/assets/ec8e2c.png) | `#ec8e2c` | 7.6 : 1 | AAA | AAA | +| ![#fdac54](../../a11y_pygments/assets/fdac54.png) | `#fdac54` | 10.1 : 1 | AAA | AAA | +| ![#a5d6ff](../../a11y_pygments/assets/a5d6ff.png) | `#a5d6ff` | 12.3 : 1 | AAA | AAA | +| ![#79c0ff](../../a11y_pygments/assets/79c0ff.png) | `#79c0ff` | 9.7 : 1 | AAA | AAA | +| ![#d2a8ff](../../a11y_pygments/assets/d2a8ff.png) | `#d2a8ff` | 9.7 : 1 | AAA | AAA | +| ![#c9d1d9](../../a11y_pygments/assets/c9d1d9.png) | `#c9d1d9` | 12.3 : 1 | AAA | AAA | diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/github_dark_high_contrast/README.md b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/github_dark_high_contrast/README.md new file mode 100644 index 000000000..c395966c5 --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/github_dark_high_contrast/README.md @@ -0,0 +1,23 @@ +# Github Dark High Contrast + +This style mimics the github dark high contrast theme from vs code themes. + +![Screenshot of the github-dark-high-contrast theme in a bash script](./images/github-dark-high-contrast.png) + +## Colors + +Background color: ![#0d1117](https://via.placeholder.com/20/0d1117/0d1117.png) `#0d1117` + +Highlight color: ![#58a6ff70](https://via.placeholder.com/20/58a6ff70/58a6ff70.png) `#58a6ff70` + +**WCAG compliance** + +| Color | Hex | Ratio | Normal text | Large text | +| ------------------------------------------------- | --------- | -------- | ----------- | ---------- | +| ![#d9dee3](../../a11y_pygments/assets/d9dee3.png) | `#d9dee3` | 14.0 : 1 | AAA | AAA | +| ![#ff9492](../../a11y_pygments/assets/ff9492.png) | `#ff9492` | 8.9 : 1 | AAA | AAA | +| ![#ffb757](../../a11y_pygments/assets/ffb757.png) | `#ffb757` | 11.0 : 1 | AAA | AAA | +| ![#72f088](../../a11y_pygments/assets/72f088.png) | `#72f088` | 13.1 : 1 | AAA | AAA | +| ![#91cbff](../../a11y_pygments/assets/91cbff.png) | `#91cbff` | 11.0 : 1 | AAA | AAA | +| ![#dbb7ff](../../a11y_pygments/assets/dbb7ff.png) | `#dbb7ff` | 11.0 : 1 | AAA | AAA | +| ![#c9d1d9](../../a11y_pygments/assets/c9d1d9.png) | `#c9d1d9` | 12.3 : 1 | AAA | AAA | diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/github_light/README.md b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/github_light/README.md new file mode 100644 index 000000000..8059f6d20 --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/github_light/README.md @@ -0,0 +1,23 @@ +# Github Light + +This style mimics the github light theme from vscode themes. + +![Screenshot of the github-light theme in a bash script](./images/github-light.png) + +## Colors + +Background color: ![#ffffff](https://via.placeholder.com/20/ffffff/ffffff.png) `#ffffff` + +Highlight color: ![#0969da4a](https://via.placeholder.com/20/0969da4a/0969da4a.png) `#0969da4a` + +**WCAG compliance** + +| Color | Hex | Ratio | Normal text | Large text | +| ------------------------------------------------- | --------- | -------- | ----------- | ---------- | +| ![#6e7781](../../a11y_pygments/assets/6e7781.png) | `#6e7781` | 4.5 : 1 | AA | AAA | +| ![#cf222e](../../a11y_pygments/assets/cf222e.png) | `#cf222e` | 5.4 : 1 | AA | AAA | +| ![#953800](../../a11y_pygments/assets/953800.png) | `#953800` | 7.4 : 1 | AAA | AAA | +| ![#116329](../../a11y_pygments/assets/116329.png) | `#116329` | 7.4 : 1 | AAA | AAA | +| ![#0550ae](../../a11y_pygments/assets/0550ae.png) | `#0550ae` | 7.6 : 1 | AAA | AAA | +| ![#8250df](../../a11y_pygments/assets/8250df.png) | `#8250df` | 5.0 : 1 | AA | AAA | +| ![#24292f](../../a11y_pygments/assets/24292f.png) | `#24292f` | 14.7 : 1 | AAA | AAA | diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/github_light_colorblind/README.md b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/github_light_colorblind/README.md new file mode 100644 index 000000000..120cbd39a --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/github_light_colorblind/README.md @@ -0,0 +1,22 @@ +# Github Light Colorblind + +This style mimics the github light colorblind theme from vscode themes. + +![Screenshot of the github-light-colorblind theme in a bash script](./images/github-light-colorblind.png) + +## Colors + +Background color: ![#ffffff](https://via.placeholder.com/20/ffffff/ffffff.png) `#ffffff` + +Highlight color: ![#0969da4a](https://via.placeholder.com/20/0969da4a/0969da4a.png) `#0969da4a` + +**WCAG compliance** + +| Color | Hex | Ratio | Normal text | Large text | +| ------------------------------------------------- | --------- | -------- | ----------- | ---------- | +| ![#6e7781](../../a11y_pygments/assets/6e7781.png) | `#6e7781` | 4.5 : 1 | AA | AAA | +| ![#b35900](../../a11y_pygments/assets/b35900.png) | `#b35900` | 4.8 : 1 | AA | AAA | +| ![#8a4600](../../a11y_pygments/assets/8a4600.png) | `#8a4600` | 7.1 : 1 | AAA | AAA | +| ![#0550ae](../../a11y_pygments/assets/0550ae.png) | `#0550ae` | 7.6 : 1 | AAA | AAA | +| ![#8250df](../../a11y_pygments/assets/8250df.png) | `#8250df` | 5.0 : 1 | AA | AAA | +| ![#24292f](../../a11y_pygments/assets/24292f.png) | `#24292f` | 14.7 : 1 | AAA | AAA | diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/github_light_high_contrast/README.md b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/github_light_high_contrast/README.md new file mode 100644 index 000000000..e938e986f --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/github_light_high_contrast/README.md @@ -0,0 +1,23 @@ +# Github Light High Contrast + +This style mimics the github light high contrast theme from vscode themes. + +![Screenshot of the github-light-high-contrast theme in a bash script](./images/github-light-high-contrast.png) + +## Colors + +Background color: ![#ffffff](https://via.placeholder.com/20/ffffff/ffffff.png) `#ffffff` + +Highlight color: ![#0969da4a](https://via.placeholder.com/20/0969da4a/0969da4a.png) `#0969da4a` + +**WCAG compliance** + +| Color | Hex | Ratio | Normal text | Large text | +| ------------------------------------------------- | --------- | -------- | ----------- | ---------- | +| ![#66707b](../../a11y_pygments/assets/66707b.png) | `#66707b` | 5.0 : 1 | AA | AAA | +| ![#a0111f](../../a11y_pygments/assets/a0111f.png) | `#a0111f` | 8.1 : 1 | AAA | AAA | +| ![#702c00](../../a11y_pygments/assets/702c00.png) | `#702c00` | 10.2 : 1 | AAA | AAA | +| ![#024c1a](../../a11y_pygments/assets/024c1a.png) | `#024c1a` | 10.2 : 1 | AAA | AAA | +| ![#023b95](../../a11y_pygments/assets/023b95.png) | `#023b95` | 10.2 : 1 | AAA | AAA | +| ![#622cbc](../../a11y_pygments/assets/622cbc.png) | `#622cbc` | 8.1 : 1 | AAA | AAA | +| ![#24292f](../../a11y_pygments/assets/24292f.png) | `#24292f` | 14.7 : 1 | AAA | AAA | diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/gotthard_dark/README.md b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/gotthard_dark/README.md new file mode 100644 index 000000000..8fa52f430 --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/gotthard_dark/README.md @@ -0,0 +1,23 @@ +# Gotthard Dark + +This style mimics the gotthard dark theme from vscode. + +![Screenshot of the gotthard-dark theme in a bash script](./images/gotthard-dark.png) + +## Colors + +Background color: ![#000000](https://via.placeholder.com/20/000000/000000.png) `#000000` + +Highlight color: ![#4c4b4be8](https://via.placeholder.com/20/4c4b4be8/4c4b4be8.png) `#4c4b4be8` + +**WCAG compliance** + +| Color | Hex | Ratio | Normal text | Large text | +| ------------------------------------------------- | --------- | -------- | ----------- | ---------- | +| ![#f5f5f5](../../a11y_pygments/assets/f5f5f5.png) | `#f5f5f5` | 19.3 : 1 | AAA | AAA | +| ![#ab6369](../../a11y_pygments/assets/ab6369.png) | `#ab6369` | 4.7 : 1 | AA | AAA | +| ![#b89784](../../a11y_pygments/assets/b89784.png) | `#b89784` | 7.8 : 1 | AAA | AAA | +| ![#caab6d](../../a11y_pygments/assets/caab6d.png) | `#caab6d` | 9.6 : 1 | AAA | AAA | +| ![#81b19b](../../a11y_pygments/assets/81b19b.png) | `#81b19b` | 8.7 : 1 | AAA | AAA | +| ![#6f98b3](../../a11y_pygments/assets/6f98b3.png) | `#6f98b3` | 6.8 : 1 | AA | AAA | +| ![#b19db4](../../a11y_pygments/assets/b19db4.png) | `#b19db4` | 8.4 : 1 | AAA | AAA | diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/gotthard_light/README.md b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/gotthard_light/README.md new file mode 100644 index 000000000..4ff0d9874 --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/gotthard_light/README.md @@ -0,0 +1,23 @@ +# Gotthard Light + +This style mimics the gotthard light theme from vscode. + +![Screenshot of the gotthard-light theme in a bash script](./images/gotthard-light.png) + +## Colors + +Background color: ![#F5F5F5](https://via.placeholder.com/20/F5F5F5/F5F5F5.png) `#F5F5F5` + +Highlight color: ![#E1E1E1](https://via.placeholder.com/20/E1E1E1/E1E1E1.png) `#E1E1E1` + +**WCAG compliance** + +| Color | Hex | Ratio | Normal text | Large text | +| ------------------------------------------------- | --------- | -------- | ----------- | ---------- | +| ![#141414](../../a11y_pygments/assets/141414.png) | `#141414` | 16.9 : 1 | AAA | AAA | +| ![#9f4e55](../../a11y_pygments/assets/9f4e55.png) | `#9f4e55` | 5.2 : 1 | AA | AAA | +| ![#a25e53](../../a11y_pygments/assets/a25e53.png) | `#a25e53` | 4.5 : 1 | AA | AAA | +| ![#98661b](../../a11y_pygments/assets/98661b.png) | `#98661b` | 4.5 : 1 | AA | AAA | +| ![#437a6b](../../a11y_pygments/assets/437a6b.png) | `#437a6b` | 4.5 : 1 | AA | AAA | +| ![#3d73a9](../../a11y_pygments/assets/3d73a9.png) | `#3d73a9` | 4.6 : 1 | AA | AAA | +| ![#974eb7](../../a11y_pygments/assets/974eb7.png) | `#974eb7` | 4.7 : 1 | AA | AAA | diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/greative/README.md b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/greative/README.md new file mode 100644 index 000000000..5e70f12fe --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/greative/README.md @@ -0,0 +1,23 @@ +# Greative + +This style mimics greative theme from vscode themes. + +![Screenshot of the greative theme in a bash script](./images/greative.png) + +## Colors + +Background color: ![#010726](https://via.placeholder.com/20/010726/010726.png) `#010726` + +Highlight color: ![#473d18](https://via.placeholder.com/20/473d18/473d18.png) `#473d18` + +**WCAG compliance** + +| Color | Hex | Ratio | Normal text | Large text | +| ------------------------------------------------- | --------- | -------- | ----------- | ---------- | +| ![#797979](../../a11y_pygments/assets/797979.png) | `#797979` | 4.6 : 1 | AA | AAA | +| ![#f78c6c](../../a11y_pygments/assets/f78c6c.png) | `#f78c6c` | 8.4 : 1 | AAA | AAA | +| ![#9e8741](../../a11y_pygments/assets/9e8741.png) | `#9e8741` | 5.7 : 1 | AA | AAA | +| ![#c5e478](../../a11y_pygments/assets/c5e478.png) | `#c5e478` | 13.9 : 1 | AAA | AAA | +| ![#a2bffc](../../a11y_pygments/assets/a2bffc.png) | `#a2bffc` | 10.8 : 1 | AAA | AAA | +| ![#5ca7e4](../../a11y_pygments/assets/5ca7e4.png) | `#5ca7e4` | 7.6 : 1 | AAA | AAA | +| ![#9e86c8](../../a11y_pygments/assets/9e86c8.png) | `#9e86c8` | 6.3 : 1 | AA | AAA | diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/pitaya_smoothie/README.md b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/pitaya_smoothie/README.md new file mode 100644 index 000000000..a83a734b2 --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/a11y_pygments/pitaya_smoothie/README.md @@ -0,0 +1,25 @@ +# Pitaya Smoothie + +This style mimics the a11 light theme from eric bailey's accessible themes. + +![Screenshot of the pitaya-smoothie theme in a bash script](./images/pitaya-smoothie.png) + +## Colors + +Background color: ![#181036](https://via.placeholder.com/20/181036/181036.png) `#181036` + +Highlight color: ![#2A1968](https://via.placeholder.com/20/2A1968/2A1968.png) `#2A1968` + +**WCAG compliance** + +| Color | Hex | Ratio | Normal text | Large text | +| ------------------------------------------------- | --------- | -------- | ----------- | ---------- | +| ![#8786ac](../../a11y_pygments/assets/8786ac.png) | `#8786ac` | 5.2 : 1 | AA | AAA | +| ![#f26196](../../a11y_pygments/assets/f26196.png) | `#f26196` | 5.9 : 1 | AA | AAA | +| ![#f5a394](../../a11y_pygments/assets/f5a394.png) | `#f5a394` | 9.0 : 1 | AAA | AAA | +| ![#fad000](../../a11y_pygments/assets/fad000.png) | `#fad000` | 12.1 : 1 | AAA | AAA | +| ![#18c1c4](../../a11y_pygments/assets/18c1c4.png) | `#18c1c4` | 8.1 : 1 | AAA | AAA | +| ![#66e9ec](../../a11y_pygments/assets/66e9ec.png) | `#66e9ec` | 12.4 : 1 | AAA | AAA | +| ![#7998f2](../../a11y_pygments/assets/7998f2.png) | `#7998f2` | 6.5 : 1 | AA | AAA | +| ![#c4a2f5](../../a11y_pygments/assets/c4a2f5.png) | `#c4a2f5` | 8.4 : 1 | AAA | AAA | +| ![#fefeff](../../a11y_pygments/assets/fefeff.png) | `#fefeff` | 17.9 : 1 | AAA | AAA | diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/alabaster-0.7.16.dist-info/LICENSE.rst b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/alabaster-0.7.16.dist-info/LICENSE.rst new file mode 100644 index 000000000..19361a719 --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/alabaster-0.7.16.dist-info/LICENSE.rst @@ -0,0 +1,34 @@ +Copyright (c) 2020 Jeff Forcier. + +Based on original work copyright (c) 2011 Kenneth Reitz and copyright (c) 2010 +Armin Ronacher. + +Some rights reserved. + +Redistribution and use in source and binary forms of the theme, with or +without modification, are permitted provided that the following conditions +are met: + +* Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + +* Redistributions in binary form must reproduce the above + copyright notice, this list of conditions and the following + disclaimer in the documentation and/or other materials provided + with the distribution. + +* The names of the contributors may not be used to endorse or + promote products derived from this software without specific + prior written permission. + +THIS THEME IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" +AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE +IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE +ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE +LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR +CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF +SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS +INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN +CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) +ARISING IN ANY WAY OUT OF THE USE OF THIS THEME, EVEN IF ADVISED OF THE +POSSIBILITY OF SUCH DAMAGE. diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/debugpy/_vendored/pydevd/pydevd_plugins/extensions/README.md b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/debugpy/_vendored/pydevd/pydevd_plugins/extensions/README.md new file mode 100644 index 000000000..030e303ee --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/debugpy/_vendored/pydevd/pydevd_plugins/extensions/README.md @@ -0,0 +1,30 @@ +Extensions allow extending the debugger without modifying the debugger code. This is implemented with explicit namespace +packages. + +To implement your own extension: + +1. Ensure that the root folder of your extension is in sys.path (add it to PYTHONPATH) +2. Ensure that your module follows the directory structure below +3. The ``__init__.py`` files inside the pydevd_plugin and extension folder must contain the preamble below, +and nothing else. +Preamble: +```python +try: + __import__('pkg_resources').declare_namespace(__name__) +except ImportError: + import pkgutil + __path__ = pkgutil.extend_path(__path__, __name__) +``` +4. Your plugin name inside the extensions folder must start with `"pydevd_plugin"` +5. Implement one or more of the abstract base classes defined in `_pydevd_bundle.pydevd_extension_api`. This can be done +by either inheriting from them or registering with the abstract base class. + +* Directory structure: +``` +|-- root_directory-> must be on python path +| |-- pydevd_plugins +| | |-- __init__.py -> must contain preamble +| | |-- extensions +| | | |-- __init__.py -> must contain preamble +| | | |-- pydevd_plugin_plugin_name.py +``` \ No newline at end of file diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/idna-3.10.dist-info/LICENSE.md b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/idna-3.10.dist-info/LICENSE.md new file mode 100644 index 000000000..19b6b4524 --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/idna-3.10.dist-info/LICENSE.md @@ -0,0 +1,31 @@ +BSD 3-Clause License + +Copyright (c) 2013-2024, Kim Davies and contributors. +All rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are +met: + +1. Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + +2. Redistributions in binary form must reproduce the above copyright + notice, this list of conditions and the following disclaimer in the + documentation and/or other materials provided with the distribution. + +3. Neither the name of the copyright holder nor the names of its + contributors may be used to endorse or promote products derived from + this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS +"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT +LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR +A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT +HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, +SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED +TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR +PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF +LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING +NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS +SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/imagesize-1.4.1.dist-info/LICENSE.rst b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/imagesize-1.4.1.dist-info/LICENSE.rst new file mode 100644 index 000000000..58a2394f0 --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/imagesize-1.4.1.dist-info/LICENSE.rst @@ -0,0 +1,19 @@ +The MIT License (MIT) +---------------------------- + +Copyright © 2016 Yoshiki Shibukawa + +Permission is hereby granted, free of charge, to any person obtaining a copy of this software +and associated documentation files (the “Software”), to deal in the Software without restriction, +including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, +and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, +subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all copies or substantial +portions of the Software. + +THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT +NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. +IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, +WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH +THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/ipython-9.5.0.dist-info/licenses/COPYING.rst b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/ipython-9.5.0.dist-info/licenses/COPYING.rst new file mode 100644 index 000000000..e5c79ef38 --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/ipython-9.5.0.dist-info/licenses/COPYING.rst @@ -0,0 +1,41 @@ +============================= + The IPython licensing terms +============================= + +IPython is licensed under the terms of the Modified BSD License (also known as +New or Revised or 3-Clause BSD). See the LICENSE file. + + +About the IPython Development Team +---------------------------------- + +Fernando Perez began IPython in 2001 based on code from Janko Hauser + and Nathaniel Gray . Fernando is still +the project lead. + +The IPython Development Team is the set of all contributors to the IPython +project. This includes all of the IPython subprojects. + +The core team that coordinates development on GitHub can be found here: +https://github.com/ipython/. + +Our Copyright Policy +-------------------- + +IPython uses a shared copyright model. Each contributor maintains copyright +over their contributions to IPython. But, it is important to note that these +contributions are typically only changes to the repositories. Thus, the IPython +source code, in its entirety is not the copyright of any single person or +institution. Instead, it is the collective copyright of the entire IPython +Development Team. If individual contributors want to maintain a record of what +changes/contributions they have specific copyright on, they should indicate +their copyright in the commit message of the change, when they commit the +change to one of the IPython repositories. + +With this in mind, the following banner should be used in any source code file +to indicate the copyright and license terms: + +:: + + # Copyright (c) IPython Development Team. + # Distributed under the terms of the Modified BSD License. diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/jupyter_book/book_template/intro.md b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/jupyter_book/book_template/intro.md new file mode 100644 index 000000000..f8cdc73cb --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/jupyter_book/book_template/intro.md @@ -0,0 +1,11 @@ +# Welcome to your Jupyter Book + +This is a small sample book to give you a feel for how book content is +structured. +It shows off a few of the major file types, as well as some sample content. +It does not go in-depth into any particular topic - check out [the Jupyter Book documentation](https://jupyterbook.org) for more information. + +Check out the content pages bundled with this sample book to see more. + +```{tableofcontents} +``` diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/jupyter_book/book_template/markdown-notebooks.md b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/jupyter_book/book_template/markdown-notebooks.md new file mode 100644 index 000000000..a057a320d --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/jupyter_book/book_template/markdown-notebooks.md @@ -0,0 +1,53 @@ +--- +jupytext: + formats: md:myst + text_representation: + extension: .md + format_name: myst + format_version: 0.13 + jupytext_version: 1.11.5 +kernelspec: + display_name: Python 3 + language: python + name: python3 +--- + +# Notebooks with MyST Markdown + +Jupyter Book also lets you write text-based notebooks using MyST Markdown. +See [the Notebooks with MyST Markdown documentation](https://jupyterbook.org/file-types/myst-notebooks.html) for more detailed instructions. +This page shows off a notebook written in MyST Markdown. + +## An example cell + +With MyST Markdown, you can define code cells with a directive like so: + +```{code-cell} +print(2 + 2) +``` + +When your book is built, the contents of any `{code-cell}` blocks will be +executed with your default Jupyter kernel, and their outputs will be displayed +in-line with the rest of your content. + +```{seealso} +Jupyter Book uses [Jupytext](https://jupytext.readthedocs.io/en/latest/) to convert text-based files to notebooks, and can support [many other text-based notebook files](https://jupyterbook.org/file-types/jupytext.html). +``` + +## Create a notebook with MyST Markdown + +MyST Markdown notebooks are defined by two things: + +1. YAML metadata that is needed to understand if / how it should convert text files to notebooks (including information about the kernel needed). + See the YAML at the top of this page for example. +2. The presence of `{code-cell}` directives, which will be executed with your book. + +That's all that is needed to get started! + +## Quickly add YAML metadata for MyST Notebooks + +If you have a markdown file and you'd like to quickly add YAML metadata to it, so that Jupyter Book will treat it as a MyST Markdown Notebook, run the following command: + +``` +jupyter-book myst init path/to/markdownfile.md +``` diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/jupyter_book/book_template/markdown.md b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/jupyter_book/book_template/markdown.md new file mode 100644 index 000000000..faeea6061 --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/jupyter_book/book_template/markdown.md @@ -0,0 +1,55 @@ +# Markdown Files + +Whether you write your book's content in Jupyter Notebooks (`.ipynb`) or +in regular markdown files (`.md`), you'll write in the same flavor of markdown +called **MyST Markdown**. +This is a simple file to help you get started and show off some syntax. + +## What is MyST? + +MyST stands for "Markedly Structured Text". It +is a slight variation on a flavor of markdown called "CommonMark" markdown, +with small syntax extensions to allow you to write **roles** and **directives** +in the Sphinx ecosystem. + +For more about MyST, see [the MyST Markdown Overview](https://jupyterbook.org/content/myst.html). + +## Sample Roles and Directives + +Roles and directives are two of the most powerful tools in Jupyter Book. They +are like functions, but written in a markup language. They both +serve a similar purpose, but **roles are written in one line**, whereas +**directives span many lines**. They both accept different kinds of inputs, +and what they do with those inputs depends on the specific role or directive +that is being called. + +Here is a "note" directive: + +```{note} +Here is a note +``` + +It will be rendered in a special box when you build your book. + +Here is an inline directive to refer to a document: {doc}`markdown-notebooks`. + + +## Citations + +You can also cite references that are stored in a `bibtex` file. For example, +the following syntax: `` {cite}`holdgraf_evidence_2014` `` will render like +this: {cite}`holdgraf_evidence_2014`. + +Moreover, you can insert a bibliography into your page with this syntax: +The `{bibliography}` directive must be used for all the `{cite}` roles to +render properly. +For example, if the references for your book are stored in `references.bib`, +then the bibliography is inserted with: + +```{bibliography} +``` + +## Learn more + +This is just a simple starter to get you started. +You can learn a lot more at [jupyterbook.org](https://jupyterbook.org). diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/jupyter_book/book_template/notebooks.ipynb b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/jupyter_book/book_template/notebooks.ipynb new file mode 100644 index 000000000..fdb7176c4 --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/jupyter_book/book_template/notebooks.ipynb @@ -0,0 +1,122 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Content with notebooks\n", + "\n", + "You can also create content with Jupyter Notebooks. This means that you can include\n", + "code blocks and their outputs in your book.\n", + "\n", + "## Markdown + notebooks\n", + "\n", + "As it is markdown, you can embed images, HTML, etc into your posts!\n", + "\n", + "![](https://myst-parser.readthedocs.io/en/latest/_static/logo-wide.svg)\n", + "\n", + "You can also $add_{math}$ and\n", + "\n", + "$$\n", + "math^{blocks}\n", + "$$\n", + "\n", + "or\n", + "\n", + "$$\n", + "\\begin{aligned}\n", + "\\mbox{mean} la_{tex} \\\\ \\\\\n", + "math blocks\n", + "\\end{aligned}\n", + "$$\n", + "\n", + "But make sure you \\$Escape \\$your \\$dollar signs \\$you want to keep!\n", + "\n", + "## MyST markdown\n", + "\n", + "MyST markdown works in Jupyter Notebooks as well. For more information about MyST markdown, check\n", + "out [the MyST guide in Jupyter Book](https://jupyterbook.org/content/myst.html),\n", + "or see [the MyST markdown documentation](https://myst-parser.readthedocs.io/en/latest/).\n", + "\n", + "## Code blocks and outputs\n", + "\n", + "Jupyter Book will also embed your code blocks and output in your book.\n", + "For example, here's some sample Matplotlib code:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from matplotlib import rcParams, cycler\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "plt.ion()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Fixing random state for reproducibility\n", + "np.random.seed(19680801)\n", + "\n", + "N = 10\n", + "data = [np.logspace(0, 1, 100) + np.random.randn(100) + ii for ii in range(N)]\n", + "data = np.array(data).T\n", + "cmap = plt.cm.coolwarm\n", + "rcParams['axes.prop_cycle'] = cycler(color=cmap(np.linspace(0, 1, N)))\n", + "\n", + "\n", + "from matplotlib.lines import Line2D\n", + "custom_lines = [Line2D([0], [0], color=cmap(0.), lw=4),\n", + " Line2D([0], [0], color=cmap(.5), lw=4),\n", + " Line2D([0], [0], color=cmap(1.), lw=4)]\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 5))\n", + "lines = ax.plot(data)\n", + "ax.legend(custom_lines, ['Cold', 'Medium', 'Hot']);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "There is a lot more that you can do with outputs (such as including interactive outputs)\n", + "with your book. For more information about this, see [the Jupyter Book documentation](https://jupyterbook.org)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.0" + }, + "widgets": { + "application/vnd.jupyter.widget-state+json": { + "state": {}, + "version_major": 2, + "version_minor": 0 + } + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/latexcodec-3.0.1.dist-info/licenses/AUTHORS.rst b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/latexcodec-3.0.1.dist-info/licenses/AUTHORS.rst new file mode 100644 index 000000000..a9d662da7 --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/latexcodec-3.0.1.dist-info/licenses/AUTHORS.rst @@ -0,0 +1,26 @@ +Main authors: + +* David Eppstein + + - wrote the original LaTeX codec as a recipe on ActiveState + http://code.activestate.com/recipes/252124-latex-codec/ + +* Peter Tröger + + - wrote the original latexcodec package, which contained a simple + but very effective LaTeX encoder + +* Matthias Troffaes (matthias.troffaes@gmail.com) + + - wrote the lexer + + - integrated codec with the lexer for a simpler and more robust + design + + - various bugfixes + +Contributors: + +* Michael Radziej + +* Philipp Spitzer diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/latexcodec-3.0.1.dist-info/licenses/LICENSE.rst b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/latexcodec-3.0.1.dist-info/licenses/LICENSE.rst new file mode 100644 index 000000000..a7dbb5e82 --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/latexcodec-3.0.1.dist-info/licenses/LICENSE.rst @@ -0,0 +1,23 @@ +| latexcodec is a lexer and codec to work with LaTeX code in Python +| Copyright (c) 2011-2020 by Matthias C. M. Troffaes + +Permission is hereby granted, free of charge, to any person +obtaining a copy of this software and associated documentation +files (the "Software"), to deal in the Software without +restriction, including without limitation the rights to use, +copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the +Software is furnished to do so, subject to the following +conditions: + +The above copyright notice and this permission notice shall be +included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT +HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, +WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR +OTHER DEALINGS IN THE SOFTWARE. diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/mdit_py_plugins/container/README.md b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/mdit_py_plugins/container/README.md new file mode 100644 index 000000000..03868d78b --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/mdit_py_plugins/container/README.md @@ -0,0 +1,95 @@ +# markdown-it-container + +[![Build Status](https://img.shields.io/travis/markdown-it/markdown-it-container/master.svg?style=flat)](https://travis-ci.org/markdown-it/markdown-it-container) +[![NPM version](https://img.shields.io/npm/v/markdown-it-container.svg?style=flat)](https://www.npmjs.org/package/markdown-it-container) +[![Coverage Status](https://img.shields.io/coveralls/markdown-it/markdown-it-container/master.svg?style=flat)](https://coveralls.io/r/markdown-it/markdown-it-container?branch=master) + +> Plugin for creating block-level custom containers for [markdown-it](https://github.com/markdown-it/markdown-it) markdown parser. + +__v2.+ requires `markdown-it` v5.+, see changelog.__ + +With this plugin you can create block containers like: + +``` +::: warning +*here be dragons* +::: +``` + +.... and specify how they should be rendered. If no renderer defined, `
` with +container name class will be created: + +```html +
+here be dragons +
+``` + +Markup is the same as for [fenced code blocks](http://spec.commonmark.org/0.18/#fenced-code-blocks). +Difference is, that marker use another character and content is rendered as markdown markup. + + +## Installation + +node.js, browser: + +```bash +$ npm install markdown-it-container --save +$ bower install markdown-it-container --save +``` + + +## API + +```js +var md = require('markdown-it')() + .use(require('markdown-it-container'), name [, options]); +``` + +Params: + +- __name__ - container name (mandatory) +- __options:__ + - __validate__ - optional, function to validate tail after opening marker, should + return `true` on success. + - __render__ - optional, renderer function for opening/closing tokens. + - __marker__ - optional (`:`), character to use in delimiter. + + +## Example + +```js +var md = require('markdown-it')(); + +md.use(require('markdown-it-container'), 'spoiler', { + + validate: function(params) { + return params.trim().match(/^spoiler\s+(.*)$/); + }, + + render: function (tokens, idx) { + var m = tokens[idx].info.trim().match(/^spoiler\s+(.*)$/); + + if (tokens[idx].nesting === 1) { + // opening tag + return '
' + md.utils.escapeHtml(m[1]) + '\n'; + + } else { + // closing tag + return '
\n'; + } + } +}); + +console.log(md.render('::: spoiler click me\n*content*\n:::\n')); + +// Output: +// +//
click me +//

content

+//
+``` + +## License + +[MIT](https://github.com/markdown-it/markdown-it-container/blob/master/LICENSE) diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/mdit_py_plugins/deflist/README.md b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/mdit_py_plugins/deflist/README.md new file mode 100644 index 000000000..414157bcc --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/mdit_py_plugins/deflist/README.md @@ -0,0 +1,38 @@ +# markdown-it-deflist + +[![Build Status](https://img.shields.io/travis/markdown-it/markdown-it-deflist/master.svg?style=flat)](https://travis-ci.org/markdown-it/markdown-it-deflist) +[![NPM version](https://img.shields.io/npm/v/markdown-it-deflist.svg?style=flat)](https://www.npmjs.org/package/markdown-it-deflist) +[![Coverage Status](https://img.shields.io/coveralls/markdown-it/markdown-it-deflist/master.svg?style=flat)](https://coveralls.io/r/markdown-it/markdown-it-deflist?branch=master) + +> Definition list (`
`) tag plugin for [markdown-it](https://github.com/markdown-it/markdown-it) markdown parser. + +__v2.+ requires `markdown-it` v5.+, see changelog.__ + +Syntax is based on [pandoc definition lists](http://johnmacfarlane.net/pandoc/README.html#definition-lists). + + +## Install + +node.js, browser: + +```bash +npm install markdown-it-deflist --save +bower install markdown-it-deflist --save +``` + +## Use + +```js +var md = require('markdown-it')() + .use(require('markdown-it-deflist')); + +md.render(/*...*/); +``` + +_Differences in browser._ If you load script directly into the page, without +package system, module will add itself globally as `window.markdownitDeflist`. + + +## License + +[MIT](https://github.com/markdown-it/markdown-it-deflist/blob/master/LICENSE) diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/mdit_py_plugins/texmath/README.md b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/mdit_py_plugins/texmath/README.md new file mode 100644 index 000000000..f79f33563 --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/mdit_py_plugins/texmath/README.md @@ -0,0 +1,137 @@ +[![License](https://img.shields.io/github/license/goessner/markdown-it-texmath.svg)](https://github.com/goessner/markdown-it-texmath/blob/master/licence.txt) +[![npm](https://img.shields.io/npm/v/markdown-it-texmath.svg)](https://www.npmjs.com/package/markdown-it-texmath) +[![npm](https://img.shields.io/npm/dt/markdown-it-texmath.svg)](https://www.npmjs.com/package/markdown-it-texmath) + +# markdown-it-texmath + +Add TeX math equations to your Markdown documents rendered by [markdown-it](https://github.com/markdown-it/markdown-it) parser. [KaTeX](https://github.com/Khan/KaTeX) is used as a fast math renderer. + +## Features +Simplify the process of authoring markdown documents containing math formulas. +This extension is a comfortable tool for scientists, engineers and students with markdown as their first choice document format. + +* Macro support +* Simple formula numbering +* Inline math with tables, lists and blockquote. +* User setting delimiters: + * `'dollars'` (default) + * inline: `$...$` + * display: `$$...$$` + * display + equation number: `$$...$$ (1)` + * `'brackets'` + * inline: `\(...\)` + * display: `\[...\]` + * display + equation number: `\[...\] (1)` + * `'gitlab'` + * inline: ``$`...`$`` + * display: `` ```math ... ``` `` + * display + equation number: `` ```math ... ``` (1)`` + * `'julia'` + * inline: `$...$` or ``` ``...`` ``` + * display: `` ```math ... ``` `` + * display + equation number: `` ```math ... ``` (1)`` + * `'kramdown'` + * inline: ``$$...$$`` + * display: `$$...$$` + * display + equation number: `$$...$$ (1)` + +## Show me + +View a [test table](https://goessner.github.io/markdown-it-texmath/index.html). + +[try it out ...](https://goessner.github.io/markdown-it-texmath/markdown-it-texmath-demo.html) + +## Use with `node.js` + +Install the extension. Verify having `markdown-it` and `katex` already installed . +``` +npm install markdown-it-texmath +``` +Use it with JavaScript. +```js +let kt = require('katex'), + tm = require('markdown-it-texmath').use(kt), + md = require('markdown-it')().use(tm,{delimiters:'dollars',macros:{"\\RR": "\\mathbb{R}"}}); + +md.render('Euler\'s identity \(e^{i\pi}+1=0\) is a beautiful formula in $\\RR 2$.') +``` + +## Use in Browser +```html + + + + + + + + + + +
+ + + +``` +## CDN + +Use following links for `texmath.js` and `texmath.css` +* `https://gitcdn.xyz/cdn/goessner/markdown-it-texmath/master/texmath.js` +* `https://gitcdn.xyz/cdn/goessner/markdown-it-texmath/master/texmath.css` + +## Dependencies + +* [`markdown-it`](https://github.com/markdown-it/markdown-it): Markdown parser done right. Fast and easy to extend. +* [`katex`](https://github.com/Khan/KaTeX): This is where credits for fast rendering TeX math in HTML go to. + +## ToDo + + nothing yet + +## FAQ + +* __`markdown-it-texmath` with React Native does not work, why ?__ + * `markdown-it-texmath` is using regular expressions with `y` [(sticky) property](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/RegExp/sticky) and cannot avoid this. The use of the `y` flag in regular expressions means the plugin is not compatible with React Native (which as of now doesn't support it and throws an error `Invalid flags supplied to RegExp constructor`). + +## CHANGELOG + +### [0.6.0] on October 04, 2019 +* Add support for [Julia Markdown](https://docs.julialang.org/en/v1/stdlib/Markdown/) on [request](https://github.com/goessner/markdown-it-texmath/issues/15). + +### [0.5.5] on February 07, 2019 +* Remove [rendering bug with brackets delimiters](https://github.com/goessner/markdown-it-texmath/issues/9). + +### [0.5.4] on January 20, 2019 +* Remove pathological [bug within blockquotes](https://github.com/goessner/mdmath/issues/50). + +### [0.5.3] on November 11, 2018 +* Add support for Tex macros (https://katex.org/docs/supported.html#macros) . +* Bug with [brackets delimiters](https://github.com/goessner/markdown-it-texmath/issues/9) . + +### [0.5.2] on September 07, 2018 +* Add support for [Kramdown](https://kramdown.gettalong.org/) . + +### [0.5.0] on August 15, 2018 +* Fatal blockquote bug investigated. Implemented workaround to vscode bug, which has finally gone with vscode 1.26.0 . + +### [0.4.6] on January 05, 2018 +* Escaped underscore bug removed. + +### [0.4.5] on November 06, 2017 +* Backslash bug removed. + +### [0.4.4] on September 27, 2017 +* Modifying the `block` mode regular expression with `gitlab` delimiters, so removing the `newline` bug. + +## License + +`markdown-it-texmath` is licensed under the [MIT License](./license.txt) + + © [Stefan Gössner](https://github.com/goessner) diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/pip-25.2.dist-info/licenses/src/pip/_vendor/idna/LICENSE.md b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/pip-25.2.dist-info/licenses/src/pip/_vendor/idna/LICENSE.md new file mode 100644 index 000000000..19b6b4524 --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/pip-25.2.dist-info/licenses/src/pip/_vendor/idna/LICENSE.md @@ -0,0 +1,31 @@ +BSD 3-Clause License + +Copyright (c) 2013-2024, Kim Davies and contributors. +All rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are +met: + +1. Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + +2. Redistributions in binary form must reproduce the above copyright + notice, this list of conditions and the following disclaimer in the + documentation and/or other materials provided with the distribution. + +3. Neither the name of the copyright holder nor the names of its + contributors may be used to endorse or promote products derived from + this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS +"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT +LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR +A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT +HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, +SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED +TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR +PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF +LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING +NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS +SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/prompt_toolkit-3.0.52.dist-info/licenses/AUTHORS.rst b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/prompt_toolkit-3.0.52.dist-info/licenses/AUTHORS.rst new file mode 100644 index 000000000..f7c8f60f4 --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/prompt_toolkit-3.0.52.dist-info/licenses/AUTHORS.rst @@ -0,0 +1,11 @@ +Authors +======= + +Creator +------- +Jonathan Slenders + +Contributors +------------ + +- Amjith Ramanujam diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/pybtex_docutils-1.0.3.dist-info/LICENSE.rst b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/pybtex_docutils-1.0.3.dist-info/LICENSE.rst new file mode 100644 index 000000000..aff5c5aa2 --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/pybtex_docutils-1.0.3.dist-info/LICENSE.rst @@ -0,0 +1,23 @@ +| pybtex-docutils is a docutils backend for pybtex +| Copyright (c) 2013-2021 by Matthias C. M. Troffaes + +Permission is hereby granted, free of charge, to any person +obtaining a copy of this software and associated documentation +files (the "Software"), to deal in the Software without +restriction, including without limitation the rights to use, +copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the +Software is furnished to do so, subject to the following +conditions: + +The above copyright notice and this permission notice shall be +included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT +HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, +WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR +OTHER DEALINGS IN THE SOFTWARE. diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/pyzmq-27.0.2.dist-info/licenses/LICENSE.md b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/pyzmq-27.0.2.dist-info/licenses/LICENSE.md new file mode 100644 index 000000000..f7072d1c9 --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/pyzmq-27.0.2.dist-info/licenses/LICENSE.md @@ -0,0 +1,30 @@ +BSD 3-Clause License + +Copyright (c) 2009-2012, Brian Granger, Min Ragan-Kelley + +All rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are met: + +1. Redistributions of source code must retain the above copyright notice, this + list of conditions and the following disclaimer. + +2. Redistributions in binary form must reproduce the above copyright notice, + this list of conditions and the following disclaimer in the documentation + and/or other materials provided with the distribution. + +3. Neither the name of the copyright holder nor the names of its + contributors may be used to endorse or promote products derived from + this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" +AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE +IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE +FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL +DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR +SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER +CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, +OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE +OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/soupsieve-2.8.dist-info/licenses/LICENSE.md b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/soupsieve-2.8.dist-info/licenses/LICENSE.md new file mode 100644 index 000000000..20528a992 --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/soupsieve-2.8.dist-info/licenses/LICENSE.md @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2018 - 2025 Isaac Muse + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/sphinx-7.4.7.dist-info/LICENSE.rst b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/sphinx-7.4.7.dist-info/LICENSE.rst new file mode 100644 index 000000000..db36b190c --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/sphinx-7.4.7.dist-info/LICENSE.rst @@ -0,0 +1,67 @@ +License for Sphinx +================== + +Unless otherwise indicated, all code in the Sphinx project is licenced under the +two clause BSD licence below. + +Copyright (c) 2007-2024 by the Sphinx team (see AUTHORS file). +All rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are +met: + +* Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + +* Redistributions in binary form must reproduce the above copyright + notice, this list of conditions and the following disclaimer in the + documentation and/or other materials provided with the distribution. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS +"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT +LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR +A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT +HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, +SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT +LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, +DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY +THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT +(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE +OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. + + +Licenses for incorporated software +================================== + +The included implementation of NumpyDocstring._parse_numpydoc_see_also_section +was derived from code under the following license: + +------------------------------------------------------------------------------- + +Copyright (C) 2008 Stefan van der Walt , Pauli Virtanen + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are +met: + + 1. Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + 2. Redistributions in binary form must reproduce the above copyright + notice, this list of conditions and the following disclaimer in + the documentation and/or other materials provided with the + distribution. + +THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS OR +IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED +WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +DISCLAIMED. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, +INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES +(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR +SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) +HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, +STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING +IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE +POSSIBILITY OF SUCH DAMAGE. + +------------------------------------------------------------------------------- diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/sphinx_book_theme/assets/translations/README.md b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/sphinx_book_theme/assets/translations/README.md new file mode 100644 index 000000000..9e7e1deb5 --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/sphinx_book_theme/assets/translations/README.md @@ -0,0 +1,53 @@ +# Translation workflow + +This folder contains code and translations for supporting multiple languages with Sphinx. +See [the Sphinx internationalization documentation](https://www.sphinx-doc.org/en/master/usage/configuration.html) for more details. + +## Structure of translation files + +### Translation source files + +The source files for our translations are hand-edited, and contain the raw mapping of words onto various languages. +They are checked in to `git` history with this repository. + +`src/sphinx_book_theme/assets/translations/jsons` contains a collection of JSON files that define the translation for various phrases in this repository. +Each file is a different phrase, and its contents define language codes and translated phrases for each language we support. +They were originally created with [the smodin.io language translator](https://smodin.me/translate-one-text-into-multiple-languages) (see below for how to update them). + +### Compiled translation files + +The translation source files are compiled at build time (when we run `stb compile`) automatically. +This is executed by the Python script at `python src/sphinx_book_theme/_compile_translations.py` (more information on that below). + +These compiled files are **not checked into `.git` history**, but they **are** bundled with the theme when it is distributed in a package. +Here's a brief explanation of each: + +- `src/sphinx_book_theme/theme/sphinx_book_theme/static/locales` contains Sphinx locale files that were auto-converted from the files in `jsons/` by the helper script below. +- `src/sphinx_book_theme/_compile_translations.py` is a helper script to auto-generate Sphinx locale files from the JSONs in `jsons/`. + +## Workflow of translations + +Here's a short workflow of how to add a new translation, assuming that you are translating using the [smodin.io service](https://smodin.io/translate-one-text-into-multiple-languages). + +1. Go to [the smodin.io service](https://smodin.io/translate-one-text-into-multiple-languages) +2. Select as many languages as you like. +3. Type in the phrase you'd like to translate. +4. Click `TRANSLATE` and then `Download JSON`. +5. This will download a JSON file with a bunch of `language-code: translated-phrase` mappings. +6. Put this JSON in the `jsons/` folder, and rename it to be the phrase you've translated in English. + So if the original phrase is `My phrase`, you should name the file `My phrase.json`. +7. Run [the `prettier` formatter](https://prettier.io/) on this JSON to split it into multiple lines (this makes it easier to read and edit if translations should be updated) + + ```bash + prettier sphinx_book_theme/translations/jsons/.json + ``` + +8. Run `python src/sphinx_book_theme/_compile_translations.py` +9. This will generate the locale files (`.mo`) that Sphinx uses in its translation machinery, and put them in `locales//LC_MESSAGES/.mo`. + +Sphinx should now know how to translate this message! + +## To update a translation + +To update a translation, you may go to the phase you'd like to modify in `jsons/`, then find the entry for the language you'd like to update, and change its value. +Finally, run `python src/sphinx_book_theme/_compile_translations.py` and this will update the `.mo` files. diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/sphinxcontrib_bibtex-2.6.5.dist-info/licenses/LICENSE.rst b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/sphinxcontrib_bibtex-2.6.5.dist-info/licenses/LICENSE.rst new file mode 100644 index 000000000..fb3f16937 --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/sphinxcontrib_bibtex-2.6.5.dist-info/licenses/LICENSE.rst @@ -0,0 +1,26 @@ +| sphinxcontrib-bibtex is a Sphinx extension for BibTeX style citations +| Copyright (c) 2011-2024 by Matthias C. M. Troffaes +| All rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are +met: + +* Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + +* Redistributions in binary form must reproduce the above copyright + notice, this list of conditions and the following disclaimer in the + documentation and/or other materials provided with the distribution. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS +"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT +LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR +A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT +OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, +SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT +LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, +DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY +THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT +(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE +OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. diff --git a/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/zmq/backend/cffi/README.md b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/zmq/backend/cffi/README.md new file mode 100644 index 000000000..00bb32989 --- /dev/null +++ b/doc/LectureNotes/_build/html/_sources/.venv/lib/python3.13/site-packages/zmq/backend/cffi/README.md @@ -0,0 +1 @@ +PyZMQ's CFFI support is designed only for (Unix) systems conforming to `have_sys_un_h = True`. diff --git a/doc/LectureNotes/_build/html/_sources/exercisesweek38.ipynb b/doc/LectureNotes/_build/html/_sources/exercisesweek38.ipynb index 60cc93b8e..f58edd704 100644 --- a/doc/LectureNotes/_build/html/_sources/exercisesweek38.ipynb +++ b/doc/LectureNotes/_build/html/_sources/exercisesweek38.ipynb @@ -245,9 +245,13 @@ "id": "831db06c", "metadata": {}, "source": [ - "**a)** Show that you can rewrite this in terms of a term which contains the variance of the model itself (the so-called variance term), a\n", - "term which measures the deviation from the true data and the mean value of the model (the bias term) and finally the variance of the noise Note that in order to be able to evaluate the bias them, you will need to approximate the function $f$ with the model ${\\bf y}$.\n", - "show that\n" + "**a)** Show that you can rewrite this into an expression which contains\n", + "\n", + "- the variance of the model (the variance term)\n", + "- the expected deviation of the mean of the model from the true data (the bias term)\n", + "- the variance of the noise\n", + "\n", + "In other words, show that:\n" ] }, { @@ -403,6 +407,8 @@ "# X = ...\n", "# X_train, X_test, y_train, y_test = ...\n", "#\n", + "# #this is where you fit your model on the sampled data\n", + "#\n", "# predictions[b, :] =\n", "# targets[b, :] =\n", "#\n", @@ -418,7 +424,7 @@ "source": [ "**e)** Discuss the bias-variance trade-off as function of your model complexity (the degree of the polynomial).\n", "\n", - "**f)** Compute and discuss the bias and variance as function of the number of data points (choose a suitable polynomial degree to show something interesiting).\n" + "**f)** Compute and discuss the bias and variance as function of the number of data points (choose a suitable polynomial degree to show something interesting).\n" ] }, { diff --git a/doc/LectureNotes/_build/html/_sources/exercisesweek39.ipynb b/doc/LectureNotes/_build/html/_sources/exercisesweek39.ipynb index 7e520c96d..22a86cb56 100644 --- a/doc/LectureNotes/_build/html/_sources/exercisesweek39.ipynb +++ b/doc/LectureNotes/_build/html/_sources/exercisesweek39.ipynb @@ -56,7 +56,7 @@ "source": [ "We require all projects to be formatted as proper scientific reports, and this includes using LaTeX for typesetting. We strongly recommend that you use the online LaTeX editor Overleaf, as it is much easier to start using, and has excellent support for collaboration.\n", "\n", - "**a)** Create an account on Overleaf.com\n", + "**a)** Create an account on Overleaf.com, or log in using SSO with your UiO email.\n", "\n", "**b)** Download [this](https://github.com/CompPhysics/MachineLearning/blob/master/doc/LectureNotes/data/FYS_STK_Template.zip) template project.\n", "\n", @@ -67,18 +67,6 @@ "**e)** Look at the provided example of an earlier project, found at \n" ] }, - { - "cell_type": "code", - "execution_count": null, - "id": "338b2ee1", - "metadata": { - "vscode": { - "languageId": "plaintext" - } - }, - "outputs": [], - "source": [] - }, { "cell_type": "markdown", "id": "ec36f4c3", @@ -130,7 +118,7 @@ "id": "2f512b59", "metadata": {}, "source": [ - "## Exercise 4: Making the code avaliable and presentable\n" + "## Exercise 4: Making the code available and presentable\n" ] }, { diff --git 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@@ -28,7 +28,7 @@ - + diff --git a/doc/LectureNotes/_build/html/chapter10.html b/doc/LectureNotes/_build/html/chapter10.html index 918b6958f..c625ed161 100644 --- a/doc/LectureNotes/_build/html/chapter10.html +++ b/doc/LectureNotes/_build/html/chapter10.html @@ -28,7 +28,7 @@ - + diff --git a/doc/LectureNotes/_build/html/chapter11.html b/doc/LectureNotes/_build/html/chapter11.html index a53617ee5..d8363b8fd 100644 --- a/doc/LectureNotes/_build/html/chapter11.html +++ b/doc/LectureNotes/_build/html/chapter11.html @@ -28,7 +28,7 @@ - + diff --git a/doc/LectureNotes/_build/html/chapter12.html b/doc/LectureNotes/_build/html/chapter12.html index ac191e228..a248c1f7a 100644 --- a/doc/LectureNotes/_build/html/chapter12.html +++ b/doc/LectureNotes/_build/html/chapter12.html @@ -28,7 +28,7 @@ - + diff --git a/doc/LectureNotes/_build/html/chapter13.html b/doc/LectureNotes/_build/html/chapter13.html index 89bb65c96..114df2480 100644 --- a/doc/LectureNotes/_build/html/chapter13.html +++ b/doc/LectureNotes/_build/html/chapter13.html @@ -28,7 +28,7 @@ - + diff --git a/doc/LectureNotes/_build/html/chapter2.html b/doc/LectureNotes/_build/html/chapter2.html index 59ae699f9..7fc3a81e8 100644 --- a/doc/LectureNotes/_build/html/chapter2.html +++ b/doc/LectureNotes/_build/html/chapter2.html @@ -28,7 +28,7 @@ - + diff --git a/doc/LectureNotes/_build/html/chapter3.html b/doc/LectureNotes/_build/html/chapter3.html index 798c138c0..5b6f144a2 100644 --- a/doc/LectureNotes/_build/html/chapter3.html +++ b/doc/LectureNotes/_build/html/chapter3.html @@ -28,7 +28,7 @@ - + diff --git a/doc/LectureNotes/_build/html/chapter4.html b/doc/LectureNotes/_build/html/chapter4.html index f541b9757..b2adc281d 100644 --- a/doc/LectureNotes/_build/html/chapter4.html +++ b/doc/LectureNotes/_build/html/chapter4.html @@ -28,7 +28,7 @@ - + diff --git a/doc/LectureNotes/_build/html/chapter5.html b/doc/LectureNotes/_build/html/chapter5.html index cdcb60ab6..067dcafed 100644 --- a/doc/LectureNotes/_build/html/chapter5.html +++ b/doc/LectureNotes/_build/html/chapter5.html @@ -28,7 +28,7 @@ - + diff --git a/doc/LectureNotes/_build/html/chapter6.html b/doc/LectureNotes/_build/html/chapter6.html index 8b6783288..8f7a045e0 100644 --- a/doc/LectureNotes/_build/html/chapter6.html +++ b/doc/LectureNotes/_build/html/chapter6.html @@ -28,7 +28,7 @@ - + diff --git a/doc/LectureNotes/_build/html/chapter7.html b/doc/LectureNotes/_build/html/chapter7.html index 8d58ece05..b53893836 100644 --- a/doc/LectureNotes/_build/html/chapter7.html +++ b/doc/LectureNotes/_build/html/chapter7.html @@ -28,7 +28,7 @@ - + diff --git a/doc/LectureNotes/_build/html/chapter8.html b/doc/LectureNotes/_build/html/chapter8.html index 04db9ff82..255d45ca8 100644 --- a/doc/LectureNotes/_build/html/chapter8.html +++ b/doc/LectureNotes/_build/html/chapter8.html @@ -28,7 +28,7 @@ - + diff --git a/doc/LectureNotes/_build/html/chapter9.html b/doc/LectureNotes/_build/html/chapter9.html index 7d38feb07..1e12ff160 100644 --- a/doc/LectureNotes/_build/html/chapter9.html +++ b/doc/LectureNotes/_build/html/chapter9.html @@ -28,7 +28,7 @@ - + diff --git a/doc/LectureNotes/_build/html/chapteroptimization.html b/doc/LectureNotes/_build/html/chapteroptimization.html index efee0f389..3bd85d7a8 100644 --- a/doc/LectureNotes/_build/html/chapteroptimization.html +++ b/doc/LectureNotes/_build/html/chapteroptimization.html @@ -28,7 +28,7 @@ - + diff --git a/doc/LectureNotes/_build/html/clustering.html b/doc/LectureNotes/_build/html/clustering.html index 205e9c95d..552b41401 100644 --- a/doc/LectureNotes/_build/html/clustering.html +++ b/doc/LectureNotes/_build/html/clustering.html @@ -28,7 +28,7 @@ - + diff --git a/doc/LectureNotes/_build/html/exercisesweek34.html b/doc/LectureNotes/_build/html/exercisesweek34.html index 1b0a8f2c1..e21bd8ec7 100644 --- a/doc/LectureNotes/_build/html/exercisesweek34.html +++ b/doc/LectureNotes/_build/html/exercisesweek34.html @@ -28,7 +28,7 @@ - + @@ -478,11 +478,11 @@ document.write(`

b) Compute the mean square error for the line model and for the second degree polynomial model.

-
import numpy as np
-import matplotlib.pyplot as plt
-from sklearn.preprocessing import PolynomialFeatures # use the fit_transform method of the created object!
-from sklearn.linear_model import LinearRegression
-from sklearn.metrics import mean_squared_error
+
import numpy as np
+import matplotlib.pyplot as plt
+from sklearn.preprocessing import PolynomialFeatures # use the fit_transform method of the created object!
+from sklearn.linear_model import LinearRegression
+from sklearn.metrics import mean_squared_error
@@ -519,7 +519,7 @@ document.write(`

Hopefully your model fit the data quite well, but to know how well the model actually generalizes to unseen data, which is most often what we care about, we need to split our data into training and testing data.

-
from sklearn.model_selection import train_test_split
+
from sklearn.model_selection import train_test_split
diff --git a/doc/LectureNotes/_build/html/exercisesweek35.html b/doc/LectureNotes/_build/html/exercisesweek35.html index e202ce500..6737f0cdb 100644 --- a/doc/LectureNotes/_build/html/exercisesweek35.html +++ b/doc/LectureNotes/_build/html/exercisesweek35.html @@ -28,7 +28,7 @@ - + @@ -514,7 +514,7 @@ f_i =\sum_{j=0}^{n-1}a_{ij}x_j,

We calculate the optimal intercept by including a feature with the constant value of 1 in our model, which is then multplied by some parameter \(\theta_0\) from the OLS method into the optimal intercept value (which will be \(\theta_0\)). In practice, we include the intercept in our model by adding a column of ones to the start of our feature matrix.

-
import numpy as np
+
import numpy as np
@@ -543,7 +543,7 @@ f_i =\sum_{j=0}^{n-1}a_{ij}x_j,

b) Use the expression from 3d) to find the optimal parameters \(\boldsymbol{\hat{\beta}_{OLS}}\) for predicting spending based on these features. Create a function for this operation, as you are going to need to use it a lot.

-
def OLS_parameters(X, y):
+
def OLS_parameters(X, y):
     return ...
 
 #beta = OLS_parameters(X, y)
@@ -568,7 +568,7 @@ f_i =\sum_{j=0}^{n-1}a_{ij}x_j,
 
a) Create a feature matrix \(\boldsymbol{X}\) for the features \(x, x^2, x^3, x^4, x^5\), including an intercept column of ones at the start. Make this into a function, as you will do this a lot over the next weeks.

 

 

-
def polynomial_features(x, p):
+
def polynomial_features(x, p):
     n = len(x)
     X = np.zeros((n, p + 1))
     #X[:, 0] = ...
@@ -592,7 +592,7 @@ f_i =\sum_{j=0}^{n-1}a_{ij}x_j,
 
c) Like in exercise 4 last week, split your feature matrix and target data into a training split and test split.

 

 

-
from sklearn.model_selection import train_test_split
+
from sklearn.model_selection import train_test_split
 
 #X_train, X_test, y_train, y_test = ...
 

diff --git a/doc/LectureNotes/_build/html/exercisesweek36.html b/doc/LectureNotes/_build/html/exercisesweek36.html
index 2385eec16..9fc5de590 100644
--- a/doc/LectureNotes/_build/html/exercisesweek36.html
+++ b/doc/LectureNotes/_build/html/exercisesweek36.html
@@ -28,7 +28,7 @@
 
 
 
-    
+    
     
     
     
@@ -466,10 +466,10 @@ defining a new cost function to be optimized, that is

 
Exercise 3 - Scaling data#

 

 

-
import numpy as np
-import matplotlib.pyplot as plt
-from sklearn.model_selection import train_test_split
-from sklearn.preprocessing import StandardScaler
+
import numpy as np
+import matplotlib.pyplot as plt
+from sklearn.model_selection import train_test_split
+from sklearn.preprocessing import StandardScaler
 

 

 

@@ -486,7 +486,7 @@ defining a new cost function to be optimized, that is

 
a) Adapt your function from last week to only include the intercept column if the boolean argument intercept is set to true.

 

 

-
def polynomial_features(x, p, intercept=False):
+
def polynomial_features(x, p, intercept=False):
     n = len(x)
     X = np.zeros((n, p + 1))
     #X[:, 0] = ...
@@ -499,7 +499,7 @@ defining a new cost function to be optimized, that is

 

 

 

-
def polynomial_features(x, p, intercept=False):
+
def polynomial_features(x, p, intercept=False):
     n = len(x)
     X = np.zeros((n, p))
     X[:, 0] = x[:]
@@ -545,7 +545,7 @@ defining a new cost function to be optimized, that is

 
a) Implement a function for computing the optimal Ridge parameters using the expression from 2a).

 

 

-
def Ridge_parameters(X, y):
+
def Ridge_parameters(X, y):
     # Assumes X is scaled and has no intercept column
     return np.linalg.inv(X.T @ X) @ X.T @ y
 
diff --git a/doc/LectureNotes/_build/html/exercisesweek37.html b/doc/LectureNotes/_build/html/exercisesweek37.html
index 28056dcaa..57df62d86 100644
--- a/doc/LectureNotes/_build/html/exercisesweek37.html
+++ b/doc/LectureNotes/_build/html/exercisesweek37.html
@@ -28,7 +28,7 @@
 
 
 
-    
+    
     
     
     
diff --git a/doc/LectureNotes/_build/html/exercisesweek38.html b/doc/LectureNotes/_build/html/exercisesweek38.html
index 6af844e2d..5f3ebf6aa 100644
--- a/doc/LectureNotes/_build/html/exercisesweek38.html
+++ b/doc/LectureNotes/_build/html/exercisesweek38.html
@@ -28,7 +28,7 @@
 
 
 
-    
+    
     
     
     
@@ -495,9 +495,13 @@ A given parameter \({\boldsymbol{\hat
 \[
 C(\boldsymbol{X},\boldsymbol{\beta}) =\frac{1}{n}\sum_{i=0}^{n-1}(y_i-\tilde{y}_i)^2=\mathbb{E}\left[(\boldsymbol{y}-\boldsymbol{\tilde{y}})^2\right]
 \]

-
a) Show that you can rewrite this in terms of a term which contains the variance of the model itself (the so-called variance term), a
-term which measures the deviation from the true data and the mean value of the model (the bias term) and finally the variance of the noise Note that in order to be able to evaluate the bias them, you will need to approximate the function \(f\) with the model \({\bf y}\).
-show that

+
a) Show that you can rewrite this into an expression which contains

+
    
+
  • the variance of the model (the variance term)
    • 
+
  • the expected deviation of the mean of the model from the true data (the bias term)
    • 
+
  • the variance of the noise
    • 
+

+
In other words, show that:

 

 \[
 \mathbb{E}\left[(\boldsymbol{y}-\boldsymbol{\tilde{y}})^2\right]=\mathrm{Bias}[\tilde{y}]+\mathrm{var}[\tilde{y}]+\sigma^2,
@@ -520,7 +524,7 @@ show that

 
a) Using the expression above, compute the mean squared error, bias and variance of the given data. Check that the sum of the bias and variance correctly gives (approximately) the mean squared error.

 

 

-
import numpy as np
+
import numpy as np
 
 n = 100
 bootstraps = 1000
@@ -540,15 +544,15 @@ show that

 
d) Perform a bias-variance analysis of a polynomial OLS model fit to a one-dimensional function by computing and plotting the bias and variances values as a function of the polynomial degree of your model.

 

 

-
import numpy as np
-import matplotlib.pyplot as plt
-from sklearn.preprocessing import (
+
import numpy as np
+import matplotlib.pyplot as plt
+from sklearn.preprocessing import (
     PolynomialFeatures,
 )  # use the fit_transform method of the created object!
-from sklearn.linear_model import LinearRegression
-from sklearn.metrics import mean_squared_error
-from sklearn.model_selection import train_test_split
-from sklearn.utils import resample
+from sklearn.linear_model import LinearRegression
+from sklearn.metrics import mean_squared_error
+from sklearn.model_selection import train_test_split
+from sklearn.utils import resample
 

 

 

@@ -573,6 +577,8 @@ show that

 #        X = ...
 #        X_train, X_test, y_train, y_test = ...
 #
+#        #this is where you fit your model on the sampled data
+#
 #        predictions[b, :] =
 #        targets[b, :] =
 #
@@ -584,7 +590,7 @@ show that

 

 

 
e) Discuss the bias-variance trade-off as function of your model complexity (the degree of the polynomial).

-
f) Compute and discuss the bias and variance as function of the number of data points (choose a suitable polynomial degree to show something interesiting).

+
f) Compute and discuss the bias and variance as function of the number of data points (choose a suitable polynomial degree to show something interesting).

 
 

 
Exercise 5: Interpretation of scaling and metrics#

diff --git a/doc/LectureNotes/_build/html/exercisesweek39.html b/doc/LectureNotes/_build/html/exercisesweek39.html
index 850b3f56c..fe9aab69f 100644
--- a/doc/LectureNotes/_build/html/exercisesweek39.html
+++ b/doc/LectureNotes/_build/html/exercisesweek39.html
@@ -28,7 +28,7 @@
 
 
 
-    
+    
     
     
     
@@ -391,7 +391,7 @@ document.write(`
 
  • Exercise 1: Creating the report document
    • 
 
  • Exercise 2: Adding good figures
    • 
 
  • Exercise 3: Writing an abstract and introduction
    • 
-
  • Exercise 4: Making the code avaliable and presentable
    • 
+
  • Exercise 4: Making the code available and presentable
    • 
 
  • Exercise 5: Referencing
    • 
 
             
@@ -431,7 +431,7 @@ document.write(`
 
    
 
    Exercise 1: Creating the report document#
    
 
    We require all projects to be formatted as proper scientific reports, and this includes using LaTeX for typesetting. We strongly recommend that you use the online LaTeX editor Overleaf, as it is much easier to start using, and has excellent support for collaboration.
    
-
    a) Create an account on Overleaf.com
    
+
    a) Create an account on Overleaf.com, or log in using SSO with your UiO email.
    
 
    b) Download this template project.
    
 
    c) Create a new Overleaf project with the correct formatting by uploading the template project.
    
 
    d) Read the general guideline for writing a report, which can be found at CompPhysics/MachineLearning.
    
@@ -452,8 +452,8 @@ document.write(`
 
    b) Write an abstract for project 1 in your report.
    
 
    c) Write an introduction for project 1 in your report.
    
 
    
-
    
-
    Exercise 4: Making the code avaliable and presentable#
    
+
    
+
    Exercise 4: Making the code available and presentable#
    
 
    A central part of the report is the code you write to implement the methods and generate the results. To get points for the code-part of the project, you need to make your code avaliable and presentable.
    
 
    a) Create a github repository for project 1, or create a dedicated folder for project 1 in a github repository. Only one person in your group needs to do this.
    
 
    b) Add a PDF of the report to this repository, after completing exercises 1-3
    
@@ -548,7 +548,7 @@ document.write(`
 
  • Exercise 1: Creating the report document
    • 
 
  • Exercise 2: Adding good figures
    • 
 
  • Exercise 3: Writing an abstract and introduction
    • 
-
  • Exercise 4: Making the code avaliable and presentable
    • 
+
  • Exercise 4: Making the code available and presentable
    • 
 
  • Exercise 5: Referencing
    • 
 
   
    
diff --git a/doc/LectureNotes/_build/html/genindex.html b/doc/LectureNotes/_build/html/genindex.html
index 509c2f94b..48d9ef0b7 100644
--- a/doc/LectureNotes/_build/html/genindex.html
+++ b/doc/LectureNotes/_build/html/genindex.html
@@ -27,7 +27,7 @@
 
 
 
-    
+    
     
     
     
diff --git a/doc/LectureNotes/_build/html/intro.html b/doc/LectureNotes/_build/html/intro.html
index e08577b7c..bcc0edf98 100644
--- a/doc/LectureNotes/_build/html/intro.html
+++ b/doc/LectureNotes/_build/html/intro.html
@@ -28,7 +28,7 @@
 
 
 
-    
+    
     
     
     
diff --git a/doc/LectureNotes/_build/html/linalg.html b/doc/LectureNotes/_build/html/linalg.html
index 7bf6e7fd7..41240cc84 100644
--- a/doc/LectureNotes/_build/html/linalg.html
+++ b/doc/LectureNotes/_build/html/linalg.html
@@ -28,7 +28,7 @@
 
 
 
-    
+    
     
     
     
diff --git a/doc/LectureNotes/_build/html/objects.inv b/doc/LectureNotes/_build/html/objects.inv
index d3198ebc0..a5449a431 100644
Binary files a/doc/LectureNotes/_build/html/objects.inv and b/doc/LectureNotes/_build/html/objects.inv differ
diff --git a/doc/LectureNotes/_build/html/project1.html b/doc/LectureNotes/_build/html/project1.html
index 2c2378fde..cc34e4aa5 100644
--- a/doc/LectureNotes/_build/html/project1.html
+++ b/doc/LectureNotes/_build/html/project1.html
@@ -28,7 +28,7 @@
 
 
 
-    
+    
     
     
     
diff --git a/doc/LectureNotes/_build/html/schedule.html b/doc/LectureNotes/_build/html/schedule.html
index 33022eed6..b44d58fdc 100644
--- a/doc/LectureNotes/_build/html/schedule.html
+++ b/doc/LectureNotes/_build/html/schedule.html
@@ -28,7 +28,7 @@
 
 
 
-    
+    
     
     
     
diff --git a/doc/LectureNotes/_build/html/search.html b/doc/LectureNotes/_build/html/search.html
index 22138888b..f64667d2a 100644
--- a/doc/LectureNotes/_build/html/search.html
+++ b/doc/LectureNotes/_build/html/search.html
@@ -26,7 +26,7 @@
 
 
 
-    
+    
     
     
     
diff --git a/doc/LectureNotes/_build/html/searchindex.js b/doc/LectureNotes/_build/html/searchindex.js
index 09eb41c3e..c8a1266dc 100644
--- a/doc/LectureNotes/_build/html/searchindex.js
+++ b/doc/LectureNotes/_build/html/searchindex.js
@@ -1 +1 @@
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"algorithms-and-codes-for-adagrad-rmsprop-and-adam"]], "Algorithms for Setting up Decision Trees": [[9, "algorithms-for-setting-up-decision-trees"]], "An Overview of Ensemble Methods": [[10, "an-overview-of-ensemble-methods"]], "An extrapolation example": [[4, "an-extrapolation-example"]], "An optimization/minimization problem": [[28, "an-optimization-minimization-problem"]], "And finally  \\boldsymbol{X}\\boldsymbol{X}^T": [[29, "and-finally-boldsymbol-x-boldsymbol-x-t"]], "And finally ADAM": [[31, "and-finally-adam"]], "And what about using neural networks?": [[28, "and-what-about-using-neural-networks"]], "Another Example, now with a polynomial fit": [[30, "another-example-now-with-a-polynomial-fit"]], "Another example, the moons again": [[9, "another-example-the-moons-again"]], "Applied Data Analysis and Machine Learning": [[21, null]], "Autocorrelation function": [[25, "autocorrelation-function"]], "Automatic differentiation": [[13, "automatic-differentiation"]], "Back to Ridge and LASSO Regression": [[29, "back-to-ridge-and-lasso-regression"], [30, "back-to-ridge-and-lasso-regression"]], "Back to the Cancer Data": [[11, "back-to-the-cancer-data"]], "Background literature": [[23, "background-literature"]], "Bagging": [[10, "bagging"]], "Bagging Examples": [[10, "bagging-examples"]], "Basic Matrix Features": [[22, "basic-matrix-features"]], "Basic ideas of the Principal Component Analysis (PCA)": [[11, null]], "Basic math of the SVD": [[5, "basic-math-of-the-svd"], [29, "basic-math-of-the-svd"], [30, "basic-math-of-the-svd"]], "Basics": [[7, "basics"]], "Basics of a tree": [[9, "basics-of-a-tree"]], "Batch Normalization": [[1, "batch-normalization"]], "Batches and mini-batches": [[31, "batches-and-mini-batches"]], "Bayes\u2019 Theorem and Ridge and Lasso Regression": [[5, "bayes-theorem-and-ridge-and-lasso-regression"]], "Boosting, a Bird\u2019s Eye View": [[10, "boosting-a-bird-s-eye-view"]], "Bootstrap": [[6, "bootstrap"]], "Bringing it together, first back propagation equation": [[12, "bringing-it-together-first-back-propagation-equation"]], "Building a Feed Forward Neural Network": [[1, null]], "Building a tree, regression": [[9, "building-a-tree-regression"]], "Building neural networks in Tensorflow and Keras": [[1, "building-neural-networks-in-tensorflow-and-keras"]], "But none of these can compete with Newton\u2019s method": [[31, "but-none-of-these-can-compete-with-newton-s-method"]], "CNNs in more detail, building convolutional neural networks in Tensorflow and Keras": [[3, "cnns-in-more-detail-building-convolutional-neural-networks-in-tensorflow-and-keras"]], "Cancer Data again now with Decision Trees and other Methods": [[9, "cancer-data-again-now-with-decision-trees-and-other-methods"]], "Challenge: Choosing a Fixed Learning Rate": [[31, "challenge-choosing-a-fixed-learning-rate"]], "Choose cost function and optimizer": [[1, "choose-cost-function-and-optimizer"]], "Classical PCA Theorem": [[11, "classical-pca-theorem"]], "Clustering and Unsupervised Learning": [[14, null]], "Code for SVD and Inversion of Matrices": [[5, "code-for-svd-and-inversion-of-matrices"]], "Code with a Number of Minibatches which varies": [[31, "code-with-a-number-of-minibatches-which-varies"]], "Codes and Approaches": [[14, "codes-and-approaches"]], "Codes for the SVD": [[5, "codes-for-the-svd"], [29, "codes-for-the-svd"], [30, "codes-for-the-svd"]], "Coding Setup and Linear Regression": [[15, "coding-setup-and-linear-regression"]], "Collect and pre-process data": [[1, "collect-and-pre-process-data"]], "Communication channels": [[28, "communication-channels"]], "Compare  Bagging on Trees with Random Forests": [[10, "compare-bagging-on-trees-with-random-forests"]], "Comparing with a numerical scheme": [[2, "comparing-with-a-numerical-scheme"]], "Comparison with OLS": [[30, "comparison-with-ols"]], "Computation of gradients": [[31, "computation-of-gradients"]], "Computing the Gini index": [[9, "computing-the-gini-index"]], "Conditions on convex functions": [[30, "conditions-on-convex-functions"]], "Conjugate gradient method": [[13, "conjugate-gradient-method"]], "Convergence rates": [[31, "convergence-rates"]], "Convex function": [[30, "convex-function"]], "Convex functions": [[13, "convex-functions"], [30, "convex-functions"]], "Convolution Examples: Polynomial multiplication": [[3, "convolution-examples-polynomial-multiplication"]], "Convolution Examples: Principle of Superposition and Periodic Forces (Fourier Transforms)": [[3, "convolution-examples-principle-of-superposition-and-periodic-forces-fourier-transforms"]], "Convolutional Neural Network": [[12, "convolutional-neural-network"]], "Convolutional Neural Networks": [[3, null]], "Correlation Function and Design/Feature Matrix": [[29, "correlation-function-and-design-feature-matrix"]], "Correlation Matrix": [[11, "correlation-matrix"], [29, "correlation-matrix"]], "Correlation Matrix with Pandas": [[29, "correlation-matrix-with-pandas"]], "Course Format": [[28, "course-format"]], "Course setting": [[24, null]], "Covariance Matrix Examples": [[29, "covariance-matrix-examples"]], "Covariance and Correlation Matrix": [[29, "covariance-and-correlation-matrix"]], "Cross-validation": [[6, "cross-validation"]], "Deadlines for projects (tentative)": [[28, "deadlines-for-projects-tentative"]], "Decision trees, overarching aims": [[9, null]], "Deep Neural Networks": [[31, "deep-neural-networks"]], "Deep learning methods": [[28, "deep-learning-methods"]], "Define model and architecture": [[1, "define-model-and-architecture"]], "Defining the cost function": [[1, "defining-the-cost-function"]], "Definitions": [[19, "definitions"]], "Deliverables": [[15, "deliverables"], [16, "deliverables"], [19, "deliverables"], [20, "deliverables"]], "Derivation of the AdaGrad Algorithm": [[31, "derivation-of-the-adagrad-algorithm"]], "Derivatives and the chain rule": [[12, "derivatives-and-the-chain-rule"]], "Derivatives, example 1": [[29, "derivatives-example-1"]], "Deriving OLS from a probability distribution": [[5, "deriving-ols-from-a-probability-distribution"]], "Deriving and Implementing Ordinary Least Squares": [[16, "deriving-and-implementing-ordinary-least-squares"]], "Deriving and Implementing Ridge Regression": [[17, "deriving-and-implementing-ridge-regression"]], "Deriving the  Lasso Regression Equations": [[29, "deriving-the-lasso-regression-equations"], [30, "deriving-the-lasso-regression-equations"], [30, "id6"]], "Deriving the  Ridge Regression Equations": [[29, "deriving-the-ridge-regression-equations"], [30, "deriving-the-ridge-regression-equations"], [30, "id3"]], "Deriving the back propagation code for a multilayer perceptron model": [[12, "deriving-the-back-propagation-code-for-a-multilayer-perceptron-model"]], "Developing a code for doing neural networks with back propagation": [[1, "developing-a-code-for-doing-neural-networks-with-back-propagation"]], "Diagonalize the sample covariance matrix to obtain the principal components": [[11, "diagonalize-the-sample-covariance-matrix-to-obtain-the-principal-components"]], "Different kernels and Mercer\u2019s theorem": [[8, "different-kernels-and-mercer-s-theorem"]], "Disadvantages": [[9, "disadvantages"]], "Discriminative Modeling": [[28, "discriminative-modeling"]], "Domains and probabilities": [[25, "domains-and-probabilities"]], "Dropout": [[1, "dropout"]], "Economy-size SVD": [[29, "economy-size-svd"], [30, "economy-size-svd"]], "Elements of Probability Theory and Statistical Data Analysis": [[25, null]], "Empirical Evidence: Convergence Time and Memory in Practice": [[31, "empirical-evidence-convergence-time-and-memory-in-practice"]], "Ensemble Methods: From a Single Tree to Many Trees and Extreme Boosting, Meet the Jungle of Methods": [[10, null]], "Entropy and the ID3 algorithm": [[9, "entropy-and-the-id3-algorithm"]], "Essential elements of ML": [[28, "essential-elements-of-ml"]], "Evaluate model performance on test data": [[1, "evaluate-model-performance-on-test-data"]], "Example 2": [[29, "example-2"]], "Example 3": [[29, "example-3"]], "Example 4": [[29, "example-4"]], "Example Matrix": [[29, "example-matrix"], [30, "example-matrix"]], "Example of discriminative modeling, taken from Generative Deep Learning by David Foster": [[28, "example-of-discriminative-modeling-taken-from-generative-deep-learning-by-david-foster"]], "Example of generative modeling, taken from Generative Deep Learning by David Foster": [[28, "example-of-generative-modeling-taken-from-generative-deep-learning-by-david-foster"]], "Example of own Standard scaling": [[29, "example-of-own-standard-scaling"]], "Example relevant for the exercises": [[29, "example-relevant-for-the-exercises"]], "Example: Exponential decay": [[2, "example-exponential-decay"]], "Example: Population growth": [[2, "example-population-growth"]], "Example: The diffusion equation": [[2, "example-the-diffusion-equation"]], "Example: binary classification problem": [[1, "example-binary-classification-problem"]], "Examples": [[28, "examples"]], "Examples of likelihood functions used in logistic regression and neural networks": [[7, "examples-of-likelihood-functions-used-in-logistic-regression-and-neural-networks"]], "Exercise 1 - Choice of model and degrees of freedom": [[17, "exercise-1-choice-of-model-and-degrees-of-freedom"]], "Exercise 1 - Finding the derivative of Matrix-Vector expressions": [[16, "exercise-1-finding-the-derivative-of-matrix-vector-expressions"]], "Exercise 1 - Github Setup": [[15, "exercise-1-github-setup"]], "Exercise 1, scale your data": [[18, "exercise-1-scale-your-data"]], "Exercise 1: Creating the report document": [[20, "exercise-1-creating-the-report-document"]], "Exercise 1: Expectation values for ordinary least squares expressions": [[19, "exercise-1-expectation-values-for-ordinary-least-squares-expressions"]], "Exercise 1: Setting up various Python environments": [[0, "exercise-1-setting-up-various-python-environments"]], "Exercise 2 - Deriving the expression for OLS": [[16, "exercise-2-deriving-the-expression-for-ols"]], "Exercise 2 - Deriving the expression for Ridge Regression": [[17, "exercise-2-deriving-the-expression-for-ridge-regression"]], "Exercise 2 - Setting up a Github repository": [[15, "exercise-2-setting-up-a-github-repository"]], "Exercise 2, calculate the gradients": [[18, "exercise-2-calculate-the-gradients"]], "Exercise 2: Adding good figures": [[20, "exercise-2-adding-good-figures"]], "Exercise 2: Expectation values for Ridge regression": [[19, "exercise-2-expectation-values-for-ridge-regression"]], "Exercise 2: making your own data and exploring scikit-learn": [[0, "exercise-2-making-your-own-data-and-exploring-scikit-learn"]], "Exercise 3 - Creating feature matrix and implementing OLS using the analytical expression": [[16, "exercise-3-creating-feature-matrix-and-implementing-ols-using-the-analytical-expression"]], "Exercise 3 - Fitting an OLS model to data": [[15, "exercise-3-fitting-an-ols-model-to-data"]], "Exercise 3 - Scaling data": [[17, "exercise-3-scaling-data"]], "Exercise 3 - Setting up a Python virtual environment": [[15, "exercise-3-setting-up-a-python-virtual-environment"]], "Exercise 3, using the analytical formulae for OLS and Ridge regression to find the optimal paramters \\boldsymbol{\\theta}": [[18, "exercise-3-using-the-analytical-formulae-for-ols-and-ridge-regression-to-find-the-optimal-paramters-boldsymbol-theta"]], "Exercise 3: Deriving the expression for the Bias-Variance Trade-off": [[19, "exercise-3-deriving-the-expression-for-the-bias-variance-trade-off"]], "Exercise 3: Normalizing our data": [[0, "exercise-3-normalizing-our-data"]], "Exercise 3: Writing an abstract and introduction": [[20, "exercise-3-writing-an-abstract-and-introduction"]], "Exercise 4 - Fitting a polynomial": [[16, "exercise-4-fitting-a-polynomial"]], "Exercise 4 - Implementing Ridge Regression": [[17, "exercise-4-implementing-ridge-regression"]], "Exercise 4 - Testing multiple hyperparameters": [[17, "exercise-4-testing-multiple-hyperparameters"]], "Exercise 4 - The train-test split": [[15, "exercise-4-the-train-test-split"]], "Exercise 4, Implementing the simplest form for gradient descent": [[18, "exercise-4-implementing-the-simplest-form-for-gradient-descent"]], "Exercise 4: Adding Ridge Regression": [[0, "exercise-4-adding-ridge-regression"]], "Exercise 4: Computing the Bias and Variance": [[19, "exercise-4-computing-the-bias-and-variance"]], "Exercise 4: Making the code avaliable and presentable": [[20, "exercise-4-making-the-code-avaliable-and-presentable"]], "Exercise 5 - Comparing your code with sklearn": [[16, "exercise-5-comparing-your-code-with-sklearn"]], "Exercise 5, Ridge regression and a new Synthetic Dataset": [[18, "exercise-5-ridge-regression-and-a-new-synthetic-dataset"]], "Exercise 5: Analytical exercises": [[0, "exercise-5-analytical-exercises"]], "Exercise 5: Interpretation of scaling and metrics": [[19, "exercise-5-interpretation-of-scaling-and-metrics"]], "Exercise 5: Referencing": [[20, "exercise-5-referencing"]], "Exercise:  Cross-validation as resampling techniques, adding more complexity": [[6, "exercise-cross-validation-as-resampling-techniques-adding-more-complexity"]], "Exercise: Analysis of real data": [[6, "exercise-analysis-of-real-data"]], "Exercise: Bias-variance trade-off and resampling techniques": [[6, "exercise-bias-variance-trade-off-and-resampling-techniques"]], "Exercise: Lasso Regression on the Franke function  with resampling": [[6, "exercise-lasso-regression-on-the-franke-function-with-resampling"]], "Exercise: Ordinary Least Square (OLS) on the Franke function": [[6, "exercise-ordinary-least-square-ols-on-the-franke-function"]], "Exercise: Ridge Regression on the Franke function  with resampling": [[6, "exercise-ridge-regression-on-the-franke-function-with-resampling"]], "Exercises": [[0, "exercises"]], "Exercises and Projects": [[6, "exercises-and-projects"]], "Exercises week 34": [[15, null]], "Exercises week 35": [[16, null]], "Exercises week 36": [[17, null]], "Exercises week 37": [[18, null]], "Exercises week 38": [[19, null]], "Exercises week 39": [[20, null]], "Expectation values": [[25, "expectation-values"]], "Extending to more than one variable": [[30, "extending-to-more-than-one-variable"]], "Extremely useful tools, strongly recommended": [[28, "extremely-useful-tools-strongly-recommended"]], "Feed-forward neural networks": [[12, "feed-forward-neural-networks"]], "Feed-forward pass": [[1, "feed-forward-pass"]], "Final back propagating equation": [[12, "final-back-propagating-equation"]], "Fine-tuning neural network hyperparameters": [[1, "fine-tuning-neural-network-hyperparameters"]], "Fitting an Equation of State for Dense Nuclear Matter": [[0, "fitting-an-equation-of-state-for-dense-nuclear-matter"]], "Fixing the singularity": [[29, "fixing-the-singularity"], [30, "fixing-the-singularity"]], "Format for electronic delivery of report and programs": [[23, "format-for-electronic-delivery-of-report-and-programs"]], "Frequently used scaling functions": [[29, "frequently-used-scaling-functions"], [31, "frequently-used-scaling-functions"]], "From OLS to Ridge and Lasso": [[30, "from-ols-to-ridge-and-lasso"]], "From one to many layers, the universal approximation theorem": [[12, "from-one-to-many-layers-the-universal-approximation-theorem"]], "Functionality in Scikit-Learn": [[29, "functionality-in-scikit-learn"], [31, "functionality-in-scikit-learn"]], "Further Dimensionality Remarks": [[3, "further-dimensionality-remarks"]], "Further properties (important for our analyses later)": [[5, "further-properties-important-for-our-analyses-later"], [29, "further-properties-important-for-our-analyses-later"], [30, "further-properties-important-for-our-analyses-later"]], "Gaussian Elimination": [[22, "gaussian-elimination"]], "General Features": [[9, "general-features"]], "General linear models and linear algebra": [[28, "general-linear-models-and-linear-algebra"]], "Generalizing the fitting procedure as a linear algebra problem": [[28, "generalizing-the-fitting-procedure-as-a-linear-algebra-problem"], [28, "id1"]], "Generative Adversarial Networks": [[4, "generative-adversarial-networks"]], "Generative Models": [[4, "generative-models"]], "Generative Versus Discriminative Modeling": [[28, "generative-versus-discriminative-modeling"]], "Geometric Interpretation and link with Singular Value Decomposition": [[11, "geometric-interpretation-and-link-with-singular-value-decomposition"]], "Getting started with project 1": [[20, "getting-started-with-project-1"]], "Gradient Boosting, Classification Example": [[10, "gradient-boosting-classification-example"]], "Gradient Boosting, Examples of Regression": [[10, "gradient-boosting-examples-of-regression"]], "Gradient Clipping": [[1, "gradient-clipping"]], "Gradient Descent Example": [[30, "id1"], [31, "id1"]], "Gradient boosting: Basics with Steepest Descent/Functional Gradient Descent": [[10, "gradient-boosting-basics-with-steepest-descent-functional-gradient-descent"]], "Gradient descent": [[2, "gradient-descent"]], "Gradient descent and Ridge": [[30, "gradient-descent-and-ridge"], [31, "gradient-descent-and-ridge"]], "Gradient descent and revisiting Ordinary Least Squares from last week": [[31, "gradient-descent-and-revisiting-ordinary-least-squares-from-last-week"]], "Gradient descent example": [[30, "gradient-descent-example"], [31, "gradient-descent-example"]], "Grading": [[26, "grading"], [26, "id2"], [28, "grading"]], "How to take derivatives of Matrix-Vector expressions": [[16, "how-to-take-derivatives-of-matrix-vector-expressions"]], "Hyperplanes and all that": [[8, "hyperplanes-and-all-that"]], "Important Matrix and vector handling packages": [[22, "important-matrix-and-vector-handling-packages"]], "Important technicalities: More on Rescaling data": [[29, "important-technicalities-more-on-rescaling-data"]], "Improving gradient descent with momentum": [[31, "improving-gradient-descent-with-momentum"]], "Improving performance": [[1, "improving-performance"]], "In summary": [[26, "in-summary"]], "Including Stochastic Gradient Descent with Autograd": [[13, "including-stochastic-gradient-descent-with-autograd"], [31, "including-stochastic-gradient-descent-with-autograd"]], "Incremental PCA": [[11, "incremental-pca"]], "Installing R, C++, cython or Julia": [[28, "installing-r-c-cython-or-julia"]], "Installing R, C++, cython, Numba etc": [[28, "installing-r-c-cython-numba-etc"]], "Instructor information": [[26, "instructor-information"]], "Interpretations and optimizing our parameters": [[28, "interpretations-and-optimizing-our-parameters"], [28, "id2"], [28, "id3"], [29, "interpretations-and-optimizing-our-parameters"], [29, "id1"], [29, "id2"]], "Interpreting the Ridge results": [[29, "interpreting-the-ridge-results"], [30, "interpreting-the-ridge-results"], [30, "id4"]], "Introducing JAX": [[13, "introducing-jax"]], "Introducing the Covariance and Correlation functions": [[11, "introducing-the-covariance-and-correlation-functions"], [29, "introducing-the-covariance-and-correlation-functions"]], "Introduction": [[0, "introduction"], [6, "introduction"], [21, "introduction"], [22, "introduction"]], "Introduction to numerical projects": [[23, "introduction-to-numerical-projects"]], "Iterative Fitting, Classification and AdaBoost": [[10, "iterative-fitting-classification-and-adaboost"]], "Iterative Fitting, Regression and Squared-error Cost Function": [[10, "iterative-fitting-regression-and-squared-error-cost-function"]], "Kernel PCA": [[11, "kernel-pca"]], "Kernels and non-linearity": [[8, "kernels-and-non-linearity"]], "LU Decomposition, the inverse of a matrix": [[22, "lu-decomposition-the-inverse-of-a-matrix"]], "Lasso Regression": [[30, "lasso-regression"]], "Lasso case": [[30, "lasso-case"]], "Layers": [[1, "layers"]], "Layers used to build CNNs": [[3, "layers-used-to-build-cnns"]], "Learning goals": [[15, "learning-goals"], [16, "learning-goals"], [17, "learning-goals"], [18, "learning-goals"], [19, "learning-goals"], [20, "learning-goals"]], "Learning outcomes": [[21, "learning-outcomes"], [28, "learning-outcomes"]], "Lectures and ComputerLab": [[28, "lectures-and-computerlab"]], "Limitations of supervised learning with deep networks": [[1, "limitations-of-supervised-learning-with-deep-networks"]], "Linear Algebra, Handling of Arrays and more Python Features": [[22, null]], "Linear Regression": [[0, null]], "Linear Regression Problems": [[29, "linear-regression-problems"], [30, "linear-regression-problems"]], "Linear Regression and  the SVD": [[30, "linear-regression-and-the-svd"]], "Linear Regression, basic elements": [[0, "linear-regression-basic-elements"]], "Linking Bayes\u2019 Theorem with Ridge and Lasso Regression": [[5, "linking-bayes-theorem-with-ridge-and-lasso-regression"]], "Linking the regression analysis with a statistical interpretation": [[5, "linking-the-regression-analysis-with-a-statistical-interpretation"]], "Linking with the SVD": [[5, "linking-with-the-svd"], [29, "linking-with-the-svd"]], "Links to relevant courses at the University of Oslo": [[27, "links-to-relevant-courses-at-the-university-of-oslo"]], "Logistic Regression": [[7, null], [7, "id1"]], "MNIST and GANs": [[4, "mnist-and-gans"]], "Machine Learning": [[28, "machine-learning"]], "Machine learning": [[21, "machine-learning"]], "Main textbooks": [[28, "main-textbooks"]], "Making a tree": [[9, "making-a-tree"]], "Making your own Bootstrap: Changing the Level of the Decision Tree": [[10, "making-your-own-bootstrap-changing-the-level-of-the-decision-tree"]], "Making your own test-train splitting": [[29, "making-your-own-test-train-splitting"]], "Material for exercises week 35": [[29, "material-for-exercises-week-35"]], "Material for lab sessions  sessions Tuesday and Wednesday": [[30, "material-for-lab-sessions-sessions-tuesday-and-wednesday"]], "Material for lecture Monday September 2": [[30, "material-for-lecture-monday-september-2"]], "Material for lecture Monday September 8": [[31, "material-for-lecture-monday-september-8"]], "Material for the lab sessions": [[31, "material-for-the-lab-sessions"]], "Mathematical Interpretation of Ordinary Least Squares": [[5, "mathematical-interpretation-of-ordinary-least-squares"], [29, "mathematical-interpretation-of-ordinary-least-squares"], [30, "mathematical-interpretation-of-ordinary-least-squares"]], "Mathematical optimization of convex functions": [[8, "mathematical-optimization-of-convex-functions"]], "Mathematics of CNNs": [[3, "mathematics-of-cnns"]], "Mathematics of the SVD and implications": [[5, "mathematics-of-the-svd-and-implications"], [29, "mathematics-of-the-svd-and-implications"], [30, "mathematics-of-the-svd-and-implications"]], "Matrices in Python": [[28, "matrices-in-python"]], "Matrix  multiplication": [[1, "matrix-multiplication"]], "Matrix-vector notation  and activation": [[12, "matrix-vector-notation-and-activation"]], "Meet the  covariance!": [[25, "meet-the-covariance"]], "Meet the Covariance Matrix": [[5, "meet-the-covariance-matrix"], [29, "meet-the-covariance-matrix"]], "Meet the Hessian Matrix": [[29, "meet-the-hessian-matrix"]], "Meet the Pandas": [[28, "meet-the-pandas"]], "Memory Usage and Scalability": [[31, "memory-usage-and-scalability"]], "Memory constraints": [[31, "memory-constraints"]], "Min-Max Scaling": [[29, "min-max-scaling"]], "Momentum based GD": [[13, "momentum-based-gd"], [31, "momentum-based-gd"]], "More complicated Example: The Ising model": [[6, "more-complicated-example-the-ising-model"]], "More interpretations": [[29, "more-interpretations"], [30, "more-interpretations"], [30, "id5"]], "More on Dimensionalities": [[3, "more-on-dimensionalities"]], "More on Rescaling data": [[6, "more-on-rescaling-data"]], "More on Steepest descent": [[30, "more-on-steepest-descent"]], "More on convex functions": [[30, "more-on-convex-functions"]], "More preprocessing": [[29, "more-preprocessing"], [31, "more-preprocessing"]], "Motivation for Adaptive Step Sizes": [[31, "motivation-for-adaptive-step-sizes"]], "Multilayer perceptrons": [[12, "multilayer-perceptrons"]], "Network requirements": [[2, "network-requirements"]], "Neural Networks vs CNNs": [[3, "neural-networks-vs-cnns"]], "Neural networks": [[12, null]], "Non-Convex Problems": [[31, "non-convex-problems"]], "Note about SVD Calculations": [[29, "note-about-svd-calculations"], [30, "note-about-svd-calculations"]], "Note on Scikit-Learn": [[30, "note-on-scikit-learn"]], "Numerical experiments and the covariance, central limit theorem": [[25, "numerical-experiments-and-the-covariance-central-limit-theorem"]], "Numpy and arrays": [[22, "numpy-and-arrays"], [28, "numpy-and-arrays"]], "Numpy examples and Important Matrix and vector handling packages": [[28, "numpy-examples-and-important-matrix-and-vector-handling-packages"]], "Optimization and gradient descent, the central part of any Machine Learning algortithm": [[30, "optimization-and-gradient-descent-the-central-part-of-any-machine-learning-algortithm"]], "Optimization, the central part of any Machine Learning algortithm": [[13, null]], "Optimizing our parameters": [[28, "optimizing-our-parameters"]], "Optimizing our parameters, more details": [[28, "optimizing-our-parameters-more-details"]], "Optimizing the cost function": [[1, "optimizing-the-cost-function"]], "Organizing our data": [[0, "organizing-our-data"], [28, "organizing-our-data"]], "Other Matrix and Vector Operations": [[22, "other-matrix-and-vector-operations"]], "Other Types of Recurrent Neural Networks": [[4, "other-types-of-recurrent-neural-networks"]], "Other courses on Data science and Machine Learning  at UiO": [[28, "other-courses-on-data-science-and-machine-learning-at-uio"]], "Other courses on Data science and Machine Learning  at UiO, contn": [[28, "other-courses-on-data-science-and-machine-learning-at-uio-contn"]], "Other popular texts": [[28, "other-popular-texts"]], "Other techniques": [[11, "other-techniques"]], "Other types of networks": [[12, "other-types-of-networks"]], "Other ways of visualizing the trees": [[9, "other-ways-of-visualizing-the-trees"]], "Our model for the nuclear binding energies": [[28, "our-model-for-the-nuclear-binding-energies"]], "Overview of first week": [[28, "overview-of-first-week"]], "Overview video on Stochastic Gradient Descent (SGD)": [[31, "overview-video-on-stochastic-gradient-descent-sgd"]], "Own code for Ordinary Least Squares": [[28, "own-code-for-ordinary-least-squares"], [29, "own-code-for-ordinary-least-squares"]], "PCA and scikit-learn": [[11, "pca-and-scikit-learn"]], "Pandas AI": [[28, "pandas-ai"]], "Part a : Ordinary Least Square (OLS) for the Runge function": [[23, "part-a-ordinary-least-square-ols-for-the-runge-function"]], "Part b: Adding Ridge regression for  the Runge  function": [[23, "part-b-adding-ridge-regression-for-the-runge-function"]], "Part c: Writing your own gradient descent code": [[23, "part-c-writing-your-own-gradient-descent-code"]], "Part d: Including momentum and more advanced ways to update the learning the rate": [[23, "part-d-including-momentum-and-more-advanced-ways-to-update-the-learning-the-rate"]], "Part e: Writing our own code for Lasso regression": [[23, "part-e-writing-our-own-code-for-lasso-regression"]], "Part f: Stochastic gradient descent": [[23, "part-f-stochastic-gradient-descent"]], "Part g: Bias-variance trade-off and resampling techniques": [[23, "part-g-bias-variance-trade-off-and-resampling-techniques"]], "Part h):  Cross-validation as resampling techniques, adding more complexity": [[23, "part-h-cross-validation-as-resampling-techniques-adding-more-complexity"]], "Partial Differential Equations": [[2, "partial-differential-equations"]], "Plans for week 35": [[29, "plans-for-week-35"]], "Plans for week 36": [[30, "plans-for-week-36"]], "Plans for week 37, lecture Monday": [[31, "plans-for-week-37-lecture-monday"]], "Practical tips": [[13, "practical-tips"], [31, "practical-tips"]], "Practicalities": [[26, "practicalities"], [26, "id1"]], "Preamble: Note on writing reports, using reference material, AI and other tools": [[23, "preamble-note-on-writing-reports-using-reference-material-ai-and-other-tools"]], "Predicting New Points With A Trained Recurrent Neural Network": [[4, "predicting-new-points-with-a-trained-recurrent-neural-network"]], "Preprocessing our data": [[29, "preprocessing-our-data"]], "Prerequisites": [[28, "prerequisites"]], "Prerequisites and background": [[21, "prerequisites-and-background"]], "Prerequisites: Collect and pre-process data": [[3, "prerequisites-collect-and-pre-process-data"]], "Probability Distribution Functions": [[25, "probability-distribution-functions"]], "Program example for gradient descent with Ridge Regression": [[30, "program-example-for-gradient-descent-with-ridge-regression"], [31, "program-example-for-gradient-descent-with-ridge-regression"]], "Program for stochastic gradient": [[13, "program-for-stochastic-gradient"]], "Project 1 on Machine Learning, deadline October 6 (midnight), 2025": [[23, null]], "Properties of PDFs": [[25, "properties-of-pdfs"]], "Pros and cons": [[31, "pros-and-cons"]], "Pros and cons of trees, pros": [[9, "pros-and-cons-of-trees-pros"]], "Python installers": [[21, "python-installers"], [28, "python-installers"]], "RMS prop": [[13, "rms-prop"]], "RMSProp algorithm, taken from Goodfellow et al": [[31, "rmsprop-algorithm-taken-from-goodfellow-et-al"]], "RMSProp: Adaptive Learning Rates": [[31, "rmsprop-adaptive-learning-rates"]], "RMSprop for adaptive learning rate with Stochastic Gradient Descent": [[31, "rmsprop-for-adaptive-learning-rate-with-stochastic-gradient-descent"]], "Random Numbers": [[25, "random-numbers"]], "Random forests": [[10, "random-forests"]], "Randomized PCA": [[11, "randomized-pca"]], "Reading material": [[28, "reading-material"]], "Reading recommendations:": [[29, "reading-recommendations"]], "Reading suggestions week 34": [[28, "reading-suggestions-week-34"]], "Readings and Videos:": [[31, "readings-and-videos"]], "Recurrent neural networks": [[12, "recurrent-neural-networks"]], "Recurrent neural networks: Overarching view": [[4, null]], "Reducing the number of degrees of freedom, overarching view": [[0, "reducing-the-number-of-degrees-of-freedom-overarching-view"], [29, "reducing-the-number-of-degrees-of-freedom-overarching-view"]], "Reformulating the problem": [[2, "reformulating-the-problem"]], "Regression Case": [[10, "regression-case"]], "Regression analysis and resampling methods": [[23, "regression-analysis-and-resampling-methods"]], "Regression analysis, overarching aims": [[28, "regression-analysis-overarching-aims"]], "Regression analysis, overarching aims II": [[28, "regression-analysis-overarching-aims-ii"]], "Regularization": [[1, "regularization"]], "Reminder from last week": [[29, "reminder-from-last-week"]], "Reminder on Newton-Raphson\u2019s method": [[30, "reminder-on-newton-raphson-s-method"]], "Reminder on Statistics": [[6, "reminder-on-statistics"]], "Reminder on different scaling methods": [[31, "reminder-on-different-scaling-methods"]], "Replace or not": [[13, "replace-or-not"], [31, "replace-or-not"]], "Required Technologies": [[21, "required-technologies"]], "Resampling Methods": [[6, null]], "Resampling and the Bias-Variance Trade-off": [[19, "resampling-and-the-bias-variance-trade-off"]], "Resampling methods": [[6, "id1"]], "Residual Error": [[29, "residual-error"], [30, "residual-error"]], "Resources on differential equations and deep learning": [[2, "resources-on-differential-equations-and-deep-learning"]], "Revisiting Ordinary Least Squares": [[30, "revisiting-ordinary-least-squares"]], "Revisiting our Linear Regression Solvers": [[13, "revisiting-our-linear-regression-solvers"]], "Rewriting the Covariance and/or Correlation Matrix": [[29, "rewriting-the-covariance-and-or-correlation-matrix"]], "Rewriting the fitting procedure as a linear algebra problem": [[28, "rewriting-the-fitting-procedure-as-a-linear-algebra-problem"]], "Rewriting the fitting procedure as a linear algebra problem, more details": [[28, "rewriting-the-fitting-procedure-as-a-linear-algebra-problem-more-details"]], "Ridge Regression": [[30, "ridge-regression"]], "Ridge and LASSO Regression": [[29, "ridge-and-lasso-regression"], [30, "ridge-and-lasso-regression"], [30, "id2"]], "Ridge and Lasso Regression": [[5, null], [5, "id1"]], "SGD example": [[31, "sgd-example"]], "SGD vs Full-Batch GD: Convergence Speed and Memory Comparison": [[31, "sgd-vs-full-batch-gd-convergence-speed-and-memory-comparison"]], "SVD analysis": 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"adam-optimizer"], [73, "id2"]], "API": [[27, "api"]], "About the IPython Development Team": [[20, "about-the-ipython-development-team"]], "Accuracy": [[73, "accuracy"]], "Activation functions": [[54, "activation-functions"]], "AdaGrad Properties": [[73, "adagrad-properties"]], "AdaGrad Update Rule Derivation": [[73, "adagrad-update-rule-derivation"]], "AdaGrad algorithm, taken from Goodfellow et al": [[73, "adagrad-algorithm-taken-from-goodfellow-et-al"]], "Adam Optimizer": [[73, "adam-optimizer"]], "Adam vs. AdaGrad and RMSProp": [[73, "adam-vs-adagrad-and-rmsprop"]], "Adam: Bias Correction": [[73, "adam-bias-correction"]], "Adam: Exponential Moving Averages (Moments)": [[73, "adam-exponential-moving-averages-moments"]], "Adam: Update Rule Derivation": [[73, "adam-update-rule-derivation"]], "Adaptive boosting: AdaBoost, Basic Algorithm": [[52, "adaptive-boosting-adaboost-basic-algorithm"]], "Adaptivity Across Dimensions": [[73, "adaptivity-across-dimensions"]], "Adding error analysis 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method": [[55, "conjugate-gradient-method"]], "Content with notebooks": [[24, null]], "Contributors": [[31, "contributors"]], "Convergence rates": [[73, "convergence-rates"]], "Convex function": [[72, "convex-function"]], "Convex functions": [[55, "convex-functions"], [72, "convex-functions"]], "Convolution Examples: Polynomial multiplication": [[45, "convolution-examples-polynomial-multiplication"]], "Convolution Examples: Principle of Superposition and Periodic Forces (Fourier Transforms)": [[45, "convolution-examples-principle-of-superposition-and-periodic-forces-fourier-transforms"]], "Convolutional Neural Network": [[54, "convolutional-neural-network"]], "Convolutional Neural Networks": [[45, null]], "Correlation Function and Design/Feature Matrix": [[71, "correlation-function-and-design-feature-matrix"]], "Correlation Matrix": [[53, "correlation-matrix"], [71, "correlation-matrix"]], "Correlation Matrix with Pandas": [[71, "correlation-matrix-with-pandas"]], "Course Format": 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networks with back propagation": [[43, "developing-a-code-for-doing-neural-networks-with-back-propagation"]], "Diagonalize the sample covariance matrix to obtain the principal components": [[53, "diagonalize-the-sample-covariance-matrix-to-obtain-the-principal-components"]], "Different kernels and Mercer\u2019s theorem": [[50, "different-kernels-and-mercer-s-theorem"]], "Disadvantages": [[51, "disadvantages"]], "Discriminative Modeling": [[70, "discriminative-modeling"]], "Domains and probabilities": [[67, "domains-and-probabilities"]], "Dropout": [[43, "dropout"]], "Economy-size SVD": [[71, "economy-size-svd"], [72, "economy-size-svd"]], "Elements of Probability Theory and Statistical Data Analysis": [[67, null]], "Empirical Evidence: Convergence Time and Memory in Practice": [[73, "empirical-evidence-convergence-time-and-memory-in-practice"]], "Ensemble Methods: From a Single Tree to Many Trees and Extreme Boosting, Meet the Jungle of Methods": [[52, null]], "Entropy and the ID3 algorithm": [[51, "entropy-and-the-id3-algorithm"]], "Essential elements of ML": [[70, "essential-elements-of-ml"]], "Evaluate model performance on test data": [[43, "evaluate-model-performance-on-test-data"]], "Example": [[27, "example"]], "Example 2": [[71, "example-2"]], "Example 3": [[71, "example-3"]], "Example 4": [[71, "example-4"]], "Example Matrix": [[71, "example-matrix"], [72, "example-matrix"]], "Example of discriminative modeling, taken from Generative Deep Learning by David Foster": [[70, "example-of-discriminative-modeling-taken-from-generative-deep-learning-by-david-foster"]], "Example of generative modeling, taken from Generative Deep Learning by David Foster": [[70, "example-of-generative-modeling-taken-from-generative-deep-learning-by-david-foster"]], "Example of own Standard scaling": [[71, "example-of-own-standard-scaling"]], "Example relevant for the exercises": [[71, "example-relevant-for-the-exercises"]], "Example: Exponential decay": [[44, "example-exponential-decay"]], "Example: Population growth": [[44, "example-population-growth"]], "Example: The diffusion equation": [[44, "example-the-diffusion-equation"]], "Example: binary classification problem": [[43, "example-binary-classification-problem"]], "Examples": [[70, "examples"]], "Examples of likelihood functions used in logistic regression and neural networks": [[49, "examples-of-likelihood-functions-used-in-logistic-regression-and-neural-networks"]], "Exercise 1 - Choice of model and degrees of freedom": [[59, "exercise-1-choice-of-model-and-degrees-of-freedom"]], "Exercise 1 - Finding the derivative of Matrix-Vector expressions": [[58, "exercise-1-finding-the-derivative-of-matrix-vector-expressions"]], "Exercise 1 - Github Setup": [[57, "exercise-1-github-setup"]], "Exercise 1, scale your data": [[60, "exercise-1-scale-your-data"]], "Exercise 1: Creating the report document": [[62, "exercise-1-creating-the-report-document"]], "Exercise 1: Expectation values for ordinary least squares expressions": [[61, "exercise-1-expectation-values-for-ordinary-least-squares-expressions"]], "Exercise 1: Setting up various Python environments": [[42, "exercise-1-setting-up-various-python-environments"]], "Exercise 2 - Deriving the expression for OLS": [[58, "exercise-2-deriving-the-expression-for-ols"]], "Exercise 2 - Deriving the expression for Ridge Regression": [[59, "exercise-2-deriving-the-expression-for-ridge-regression"]], "Exercise 2 - Setting up a Github repository": [[57, "exercise-2-setting-up-a-github-repository"]], "Exercise 2, calculate the gradients": [[60, "exercise-2-calculate-the-gradients"]], "Exercise 2: Adding good figures": [[62, "exercise-2-adding-good-figures"]], "Exercise 2: Expectation values for Ridge regression": [[61, "exercise-2-expectation-values-for-ridge-regression"]], "Exercise 2: making your own data and exploring scikit-learn": [[42, "exercise-2-making-your-own-data-and-exploring-scikit-learn"]], "Exercise 3 - Creating feature matrix and implementing OLS using the analytical expression": [[58, "exercise-3-creating-feature-matrix-and-implementing-ols-using-the-analytical-expression"]], "Exercise 3 - Fitting an OLS model to data": [[57, "exercise-3-fitting-an-ols-model-to-data"]], "Exercise 3 - Scaling data": [[59, "exercise-3-scaling-data"]], "Exercise 3 - Setting up a Python virtual environment": [[57, "exercise-3-setting-up-a-python-virtual-environment"]], "Exercise 3, using the analytical formulae for OLS and Ridge regression to find the optimal paramters \\boldsymbol{\\theta}": [[60, "exercise-3-using-the-analytical-formulae-for-ols-and-ridge-regression-to-find-the-optimal-paramters-boldsymbol-theta"]], "Exercise 3: Deriving the expression for the Bias-Variance Trade-off": [[61, "exercise-3-deriving-the-expression-for-the-bias-variance-trade-off"]], "Exercise 3: Normalizing our data": [[42, "exercise-3-normalizing-our-data"]], "Exercise 3: Writing an abstract and introduction": [[62, "exercise-3-writing-an-abstract-and-introduction"]], "Exercise 4 - Fitting a polynomial": [[58, "exercise-4-fitting-a-polynomial"]], "Exercise 4 - Implementing Ridge Regression": [[59, "exercise-4-implementing-ridge-regression"]], "Exercise 4 - Testing multiple hyperparameters": [[59, "exercise-4-testing-multiple-hyperparameters"]], "Exercise 4 - The train-test split": [[57, "exercise-4-the-train-test-split"]], "Exercise 4, Implementing the simplest form for gradient descent": [[60, "exercise-4-implementing-the-simplest-form-for-gradient-descent"]], "Exercise 4: Adding Ridge Regression": [[42, "exercise-4-adding-ridge-regression"]], "Exercise 4: Computing the Bias and Variance": [[61, "exercise-4-computing-the-bias-and-variance"]], "Exercise 4: Making the code available and presentable": [[62, "exercise-4-making-the-code-available-and-presentable"]], "Exercise 5 - Comparing your code with sklearn": [[58, "exercise-5-comparing-your-code-with-sklearn"]], "Exercise 5, Ridge regression and a new Synthetic Dataset": [[60, "exercise-5-ridge-regression-and-a-new-synthetic-dataset"]], "Exercise 5: Analytical exercises": [[42, "exercise-5-analytical-exercises"]], "Exercise 5: Interpretation of scaling and metrics": [[61, "exercise-5-interpretation-of-scaling-and-metrics"]], "Exercise 5: Referencing": [[62, "exercise-5-referencing"]], "Exercise:  Cross-validation as resampling techniques, adding more complexity": [[48, "exercise-cross-validation-as-resampling-techniques-adding-more-complexity"]], "Exercise: Analysis of real data": [[48, "exercise-analysis-of-real-data"]], "Exercise: Bias-variance trade-off and resampling techniques": [[48, "exercise-bias-variance-trade-off-and-resampling-techniques"]], "Exercise: Lasso Regression on the Franke function  with resampling": [[48, "exercise-lasso-regression-on-the-franke-function-with-resampling"]], "Exercise: Ordinary Least Square (OLS) on the Franke function": [[48, "exercise-ordinary-least-square-ols-on-the-franke-function"]], "Exercise: Ridge Regression on the Franke function  with resampling": [[48, "exercise-ridge-regression-on-the-franke-function-with-resampling"]], "Exercises": [[42, "exercises"]], "Exercises and Projects": [[48, "exercises-and-projects"]], "Exercises week 34": [[57, null]], "Exercises week 35": [[58, null]], "Exercises week 36": [[59, null]], "Exercises week 37": [[60, null]], "Exercises week 38": [[61, null]], "Exercises week 39": [[62, null]], "Expectation values": [[67, "expectation-values"]], "Extending to more than one variable": [[72, "extending-to-more-than-one-variable"]], "Extremely useful tools, strongly recommended": [[70, "extremely-useful-tools-strongly-recommended"]], "FAQ": [[29, "faq"]], "Features": [[29, "features"]], "Feed-forward neural networks": [[54, "feed-forward-neural-networks"]], "Feed-forward pass": [[43, "feed-forward-pass"]], "Final back propagating equation": [[54, "final-back-propagating-equation"]], "Fine-tuning neural network hyperparameters": [[43, "fine-tuning-neural-network-hyperparameters"]], "Fitting an Equation of State for Dense Nuclear Matter": [[42, "fitting-an-equation-of-state-for-dense-nuclear-matter"]], "Fixing the singularity": [[71, "fixing-the-singularity"], [72, "fixing-the-singularity"]], "Format for electronic delivery of report and programs": [[65, "format-for-electronic-delivery-of-report-and-programs"]], "Frequently used scaling functions": [[71, "frequently-used-scaling-functions"], [73, "frequently-used-scaling-functions"]], "From OLS to Ridge and Lasso": [[72, "from-ols-to-ridge-and-lasso"]], "From one to many layers, the universal approximation theorem": [[54, "from-one-to-many-layers-the-universal-approximation-theorem"]], "Functionality in Scikit-Learn": [[71, "functionality-in-scikit-learn"], [73, "functionality-in-scikit-learn"]], "Further Dimensionality Remarks": [[45, "further-dimensionality-remarks"]], "Further properties (important for our analyses later)": [[47, "further-properties-important-for-our-analyses-later"], [71, "further-properties-important-for-our-analyses-later"], [72, "further-properties-important-for-our-analyses-later"]], "Gaussian Elimination": [[64, "gaussian-elimination"]], "General Features": [[51, "general-features"]], "General linear models and linear algebra": [[70, "general-linear-models-and-linear-algebra"]], "Generalizing the fitting procedure as a linear algebra problem": [[70, "generalizing-the-fitting-procedure-as-a-linear-algebra-problem"], [70, "id1"]], "Generative Adversarial Networks": [[46, "generative-adversarial-networks"]], "Generative Models": [[46, "generative-models"]], "Generative Versus Discriminative Modeling": [[70, "generative-versus-discriminative-modeling"]], "Geometric Interpretation and link with Singular Value Decomposition": [[53, "geometric-interpretation-and-link-with-singular-value-decomposition"]], "Getting started with project 1": [[62, "getting-started-with-project-1"]], "Github Dark": [[6, null]], "Github Dark Colorblind": [[7, null]], "Github Dark High Contrast": [[8, null]], "Github Light": [[9, null]], "Github Light Colorblind": [[10, null]], "Github Light High Contrast": [[11, null]], "Gotthard Dark": [[12, null]], "Gotthard Light": [[13, null]], "Gradient Boosting, Classification Example": [[52, "gradient-boosting-classification-example"]], "Gradient Boosting, Examples of Regression": [[52, "gradient-boosting-examples-of-regression"]], "Gradient Clipping": [[43, "gradient-clipping"]], "Gradient Descent Example": [[72, "id1"], [73, "id1"]], "Gradient boosting: Basics with Steepest Descent/Functional Gradient Descent": [[52, "gradient-boosting-basics-with-steepest-descent-functional-gradient-descent"]], "Gradient descent": [[44, "gradient-descent"]], "Gradient descent and Ridge": [[72, "gradient-descent-and-ridge"], [73, "gradient-descent-and-ridge"]], "Gradient descent and revisiting Ordinary Least Squares from last week": [[73, "gradient-descent-and-revisiting-ordinary-least-squares-from-last-week"]], "Gradient descent example": [[72, "gradient-descent-example"], [73, "gradient-descent-example"]], "Grading": [[68, "grading"], [68, "id2"], [70, "grading"]], "Greative": [[14, null]], "How to take derivatives of Matrix-Vector expressions": [[58, "how-to-take-derivatives-of-matrix-vector-expressions"]], "Hyperplanes and all that": [[50, "hyperplanes-and-all-that"]], "Important Matrix and vector handling packages": [[64, "important-matrix-and-vector-handling-packages"]], "Important technicalities: More on Rescaling data": [[71, "important-technicalities-more-on-rescaling-data"]], "Improving gradient descent with momentum": [[73, "improving-gradient-descent-with-momentum"]], "Improving performance": [[43, "improving-performance"]], "In summary": [[68, "in-summary"]], "Including Stochastic Gradient Descent with Autograd": [[55, "including-stochastic-gradient-descent-with-autograd"], [73, "including-stochastic-gradient-descent-with-autograd"]], "Incremental PCA": [[53, "incremental-pca"]], "Install": [[28, "install"]], "Installation": [[27, "installation"]], "Installing R, C++, cython or Julia": [[70, "installing-r-c-cython-or-julia"]], "Installing R, C++, cython, Numba etc": [[70, "installing-r-c-cython-numba-etc"]], "Instructor information": [[68, "instructor-information"]], "Interpretations and optimizing our parameters": [[70, "interpretations-and-optimizing-our-parameters"], [70, "id2"], [70, "id3"], [71, "interpretations-and-optimizing-our-parameters"], [71, "id1"], [71, "id2"]], "Interpreting the Ridge results": [[71, "interpreting-the-ridge-results"], [72, "interpreting-the-ridge-results"], [72, "id4"]], "Introducing JAX": [[55, "introducing-jax"]], "Introducing the Covariance and Correlation functions": [[53, "introducing-the-covariance-and-correlation-functions"], [71, "introducing-the-covariance-and-correlation-functions"]], "Introduction": [[42, "introduction"], [48, "introduction"], [63, "introduction"], [64, "introduction"]], "Introduction to numerical projects": [[65, "introduction-to-numerical-projects"]], "Iterative Fitting, Classification and AdaBoost": [[52, "iterative-fitting-classification-and-adaboost"]], "Iterative Fitting, Regression and Squared-error Cost Function": [[52, "iterative-fitting-regression-and-squared-error-cost-function"]], "Kernel PCA": [[53, "kernel-pca"]], "Kernels and non-linearity": [[50, "kernels-and-non-linearity"]], "LU Decomposition, the inverse of a matrix": [[64, "lu-decomposition-the-inverse-of-a-matrix"]], "Lasso Regression": [[72, "lasso-regression"]], "Lasso case": [[72, "lasso-case"]], "Layers": [[43, "layers"]], "Layers used to build CNNs": [[45, "layers-used-to-build-cnns"]], "Learn more": [[22, "learn-more"]], "Learning goals": [[57, "learning-goals"], [58, "learning-goals"], [59, "learning-goals"], [60, "learning-goals"], [61, "learning-goals"], [62, "learning-goals"]], "Learning outcomes": [[63, "learning-outcomes"], [70, "learning-outcomes"]], "Lectures and ComputerLab": [[70, "lectures-and-computerlab"]], "License": [[27, "license"], [28, "license"], [29, "license"]], "License for Sphinx": [[35, null]], "Licenses for incorporated software": [[35, "licenses-for-incorporated-software"]], "Limitations of supervised learning with deep networks": [[43, "limitations-of-supervised-learning-with-deep-networks"]], "Linear Algebra, Handling of Arrays and more Python Features": [[64, null]], "Linear Regression": [[42, null]], "Linear Regression Problems": [[71, "linear-regression-problems"], [72, "linear-regression-problems"]], "Linear Regression and  the SVD": [[72, "linear-regression-and-the-svd"]], "Linear Regression, basic elements": [[42, "linear-regression-basic-elements"]], "Linking Bayes\u2019 Theorem with Ridge and Lasso Regression": [[47, "linking-bayes-theorem-with-ridge-and-lasso-regression"]], "Linking the regression analysis with a statistical interpretation": [[47, "linking-the-regression-analysis-with-a-statistical-interpretation"]], "Linking with the SVD": [[47, "linking-with-the-svd"], [71, "linking-with-the-svd"]], "Links to relevant courses at the University of Oslo": [[69, "links-to-relevant-courses-at-the-university-of-oslo"]], "Logistic Regression": [[49, null], [49, "id1"]], "MNIST and GANs": [[46, "mnist-and-gans"]], "Machine Learning": [[70, "machine-learning"]], "Machine learning": [[63, "machine-learning"]], "Main textbooks": [[70, "main-textbooks"]], "Making a tree": [[51, "making-a-tree"]], "Making your own Bootstrap: Changing the Level of the Decision Tree": [[52, "making-your-own-bootstrap-changing-the-level-of-the-decision-tree"]], "Making your own test-train splitting": [[71, "making-your-own-test-train-splitting"]], "Markdown + notebooks": [[24, "markdown-notebooks"]], "Markdown Files": [[22, null]], "Material for exercises week 35": [[71, "material-for-exercises-week-35"]], "Material for lab sessions  sessions Tuesday and Wednesday": [[72, "material-for-lab-sessions-sessions-tuesday-and-wednesday"]], "Material for lecture Monday September 2": [[72, "material-for-lecture-monday-september-2"]], "Material for lecture Monday September 8": [[73, "material-for-lecture-monday-september-8"]], "Material for the lab sessions": [[73, "material-for-the-lab-sessions"]], "Mathematical Interpretation of Ordinary Least Squares": [[47, "mathematical-interpretation-of-ordinary-least-squares"], [71, "mathematical-interpretation-of-ordinary-least-squares"], [72, "mathematical-interpretation-of-ordinary-least-squares"]], "Mathematical optimization of convex functions": [[50, "mathematical-optimization-of-convex-functions"]], "Mathematics of CNNs": [[45, "mathematics-of-cnns"]], "Mathematics of the SVD and implications": [[47, "mathematics-of-the-svd-and-implications"], [71, "mathematics-of-the-svd-and-implications"], [72, "mathematics-of-the-svd-and-implications"]], "Matrices in Python": [[70, "matrices-in-python"]], "Matrix  multiplication": [[43, "matrix-multiplication"]], "Matrix-vector notation  and activation": [[54, "matrix-vector-notation-and-activation"]], "Meet the  covariance!": [[67, "meet-the-covariance"]], "Meet the Covariance Matrix": [[47, "meet-the-covariance-matrix"], [71, "meet-the-covariance-matrix"]], "Meet the Hessian Matrix": [[71, "meet-the-hessian-matrix"]], "Meet the Pandas": [[70, "meet-the-pandas"]], "Memory Usage and Scalability": [[73, "memory-usage-and-scalability"]], "Memory constraints": [[73, "memory-constraints"]], "Min-Max Scaling": [[71, "min-max-scaling"]], "Momentum based GD": [[55, "momentum-based-gd"], [73, "momentum-based-gd"]], "More complicated Example: The Ising model": [[48, "more-complicated-example-the-ising-model"]], "More interpretations": [[71, "more-interpretations"], [72, "more-interpretations"], [72, "id5"]], "More on Dimensionalities": [[45, "more-on-dimensionalities"]], "More on Rescaling data": [[48, "more-on-rescaling-data"]], "More on Steepest descent": [[72, "more-on-steepest-descent"]], "More on convex functions": [[72, "more-on-convex-functions"]], "More preprocessing": [[71, "more-preprocessing"], [73, "more-preprocessing"]], "Motivation for Adaptive Step Sizes": [[73, "motivation-for-adaptive-step-sizes"]], "Multilayer perceptrons": [[54, "multilayer-perceptrons"]], "MyST markdown": [[24, "myst-markdown"]], "Network requirements": [[44, "network-requirements"]], "Neural Networks vs CNNs": [[45, "neural-networks-vs-cnns"]], "Neural networks": [[54, null]], "Non-Convex Problems": [[73, "non-convex-problems"]], "Note about SVD Calculations": [[71, "note-about-svd-calculations"], [72, "note-about-svd-calculations"]], "Note on Scikit-Learn": [[72, "note-on-scikit-learn"]], "Notebooks with MyST Markdown": [[23, null]], "Numerical experiments and the covariance, central limit theorem": [[67, "numerical-experiments-and-the-covariance-central-limit-theorem"]], "Numpy and arrays": [[64, "numpy-and-arrays"], [70, "numpy-and-arrays"]], "Numpy examples and Important Matrix and vector handling packages": [[70, "numpy-examples-and-important-matrix-and-vector-handling-packages"]], "Optimization and gradient descent, the central part of any Machine Learning algortithm": [[72, "optimization-and-gradient-descent-the-central-part-of-any-machine-learning-algortithm"]], "Optimization, the central part of any Machine Learning algortithm": [[55, null]], "Optimizing our parameters": [[70, "optimizing-our-parameters"]], "Optimizing our parameters, more details": [[70, "optimizing-our-parameters-more-details"]], "Optimizing the cost function": [[43, "optimizing-the-cost-function"]], "Organizing our data": [[42, "organizing-our-data"], [70, "organizing-our-data"]], "Other Matrix and Vector Operations": [[64, "other-matrix-and-vector-operations"]], "Other Types of Recurrent Neural Networks": [[46, "other-types-of-recurrent-neural-networks"]], "Other courses on Data science and Machine Learning  at UiO": [[70, "other-courses-on-data-science-and-machine-learning-at-uio"]], "Other courses on Data science and Machine Learning  at UiO, contn": [[70, "other-courses-on-data-science-and-machine-learning-at-uio-contn"]], "Other popular texts": [[70, "other-popular-texts"]], "Other techniques": [[53, "other-techniques"]], "Other types of networks": [[54, "other-types-of-networks"]], "Other ways of visualizing the trees": [[51, "other-ways-of-visualizing-the-trees"]], "Our Copyright Policy": [[20, "our-copyright-policy"]], "Our model for the nuclear binding energies": [[70, "our-model-for-the-nuclear-binding-energies"]], "Overview of first week": [[70, "overview-of-first-week"]], "Overview video on Stochastic Gradient Descent (SGD)": [[73, "overview-video-on-stochastic-gradient-descent-sgd"]], "Own code for Ordinary Least Squares": [[70, "own-code-for-ordinary-least-squares"], [71, "own-code-for-ordinary-least-squares"]], "PCA and scikit-learn": [[53, "pca-and-scikit-learn"]], "Pandas AI": [[70, "pandas-ai"]], "Part a : Ordinary Least Square (OLS) for the Runge function": [[65, "part-a-ordinary-least-square-ols-for-the-runge-function"]], "Part b: Adding Ridge regression for  the Runge  function": [[65, "part-b-adding-ridge-regression-for-the-runge-function"]], "Part c: Writing your own gradient descent code": [[65, "part-c-writing-your-own-gradient-descent-code"]], "Part d: Including momentum and more advanced ways to update the learning the rate": [[65, "part-d-including-momentum-and-more-advanced-ways-to-update-the-learning-the-rate"]], "Part e: Writing our own code for Lasso regression": [[65, "part-e-writing-our-own-code-for-lasso-regression"]], "Part f: Stochastic gradient descent": [[65, "part-f-stochastic-gradient-descent"]], "Part g: Bias-variance trade-off and resampling techniques": [[65, "part-g-bias-variance-trade-off-and-resampling-techniques"]], "Part h):  Cross-validation as resampling techniques, adding more 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"Prerequisites: Collect and pre-process data": [[45, "prerequisites-collect-and-pre-process-data"]], "Probability Distribution Functions": [[67, "probability-distribution-functions"]], "Program example for gradient descent with Ridge Regression": [[72, "program-example-for-gradient-descent-with-ridge-regression"], [73, "program-example-for-gradient-descent-with-ridge-regression"]], "Program for stochastic gradient": [[55, "program-for-stochastic-gradient"]], "Project 1 on Machine Learning, deadline October 6 (midnight), 2025": [[65, null]], "Properties of PDFs": [[67, "properties-of-pdfs"]], "Pros and cons": [[73, "pros-and-cons"]], "Pros and cons of trees, pros": [[51, "pros-and-cons-of-trees-pros"]], "Python installers": [[63, "python-installers"], [70, "python-installers"]], "Quickly add YAML metadata for MyST Notebooks": [[23, "quickly-add-yaml-metadata-for-myst-notebooks"]], "RMS prop": [[55, "rms-prop"]], "RMSProp algorithm, taken from Goodfellow et al": [[73, 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"numpi": [64, 70], "object": 45, "obtain": 53, "octob": [29, 65], "od": 44, "off": [48, 61, 65], "ol": [47, 48, 57, 58, 60, 65, 72], "one": [44, 54, 60, 72], "oper": 64, "optim": [43, 50, 55, 60, 63, 70, 71, 72, 73], "order": [55, 60, 73], "ordinari": [47, 48, 58, 61, 65, 70, 71, 72, 73], "organ": [42, 70], "oslo": 69, "other": [46, 51, 53, 54, 64, 65, 70], "our": [20, 42, 46, 47, 53, 55, 65, 70, 71, 72], "outcom": [63, 70], "output": [24, 44], "overarch": [42, 46, 50, 51, 70, 71], "overview": [52, 70, 73], "own": [42, 52, 53, 65, 70, 71], "packag": [64, 70], "panda": [70, 71], "paramet": [70, 71], "paramt": 60, "part": [55, 63, 65, 72], "partial": 44, "pass": 43, "pca": 53, "pdf": 67, "perceptron": 54, "perform": [43, 51], "period": 45, "perspect": 43, "pitaya": 15, "plan": [71, 72, 73], "plethora": 70, "point": 46, "poisson": 44, "polici": 20, "polynomi": [45, 58, 60, 72], "popul": 44, "popular": 70, "practic": [55, 68, 70, 73], "pre": [43, 45], "preambl": 65, "predict": 46, "preprocess": [71, 73], "prerequisit": [45, 63, 70], "present": 62, "princip": 53, "principl": 45, "pro": [51, 73], "probabl": [47, 67], "problem": [43, 44, 55, 70, 71, 72, 73], "procedur": [51, 70], "process": [43, 45], "program": [44, 55, 65, 72, 73], "project": [48, 62, 65, 68, 70], "prop": 55, "propag": [43, 54], "properti": [47, 67, 71, 72, 73], "python": [42, 51, 57, 63, 64, 70], "quick": 50, "quickli": 23, "r": 70, "random": [52, 53, 67], "raphson": 72, "rate": [65, 73], "read": [51, 70, 71, 73], "real": [48, 70], "recommend": [70, 71], "recurr": [46, 54], "reduc": [42, 71], "reduct": 45, "refer": 65, "referenc": 62, "reformul": 44, "regress": [42, 47, 48, 49, 51, 52, 55, 57, 59, 60, 61, 65, 70, 71, 72, 73], "regular": 43, "relat": [], "relev": [69, 71], "relu": 43, "remark": 45, "remind": [48, 50, 70, 71, 72, 73], "replac": [55, 73], "report": [62, 65], "repositori": 57, "requir": [44, 63], "resampl": [48, 61, 65], "rescal": [48, 71], "residu": [71, 72], "resourc": 44, "result": [71, 72], "revisit": [55, 72, 73], "rewrit": [70, 71], "ridg": [42, 47, 48, 59, 60, 61, 65, 71, 72, 73], "rm": 55, "rmsprop": 73, "role": 22, "rule": [54, 73], "rung": 65, "same": [55, 73], "sampl": [22, 53], "scalabl": 73, "scale": [59, 60, 61, 71, 73], "schedul": 70, "schemat": 51, "scheme": 44, "scienc": 70, "scikit": [42, 43, 53, 70, 71, 72, 73], "second": [55, 60, 73], "semest": 68, "sensit": 72, "septemb": [29, 61, 72, 73], "session": [72, 73], "set": [42, 44, 45, 51, 54, 57, 66, 70, 71, 72], "setup": 57, "sgd": [55, 73], "should": 43, "show": 29, "similar": [55, 73], "simpl": [42, 46, 51, 55, 60, 70, 71, 72, 73], "simplest": 60, "singl": 52, "singular": [47, 53, 71, 72], "size": [71, 72, 73], "sklearn": 58, "slightli": 73, "smoothi": 15, "sneak": 73, "soft": 50, "softmax": 43, "softwar": [35, 65, 70], "solv": [44, 72], "solver": 55, "some": [55, 64, 71, 72], "sourc": 39, "specifi": 44, "speed": 73, "sphinx": 35, "split": [42, 57, 71], "squar": [42, 47, 48, 52, 58, 61, 65, 70, 71, 72, 73], "standard": [55, 71], "start": 62, "state": 42, "statist": [47, 48, 63, 67, 70], "steepest": [52, 55, 72], "step": 73, "stochast": [55, 65, 67, 73], "stop": 73, "strongli": [70, 73], "structur": 39, "suggest": 70, "summari": [68, 70], "superposit": 45, "supervis": 43, "support": 50, "svd": [47, 71, 72], "synthet": 60, "systemat": 45, "t": 71, "take": 58, "taken": [70, 73], "teach": 68, "teacher": [68, 70], "team": 20, "technic": 71, "techniqu": [48, 53, 65], "technologi": 63, "tensorflow": [43, 45], "tent": [68, 70], "term": 20, "test": [42, 43, 57, 59, 71], "texmath": 29, "text": 70, "textbook": [69, 70], "than": 72, "theorem": [47, 50, 53, 54, 67], "theoret": 73, "theori": 67, "theta": 60, "thi": 70, "time": 73, "tip": [55, 73], "todo": 29, "togeth": 54, "tool": [65, 70], "top": 43, "topic": 70, "toward": 53, "trade": [48, 61, 65], "tradeoff": 48, "train": [42, 43, 46, 57, 70, 71], "transform": 45, "translat": 39, "tree": [51, 52], "tuesdai": 72, "tune": 43, "two": [45, 50, 63], "type": [44, 46, 54, 70], "uio": 70, "univers": [54, 69], "unsupervis": 56, "up": [42, 44, 51, 54, 57, 70, 71, 72], "updat": [39, 65, 73], "us": [28, 29, 42, 43, 44, 45, 49, 55, 58, 60, 61, 63, 65, 70, 71, 72, 73], "usag": 73, "v": [45, 73], "valid": [48, 65], "valu": [47, 53, 61, 67, 71, 72], "vari": 73, "variabl": [67, 72], "varianc": [48, 61, 65], "variou": 42, "vector": [50, 54, 58, 64, 70, 71], "versu": 70, "video": 73, "view": [42, 46, 52, 71], "virtual": 57, "visual": [43, 51], "wai": [51, 65], "wave": 44, "we": [70, 73], "wednesdai": 72, "week": [57, 58, 59, 60, 61, 62, 70, 71, 72, 73], "weekli": [], "welcom": 21, "what": [22, 42, 70, 71, 72], "when": 73, "which": [43, 73], "why": [70, 73], "wisconsin": 49, "workflow": 39, "write": [46, 53, 62, 65, 72], "x": 71, "xgboost": 52, "yaml": 23, "yet": 72, "your": [21, 42, 52, 58, 60, 65, 71]}})
\ No newline at end of file
diff --git a/doc/LectureNotes/_build/html/statistics.html b/doc/LectureNotes/_build/html/statistics.html
index 289234ab0..fde886683 100644
--- a/doc/LectureNotes/_build/html/statistics.html
+++ b/doc/LectureNotes/_build/html/statistics.html
@@ -28,7 +28,7 @@
 
 
 
-    
+    
     
     
     
diff --git a/doc/LectureNotes/_build/html/teachers.html b/doc/LectureNotes/_build/html/teachers.html
index 130cc1aaa..05cae5de2 100644
--- a/doc/LectureNotes/_build/html/teachers.html
+++ b/doc/LectureNotes/_build/html/teachers.html
@@ -28,7 +28,7 @@
 
 
 
-    
+    
     
     
     
diff --git a/doc/LectureNotes/_build/html/textbooks.html b/doc/LectureNotes/_build/html/textbooks.html
index b5e25876c..a279e6ce7 100644
--- a/doc/LectureNotes/_build/html/textbooks.html
+++ b/doc/LectureNotes/_build/html/textbooks.html
@@ -28,7 +28,7 @@
 
 
 
-    
+    
     
     
     
diff --git a/doc/LectureNotes/_build/html/week34.html b/doc/LectureNotes/_build/html/week34.html
index 74ac10fa9..ee9688ef7 100644
--- a/doc/LectureNotes/_build/html/week34.html
+++ b/doc/LectureNotes/_build/html/week34.html
@@ -28,7 +28,7 @@
 
 
 
-    
+    
     
     
     
diff --git a/doc/LectureNotes/_build/html/week35.html b/doc/LectureNotes/_build/html/week35.html
index 7a8f02b70..47ca63819 100644
--- a/doc/LectureNotes/_build/html/week35.html
+++ b/doc/LectureNotes/_build/html/week35.html
@@ -28,7 +28,7 @@
 
 
 
-    
+    
     
     
     
@@ -894,7 +894,7 @@ We assume our data can represented by a fourth-order polynomial. For the 
 
    # matrix inversion to find theta
 # First we set up the data
-import numpy as np
+import numpy as np
 x = np.random.rand(100)
 y = 2.0+5*x*x+0.1*np.random.randn(100)
 # and then the design matrix X including the intercept
@@ -928,7 +928,7 @@ We assume our data can represented by a fourth-order polynomial. For the Scikit-Learn here we can define our own \(R2\) function as
    
 
    
 
    
-
    def R2(y_data, y_model):
+
    def R2(y_data, y_model):
     return 1 - np.sum((y_data - y_model) ** 2) / np.sum((y_data - np.mean(y_data)) ** 2)
 
    
 
    
@@ -945,7 +945,7 @@ Since we are not using Scikit-Learn here we can define our own
 
    We can easily add our MSE score as
    
 
    
 
    
-
    def MSE(y_data,y_model):
+
    def MSE(y_data,y_model):
     n = np.size(y_model)
     return np.sum((y_data-y_model)**2)/n
 
@@ -957,7 +957,7 @@ Since we are not using Scikit-Learn here we can define our own
 
    and finally the relative error as
    
 
    
 
    
-
    def RelativeError(y_data,y_model):
+
    def RelativeError(y_data,y_model):
     return abs((y_data-y_model)/y_data)
 print(RelativeError(y, ytilde))
 
    
@@ -984,16 +984,16 @@ but now splitting the data into a training set and a test set.
    
 
    
 
    %matplotlib inline
 
-import os
-import numpy as np
-import pandas as pd
-import matplotlib.pyplot as plt
-from sklearn.model_selection import train_test_split
+import os
+import numpy as np
+import pandas as pd
+import matplotlib.pyplot as plt
+from sklearn.model_selection import train_test_split
 
 
-def R2(y_data, y_model):
+def R2(y_data, y_model):
     return 1 - np.sum((y_data - y_model) ** 2) / np.sum((y_data - np.mean(y_data)) ** 2)
-def MSE(y_data,y_model):
+def MSE(y_data,y_model):
     n = np.size(y_model)
     return np.sum((y_data-y_model)**2)/n
 
@@ -1034,7 +1034,7 @@ but now splitting the data into a training set and a test set.
    
 
    
 
    
 
    # equivalently in numpy
-def train_test_split_numpy(inputs, labels, train_size, test_size):
+def train_test_split_numpy(inputs, labels, train_size, test_size):
     n_inputs = len(inputs)
     inputs_shuffled = inputs.copy()
     labels_shuffled = labels.copy()
@@ -1139,13 +1139,13 @@ simple test design matrix with random numbers. Each column could then
 represent a specific feature whose mean value is subracted.
    
 
    
 
    
-
    import sklearn.linear_model as skl
-from sklearn.metrics import mean_squared_error
-from sklearn.model_selection import  train_test_split
-from sklearn.preprocessing import MinMaxScaler, StandardScaler, Normalizer
-import numpy as np
-import pandas as pd
-from IPython.display import display
+
    import sklearn.linear_model as skl
+from sklearn.metrics import mean_squared_error
+from sklearn.model_selection import  train_test_split
+from sklearn.preprocessing import MinMaxScaler, StandardScaler, Normalizer
+import numpy as np
+import pandas as pd
+from IPython.display import display
 np.random.seed(100)
 # setting up a 10 x 5 matrix
 rows = 10
@@ -1201,12 +1201,12 @@ the aims is to reproduce Figure 2.11 of \(X\) defined by a fourth-order polynomial.  Scale your data and split it in training and test data.
    
 
    
 
    
-
    import matplotlib.pyplot as plt
-import numpy as np
-from sklearn.linear_model import LinearRegression
-from sklearn.preprocessing import PolynomialFeatures
-from sklearn.model_selection import train_test_split
-from sklearn.pipeline import make_pipeline
+
    import matplotlib.pyplot as plt
+import numpy as np
+from sklearn.linear_model import LinearRegression
+from sklearn.preprocessing import PolynomialFeatures
+from sklearn.model_selection import train_test_split
+from sklearn.pipeline import make_pipeline
 
 
 np.random.seed(2018)
@@ -1486,13 +1486,13 @@ discussion of Ridge regression.
    
 
    The code here is a simple demonstration of how to implement Ridge regression with our own code and compare this with scikit-learn.
    
 
    
 
    
-
    import numpy as np
-import pandas as pd
-import matplotlib.pyplot as plt
-from sklearn.model_selection import train_test_split
-from sklearn import linear_model
+
    import numpy as np
+import pandas as pd
+import matplotlib.pyplot as plt
+from sklearn.model_selection import train_test_split
+from sklearn import linear_model
 
-def MSE(y_data,y_model):
+def MSE(y_data,y_model):
     n = np.size(y_model)
     return np.sum((y_data-y_model)**2)/n
 
@@ -1650,9 +1650,9 @@ In general the economy-size SVD leads to less FLOPS and still conserving the des
 
    Codes for the SVD#
    
 
    
 
    
-
    import numpy as np
+
    import numpy as np
 # SVD inversion
-def SVD(A):
+def SVD(A):
     ''' Takes as input a numpy matrix A and returns inv(A) based on singular value decomposition (SVD).
     SVD is numerically more stable than the inversion algorithms provided by
     numpy and scipy.linalg at the cost of being slower.
@@ -2025,7 +2025,7 @@ covariance matrix through the np.linalg.eig() function.
    
 
    
 
    
 
    # Importing various packages
-import numpy as np
+import numpy as np
 n = 100
 x = np.random.normal(size=n)
 print(np.mean(x))
@@ -2048,7 +2048,7 @@ code which sets up the correlations matrix for the previous example in
 a more brute force way. Here we scale the mean values for each column of the design matrix, calculate the relevant mean values and variances and then finally set up the \(2\times 2\) correlation matrix (since we have only two vectors).
    
 
    
 
    
-
    import numpy as np
+
    import numpy as np
 n = 100
 # define two vectors                                                                                           
 x = np.random.random(size=n)
@@ -2083,8 +2083,8 @@ this matrix we easily see that it is a positive definite matrix.
    
 
    We whow here how we can set up the correlation matrix using pandas, as done in this simple code
    
 
    
 
    
-
    import numpy as np
-import pandas as pd
+
    import numpy as np
+import pandas as pd
 n = 10
 x = np.random.normal(size=n)
 x = x - np.mean(x)
@@ -2522,20 +2522,20 @@ and \(\tilde{X}_{ij} = X_{ij} - \frac
 Note also that we do not split the data into training and test.
    
 
    
 
    
-
    import numpy as np
-import matplotlib.pyplot as plt
+
    import numpy as np
+import matplotlib.pyplot as plt
 
-from sklearn.linear_model import LinearRegression
+from sklearn.linear_model import LinearRegression
 
 
 np.random.seed(2021)
 
-def MSE(y_data,y_model):
+def MSE(y_data,y_model):
     n = np.size(y_model)
     return np.sum((y_data-y_model)**2)/n
 
 
-def fit_beta(X, y):
+def fit_beta(X, y):
     return np.linalg.pinv(X.T @ X) @ X.T @ y
 
 
@@ -2665,13 +2665,13 @@ intercept.
    
 
    Armed with this wisdom, we attempt first to simply set the intercept equal to False in our implementation of Ridge regression for our well-known  vanilla data set.
    
 
    
 
    
-
    import numpy as np
-import pandas as pd
-import matplotlib.pyplot as plt
-from sklearn.model_selection import train_test_split
-from sklearn import linear_model
+
    import numpy as np
+import pandas as pd
+import matplotlib.pyplot as plt
+from sklearn.model_selection import train_test_split
+from sklearn import linear_model
 
-def MSE(y_data,y_model):
+def MSE(y_data,y_model):
     n = np.size(y_model)
     return np.sum((y_data-y_model)**2)/n
 
@@ -2740,14 +2740,14 @@ What happens if we do not include the intercept in our fit?
 Let us see how we can change this code by zero centering.
    
 
    
 
    
-
    import numpy as np
-import pandas as pd
-import matplotlib.pyplot as plt
-from sklearn.model_selection import train_test_split
-from sklearn import linear_model
-from sklearn.preprocessing import StandardScaler
+
    import numpy as np
+import pandas as pd
+import matplotlib.pyplot as plt
+from sklearn.model_selection import train_test_split
+from sklearn import linear_model
+from sklearn.preprocessing import StandardScaler
 
-def MSE(y_data,y_model):
+def MSE(y_data,y_model):
     n = np.size(y_model)
     return np.sum((y_data-y_model)**2)/n
 # A seed just to ensure that the random numbers are the same for every run.
diff --git a/doc/LectureNotes/_build/html/week36.html b/doc/LectureNotes/_build/html/week36.html
index 760dd4f5f..1a2fc7868 100644
--- a/doc/LectureNotes/_build/html/week36.html
+++ b/doc/LectureNotes/_build/html/week36.html
@@ -28,7 +28,7 @@
 
 
 
-    
+    
     
     
     
diff --git a/doc/LectureNotes/_build/html/week37.html b/doc/LectureNotes/_build/html/week37.html
index fc3cc5d82..38ee6b872 100644
--- a/doc/LectureNotes/_build/html/week37.html
+++ b/doc/LectureNotes/_build/html/week37.html
@@ -28,7 +28,7 @@
 
 
 
-    
+    
     
     
     
diff --git a/doc/LectureNotes/_build/jupyter_execute/.venv/lib/python3.13/site-packages/jupyter_book/book_template/markdown-notebooks.ipynb b/doc/LectureNotes/_build/jupyter_execute/.venv/lib/python3.13/site-packages/jupyter_book/book_template/markdown-notebooks.ipynb
new file mode 100644
index 000000000..ab3e9c63d
--- /dev/null
+++ b/doc/LectureNotes/_build/jupyter_execute/.venv/lib/python3.13/site-packages/jupyter_book/book_template/markdown-notebooks.ipynb
@@ -0,0 +1,85 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "b2bc44f6",
+   "metadata": {},
+   "source": [
+    "# Notebooks with MyST Markdown\n",
+    "\n",
+    "Jupyter Book also lets you write text-based notebooks using MyST Markdown.\n",
+    "See [the Notebooks with MyST Markdown documentation](https://jupyterbook.org/file-types/myst-notebooks.html) for more detailed instructions.\n",
+    "This page shows off a notebook written in MyST Markdown.\n",
+    "\n",
+    "## An example cell\n",
+    "\n",
+    "With MyST Markdown, you can define code cells with a directive like so:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4ddd8e91",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(2 + 2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8e6cbd45",
+   "metadata": {},
+   "source": [
+    "When your book is built, the contents of any `{code-cell}` blocks will be\n",
+    "executed with your default Jupyter kernel, and their outputs will be displayed\n",
+    "in-line with the rest of your content.\n",
+    "\n",
+    "```{seealso}\n",
+    "Jupyter Book uses [Jupytext](https://jupytext.readthedocs.io/en/latest/) to convert text-based files to notebooks, and can support [many other text-based notebook files](https://jupyterbook.org/file-types/jupytext.html).\n",
+    "```\n",
+    "\n",
+    "## Create a notebook with MyST Markdown\n",
+    "\n",
+    "MyST Markdown notebooks are defined by two things:\n",
+    "\n",
+    "1. YAML metadata that is needed to understand if / how it should convert text files to notebooks (including information about the kernel needed).\n",
+    "   See the YAML at the top of this page for example.\n",
+    "2. The presence of `{code-cell}` directives, which will be executed with your book.\n",
+    "\n",
+    "That's all that is needed to get started!\n",
+    "\n",
+    "## Quickly add YAML metadata for MyST Notebooks\n",
+    "\n",
+    "If you have a markdown file and you'd like to quickly add YAML metadata to it, so that Jupyter Book will treat it as a MyST Markdown Notebook, run the following command:\n",
+    "\n",
+    "```\n",
+    "jupyter-book myst init path/to/markdownfile.md\n",
+    "```"
+   ]
+  }
+ ],
+ "metadata": {
+  "jupytext": {
+   "formats": "md:myst",
+   "text_representation": {
+    "extension": ".md",
+    "format_name": "myst",
+    "format_version": 0.13,
+    "jupytext_version": "1.11.5"
+   }
+  },
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "source_map": [
+   13,
+   25,
+   27
+  ]
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
\ No newline at end of file
diff --git a/doc/LectureNotes/_build/jupyter_execute/.venv/lib/python3.13/site-packages/jupyter_book/book_template/notebooks.ipynb b/doc/LectureNotes/_build/jupyter_execute/.venv/lib/python3.13/site-packages/jupyter_book/book_template/notebooks.ipynb
new file mode 100644
index 000000000..1e007e192
--- /dev/null
+++ b/doc/LectureNotes/_build/jupyter_execute/.venv/lib/python3.13/site-packages/jupyter_book/book_template/notebooks.ipynb
@@ -0,0 +1,122 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Content with notebooks\n",
+    "\n",
+    "You can also create content with Jupyter Notebooks. This means that you can include\n",
+    "code blocks and their outputs in your book.\n",
+    "\n",
+    "## Markdown + notebooks\n",
+    "\n",
+    "As it is markdown, you can embed images, HTML, etc into your posts!\n",
+    "\n",
+    "![](https://myst-parser.readthedocs.io/en/latest/_static/logo-wide.svg)\n",
+    "\n",
+    "You can also $add_{math}$ and\n",
+    "\n",
+    "$$\n",
+    "math^{blocks}\n",
+    "$$\n",
+    "\n",
+    "or\n",
+    "\n",
+    "$$\n",
+    "\\begin{aligned}\n",
+    "\\mbox{mean} la_{tex} \\\\ \\\\\n",
+    "math blocks\n",
+    "\\end{aligned}\n",
+    "$$\n",
+    "\n",
+    "But make sure you \\$Escape \\$your \\$dollar signs \\$you want to keep!\n",
+    "\n",
+    "## MyST markdown\n",
+    "\n",
+    "MyST markdown works in Jupyter Notebooks as well. For more information about MyST markdown, check\n",
+    "out [the MyST guide in Jupyter Book](https://jupyterbook.org/content/myst.html),\n",
+    "or see [the MyST markdown documentation](https://myst-parser.readthedocs.io/en/latest/).\n",
+    "\n",
+    "## Code blocks and outputs\n",
+    "\n",
+    "Jupyter Book will also embed your code blocks and output in your book.\n",
+    "For example, here's some sample Matplotlib code:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from matplotlib import rcParams, cycler\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "plt.ion()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Fixing random state for reproducibility\n",
+    "np.random.seed(19680801)\n",
+    "\n",
+    "N = 10\n",
+    "data = [np.logspace(0, 1, 100) + np.random.randn(100) + ii for ii in range(N)]\n",
+    "data = np.array(data).T\n",
+    "cmap = plt.cm.coolwarm\n",
+    "rcParams['axes.prop_cycle'] = cycler(color=cmap(np.linspace(0, 1, N)))\n",
+    "\n",
+    "\n",
+    "from matplotlib.lines import Line2D\n",
+    "custom_lines = [Line2D([0], [0], color=cmap(0.), lw=4),\n",
+    "                Line2D([0], [0], color=cmap(.5), lw=4),\n",
+    "                Line2D([0], [0], color=cmap(1.), lw=4)]\n",
+    "\n",
+    "fig, ax = plt.subplots(figsize=(10, 5))\n",
+    "lines = ax.plot(data)\n",
+    "ax.legend(custom_lines, ['Cold', 'Medium', 'Hot']);"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "There is a lot more that you can do with outputs (such as including interactive outputs)\n",
+    "with your book. For more information about this, see [the Jupyter Book documentation](https://jupyterbook.org)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.0"
+  },
+  "widgets": {
+   "application/vnd.jupyter.widget-state+json": {
+    "state": {},
+    "version_major": 2,
+    "version_minor": 0
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
\ No newline at end of file
diff --git a/doc/LectureNotes/_build/jupyter_execute/exercisesweek38.ipynb b/doc/LectureNotes/_build/jupyter_execute/exercisesweek38.ipynb
index da3d85912..dcba467a5 100644
--- a/doc/LectureNotes/_build/jupyter_execute/exercisesweek38.ipynb
+++ b/doc/LectureNotes/_build/jupyter_execute/exercisesweek38.ipynb
@@ -245,9 +245,13 @@
    "id": "831db06c",
    "metadata": {},
    "source": [
-    "**a)** Show that you can rewrite this in terms of a term which contains the variance of the model itself (the so-called variance term), a\n",
-    "term which measures the deviation from the true data and the mean value of the model (the bias term) and finally the variance of the noise Note that in order to be able to evaluate the bias them, you will need to approximate the function $f$ with the model ${\\bf y}$.\n",
-    "show that\n"
+    "**a)** Show that you can rewrite this into an expression which contains\n",
+    "\n",
+    "- the variance of the model (the variance term)\n",
+    "- the expected deviation of the mean of the model from the true data (the bias term)\n",
+    "- the variance of the noise\n",
+    "\n",
+    "In other words, show that:\n"
    ]
   },
   {
@@ -403,6 +407,8 @@
     "#        X = ...\n",
     "#        X_train, X_test, y_train, y_test = ...\n",
     "#\n",
+    "#        #this is where you fit your model on the sampled data\n",
+    "#\n",
     "#        predictions[b, :] =\n",
     "#        targets[b, :] =\n",
     "#\n",
@@ -418,7 +424,7 @@
    "source": [
     "**e)** Discuss the bias-variance trade-off as function of your model complexity (the degree of the polynomial).\n",
     "\n",
-    "**f)** Compute and discuss the bias and variance as function of the number of data points (choose a suitable polynomial degree to show something interesiting).\n"
+    "**f)** Compute and discuss the bias and variance as function of the number of data points (choose a suitable polynomial degree to show something interesting).\n"
    ]
   },
   {
diff --git a/doc/LectureNotes/_build/jupyter_execute/exercisesweek39.ipynb b/doc/LectureNotes/_build/jupyter_execute/exercisesweek39.ipynb
index 449990270..e9c229ddc 100644
--- a/doc/LectureNotes/_build/jupyter_execute/exercisesweek39.ipynb
+++ b/doc/LectureNotes/_build/jupyter_execute/exercisesweek39.ipynb
@@ -56,7 +56,7 @@
    "source": [
     "We require all projects to be formatted as proper scientific reports, and this includes using LaTeX for typesetting. We strongly recommend that you use the online LaTeX editor Overleaf, as it is much easier to start using, and has excellent support for collaboration.\n",
     "\n",
-    "**a)** Create an account on Overleaf.com\n",
+    "**a)** Create an account on Overleaf.com, or log in using SSO with your UiO email.\n",
     "\n",
     "**b)** Download [this](https://github.com/CompPhysics/MachineLearning/blob/master/doc/LectureNotes/data/FYS_STK_Template.zip) template project.\n",
     "\n",
@@ -67,18 +67,6 @@
     "**e)** Look at the provided example of an earlier project, found at \n"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "338b2ee1",
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "id": "ec36f4c3",
@@ -130,7 +118,7 @@
    "id": "2f512b59",
    "metadata": {},
    "source": [
-    "## Exercise 4: Making the code avaliable and presentable\n"
+    "## Exercise 4: Making the code available and presentable\n"
    ]
   },
   {
diff --git a/doc/LectureNotes/exercisesweek38.ipynb b/doc/LectureNotes/exercisesweek38.ipynb
index 60cc93b8e..f58edd704 100644
--- a/doc/LectureNotes/exercisesweek38.ipynb
+++ b/doc/LectureNotes/exercisesweek38.ipynb
@@ -245,9 +245,13 @@
    "id": "831db06c",
    "metadata": {},
    "source": [
-    "**a)** Show that you can rewrite this in terms of a term which contains the variance of the model itself (the so-called variance term), a\n",
-    "term which measures the deviation from the true data and the mean value of the model (the bias term) and finally the variance of the noise Note that in order to be able to evaluate the bias them, you will need to approximate the function $f$ with the model ${\\bf y}$.\n",
-    "show that\n"
+    "**a)** Show that you can rewrite this into an expression which contains\n",
+    "\n",
+    "- the variance of the model (the variance term)\n",
+    "- the expected deviation of the mean of the model from the true data (the bias term)\n",
+    "- the variance of the noise\n",
+    "\n",
+    "In other words, show that:\n"
    ]
   },
   {
@@ -403,6 +407,8 @@
     "#        X = ...\n",
     "#        X_train, X_test, y_train, y_test = ...\n",
     "#\n",
+    "#        #this is where you fit your model on the sampled data\n",
+    "#\n",
     "#        predictions[b, :] =\n",
     "#        targets[b, :] =\n",
     "#\n",
@@ -418,7 +424,7 @@
    "source": [
     "**e)** Discuss the bias-variance trade-off as function of your model complexity (the degree of the polynomial).\n",
     "\n",
-    "**f)** Compute and discuss the bias and variance as function of the number of data points (choose a suitable polynomial degree to show something interesiting).\n"
+    "**f)** Compute and discuss the bias and variance as function of the number of data points (choose a suitable polynomial degree to show something interesting).\n"
    ]
   },
   {
diff --git a/doc/LectureNotes/exercisesweek39.ipynb b/doc/LectureNotes/exercisesweek39.ipynb
index 7e520c96d..22a86cb56 100644
--- a/doc/LectureNotes/exercisesweek39.ipynb
+++ b/doc/LectureNotes/exercisesweek39.ipynb
@@ -56,7 +56,7 @@
    "source": [
     "We require all projects to be formatted as proper scientific reports, and this includes using LaTeX for typesetting. We strongly recommend that you use the online LaTeX editor Overleaf, as it is much easier to start using, and has excellent support for collaboration.\n",
     "\n",
-    "**a)** Create an account on Overleaf.com\n",
+    "**a)** Create an account on Overleaf.com, or log in using SSO with your UiO email.\n",
     "\n",
     "**b)** Download [this](https://github.com/CompPhysics/MachineLearning/blob/master/doc/LectureNotes/data/FYS_STK_Template.zip) template project.\n",
     "\n",
@@ -67,18 +67,6 @@
     "**e)** Look at the provided example of an earlier project, found at \n"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "338b2ee1",
-   "metadata": {
-    "vscode": {
-     "languageId": "plaintext"
-    }
-   },
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "id": "ec36f4c3",
@@ -130,7 +118,7 @@
    "id": "2f512b59",
    "metadata": {},
    "source": [
-    "## Exercise 4: Making the code avaliable and presentable\n"
+    "## Exercise 4: Making the code available and presentable\n"
    ]
   },
   {