lectures

doc/src/LectureNotes/_build/latex/reports/regression.log

@@ -1,19 +1,19 @@
 Traceback (most recent call last):
-  File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/jupyter_cache/executors/utils.py", line 51, in single_nb_execution
-    executenb(
-  File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 1082, in execute
+  File "/Users/MortenImac/anaconda3/lib/python3.6/site-packages/jupyter_cache/executors/utils.py", line 56, in single_nb_execution
+    record_timing=False,
+  File "/Users/MortenImac/anaconda3/lib/python3.6/site-packages/nbclient/client.py", line 1082, in execute
     return NotebookClient(nb=nb, resources=resources, km=km, **kwargs).execute()
-  File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/util.py", line 74, in wrapped
+  File "/Users/MortenImac/anaconda3/lib/python3.6/site-packages/nbclient/util.py", line 74, in wrapped
     return just_run(coro(*args, **kwargs))
-  File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/util.py", line 53, in just_run
+  File "/Users/MortenImac/anaconda3/lib/python3.6/site-packages/nbclient/util.py", line 53, in just_run
     return loop.run_until_complete(coro)
-  File "/Users/hjensen/opt/anaconda3/lib/python3.8/asyncio/base_events.py", line 616, in run_until_complete
+  File "/Users/MortenImac/anaconda3/lib/python3.6/asyncio/base_events.py", line 484, in run_until_complete
     return future.result()
-  File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 535, in async_execute
-    await self.async_execute_cell(
-  File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 827, in async_execute_cell
+  File "/Users/MortenImac/anaconda3/lib/python3.6/site-packages/nbclient/client.py", line 536, in async_execute
+    cell, index, execution_count=self.code_cells_executed + 1
+  File "/Users/MortenImac/anaconda3/lib/python3.6/site-packages/nbclient/client.py", line 827, in async_execute_cell
     self._check_raise_for_error(cell, exec_reply)
-  File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 735, in _check_raise_for_error
+  File "/Users/MortenImac/anaconda3/lib/python3.6/site-packages/nbclient/client.py", line 735, in _check_raise_for_error
     raise CellExecutionError.from_cell_and_msg(cell, exec_reply['content'])
 nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:
 ------------------
@@ -69,47 +69,47 @@ plt.show()
      32 
      33 # add a 'best fit' line
 
-~/opt/anaconda3/lib/python3.8/site-packages/matplotlib/pyplot.py in hist(x, bins, range, density, weights, cumulative, bottom, histtype, align, orientation, rwidth, log, color, label, stacked, data, **kwargs)
-   2603         orientation='vertical', rwidth=None, log=False, color=None,
-   2604         label=None, stacked=False, *, data=None, **kwargs):
--> 2605     return gca().hist(
-   2606         x, bins=bins, range=range, density=density, weights=weights,
-   2607         cumulative=cumulative, bottom=bottom, histtype=histtype,
+~/anaconda3/lib/python3.6/site-packages/matplotlib/pyplot.py in hist(x, bins, range, density, weights, cumulative, bottom, histtype, align, orientation, rwidth, log, color, label, stacked, data, **kwargs)
+   2608         align=align, orientation=orientation, rwidth=rwidth, log=log,
+   2609         color=color, label=label, stacked=stacked, **({"data": data}
+-> 2610         if data is not None else {}), **kwargs)
+   2611 
+   2612 
 
-~/opt/anaconda3/lib/python3.8/site-packages/matplotlib/__init__.py in inner(ax, data, *args, **kwargs)
+~/anaconda3/lib/python3.6/site-packages/matplotlib/__init__.py in inner(ax, data, *args, **kwargs)
    1563     def inner(ax, *args, data=None, **kwargs):
    1564         if data is None:
 -> 1565             return func(ax, *map(sanitize_sequence, args), **kwargs)
    1566 
    1567         bound = new_sig.bind(ax, *args, **kwargs)
 
-~/opt/anaconda3/lib/python3.8/site-packages/matplotlib/axes/_axes.py in hist(self, x, bins, range, density, weights, cumulative, bottom, histtype, align, orientation, rwidth, log, color, label, stacked, **kwargs)
-   6817             if patch:
-   6818                 p = patch[0]
--> 6819                 p.update(kwargs)
-   6820                 if lbl is not None:
-   6821                     p.set_label(lbl)
+~/anaconda3/lib/python3.6/site-packages/matplotlib/axes/_axes.py in hist(self, x, bins, range, density, weights, cumulative, bottom, histtype, align, orientation, rwidth, log, color, label, stacked, **kwargs)
+   6806             if patch:
+   6807                 p = patch[0]
+-> 6808                 p.update(kwargs)
+   6809                 if lbl is not None:
+   6810                     p.set_label(lbl)
 
-~/opt/anaconda3/lib/python3.8/site-packages/matplotlib/artist.py in update(self, props)
+~/anaconda3/lib/python3.6/site-packages/matplotlib/artist.py in update(self, props)
    1004 
    1005         with cbook._setattr_cm(self, eventson=False):
 -> 1006             ret = [_update_property(self, k, v) for k, v in props.items()]
    1007 
    1008         if len(ret):
 
-~/opt/anaconda3/lib/python3.8/site-packages/matplotlib/artist.py in <listcomp>(.0)
+~/anaconda3/lib/python3.6/site-packages/matplotlib/artist.py in <listcomp>(.0)
    1004 
    1005         with cbook._setattr_cm(self, eventson=False):
 -> 1006             ret = [_update_property(self, k, v) for k, v in props.items()]
    1007 
    1008         if len(ret):
 
-~/opt/anaconda3/lib/python3.8/site-packages/matplotlib/artist.py in _update_property(self, k, v)
-    999                 func = getattr(self, 'set_' + k, None)
+~/anaconda3/lib/python3.6/site-packages/matplotlib/artist.py in _update_property(self, k, v)
    1000                 if not callable(func):
--> 1001                     raise AttributeError('{!r} object has no property {!r}'
-   1002                                          .format(type(self).__name__, k))
-   1003                 return func(v)
+   1001                     raise AttributeError('{!r} object has no property {!r}'
+-> 1002                                          .format(type(self).__name__, k))
+   1003                 return func(v)
+   1004 
 
 AttributeError: 'Rectangle' object has no property 'normed'
 AttributeError: 'Rectangle' object has no property 'normed'

doc/src/LectureNotes/_toc.yml

@@ -1,4 +1,5 @@
-- file: intro.md
+- file: introduction.ipynb
+  numbered: true
 - part: Getting started  #includes also linear algebra
   chapters:
   - file: gettingstarted.ipynb

doc/src/LectureNotes/notebooks.ipynb

@@ -1,122 +0,0 @@
-{
- "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.png)\n",
-    "\n",
-    "You an 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
-}