Updating first chapter
This commit is contained in:
@@ -73,7 +73,7 @@ we recommend that you install the following Python packages via _pip_ as
|
||||
o pip install numpy scipy matplotlib ipython scikit-learn mglearn sympy pandas pillow
|
||||
For Python3, replace _pip_ with _pip3_.
|
||||
|
||||
For OSX user we recommend also, after having installed Xcode, to install _brew_. Brew allows
|
||||
For OSX users we recommend also, after having installed Xcode, to install _brew_. Brew allows
|
||||
for a seamless installation of additional software via for example
|
||||
o brew install python3
|
||||
|
||||
@@ -91,7 +91,7 @@ o Enthought canopy
|
||||
|
||||
|
||||
!split
|
||||
===== Installing R and C++ =====
|
||||
===== Installing R, C++, cython or Julia =====
|
||||
|
||||
You will also find it convenient to utilize R. Say more about R.
|
||||
Jupyter/Ipython notebook allows you run _R_ code interactively in your browser. The software library _R_ is
|
||||
@@ -106,10 +106,17 @@ setup allows you to integrate widely popular softwares and tools for scientific
|
||||
including symbolic operations, Python offers a unique computational environment. Your Jupyter/IPython notebook
|
||||
can easily be converted into a nicely rendered _PDF_ file or a Latex file for further processing.
|
||||
|
||||
This never ends,
|
||||
|
||||
If you se the light mark-up language _doconce_ you can convert a standard ascii text file into various HTML
|
||||
formats, ipython notebooks, latex files, pdf files etc.
|
||||
|
||||
!split
|
||||
===== Introduction to Jupyter notebook and available tools =====
|
||||
|
||||
!split
|
||||
===== Doing it in R =====
|
||||
Use the Hudson bay model to load data and make plot in R and with python
|
||||
|
||||
|
||||
!split
|
||||
|
||||
Reference in New Issue
Block a user