Compiling the best information for understanding, practice, and re-use later.
A collection of student and reference notebooks on useful and important Python and Python-related topics and methods. Distributed in Jupyter Notebook files and format.
Requires a working installation of Jupyter Notebooks. (I use the Anaconda python distribution with Jupyter.) Save the files and open with Jupyter Notebook application.
Provides explanations and sample code for important topics and methods.
If you'd like to contribute, please fork the repository and use a feature branch. Pull requests are warmly welcome.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.