Python Data Science Handbook Supplemental Materials

Supplemental materials for my OReilly project, the Python Data Science Handbook

See also the free companion project, A Whirlwind Tour of Python.

This repository will contain the full listing of IPython notebooks used to create the book, including all text and code. I am currently editing these, and will post them as I make my way through. See the content here:

Preface

1. IPython: Beyond Normal Python

2. Introduction to NumPy (coming soon)

3. Data Manipulation with Pandas (coming soon)

4. Visualization with Matplotlib (coming soon)

5. Machine Learning (coming soon)

Code Listings

Until the notebooks are finished, you can see all the code from the book in code_listings. The code is in IPython notebooks, organized by book chapter and section. All code from this book was tested with Python 3.4-3.5, though it should be near 100% compatible with Python 2.7 as well.

Figure Appendix

Nearly every figure used in the book was generated using Matplotlib. Most figures are generated by the code within the text; those few that are not can be found in the online-only Figure Appendix

License

The code here is released under the MIT license. Read more at the Open Source Initiative.

The textual content of the book is released under the CC-BY-NC-ND license. Read more at Creative Commons.