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

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

All the code from the book can be found 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.

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

The full notebooks, containing the entire text of the book, will be posted here as soon as the copy-edit process is finished. Stay tuned!

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