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Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media.
About Pydata book
Pydata book is the companion repository for the third edition of "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media. It contains notebooks and supporting files for the book's chapters, with setup guidance and separate materials for earlier editions. Code samples are released under the MIT license.
Pricing is not clearly stated.
Key features
- Chapter notebooks cover Python basics and Jupyter, NumPy, pandas, data loading, cleaning, wrangling and plotting.
- Later chapters cover data aggregation, time series, modeling libraries and analysis examples; Appendix A covers advanced NumPy.
- The repository includes datasets and examples folders.
- Recommended setup uses uv and pyproject.toml; a conda alternative uses Python 3.11 and requirements.txt.
- Uses pandas 2.0.3 to keep the notebooks compatible.
Best for: Readers of "Python for Data Analysis" who want to run the book's chapter notebooks and examples.
Pydata book at a glance
- Website
- github.com/wesm/pydata-book
- Category
- AI & Machine Learning › AI Data & Analytics
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Details verified
- Oct 22, 2026 · Official source
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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