Python Data Science Handbook
Essential Tools for Working with Data
- License
- Creative Commons Attribution-NonCommercial-NoDerivatives (text); MIT (code)
- Source
- jakevdp.github.io (official)
Description
A practical guide to the core Python data-science stack: IPython/Jupyter, NumPy, Pandas, Matplotlib, and Scikit-Learn, with real workflows for cleaning, transforming, visualizing, and modeling data.
Book information
- Language
- English
- Category
- Machine Learning
- Level
- Intermediate
- Published
- 2016
- Format
- HTML
- License
- Creative Commons Attribution-NonCommercial-NoDerivatives (text); MIT (code)
- Source
- jakevdp.github.io (official)
Topics
License
Creative Commons — Creative Commons Attribution-NonCommercial-NoDerivatives (text); MIT (code) (license text ↗)
This resource is listed because its license permits redistribution.
Full text and code published as free Jupyter notebooks on the author's GitHub.
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