https://github.com/wesm/pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
https://github.com/wesm/pydata-book

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Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

• Host: GitHub
• URL: https://github.com/wesm/pydata-book
• Owner: wesm
• License: other
• Created: 2012-06-30T18:39:12.000Z (over 12 years ago)
• Default Branch: 3rd-edition
• Last Pushed: 2023-12-22T08:57:08.000Z (about 1 year ago)
• Last Synced: 2024-10-29T11:27:02.974Z (3 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 62.2 MB
• Stars: 22,175
• Watchers: 1,482
• Forks: 15,166
• Open Issues: 21
• Metadata Files:
  • Readme: README.md
  • License: COPYING

Awesome Lists containing this project

• my-awesome-github-stars - wesm/pydata-book - Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media (Jupyter Notebook)
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• awesome-quarto - Python for Data Analysis, 3E - "Python for Data Analysis" book thrid edition (see <https://wesmckinney.com/book/>). (Real-life examples / Book formats)
• StarryDivineSky - wesm/pydata-book

README

        
# Python for Data Analysis, 3rd Edition

Materials and IPython notebooks for "Python for Data Analysis, 3rd

Edition" by Wes McKinney, published by O'Reilly Media. Book content

including updates and errata fixes can be [found for free on my

website][6].

[Buy the book on Amazon][1]

Follow Wes on Twitter: [![Twitter Follow](https://img.shields.io/twitter/follow/wesmckinn.svg?style=social&label=Follow)](https://twitter.com/wesmckinn)

# 2nd Edition Readers

If you are reading the 2nd Edition (published in 2017), please find the

reorganized book materials on the [`2nd-edition` branch][5].

# 1st Edition Readers

If you are reading the 1st Edition (published in 2012), please find the

reorganized book materials on the [`1st-edition` branch][2].

## IPython Notebooks:

* [Chapter 2: Python Language Basics, IPython, and Jupyter Notebooks](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch02.ipynb)

* [Chapter 3: Built-in Data Structures, Functions, and Files](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch03.ipynb)

* [Chapter 4: NumPy Basics: Arrays and Vectorized Computation](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch04.ipynb)

* [Chapter 5: Getting Started with pandas](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch05.ipynb)

* [Chapter 6: Data Loading, Storage, and File Formats](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch06.ipynb)

* [Chapter 7: Data Cleaning and Preparation](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch07.ipynb)

* [Chapter 8: Data Wrangling: Join, Combine, and Reshape](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch08.ipynb)

* [Chapter 9: Plotting and Visualization](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch09.ipynb)

* [Chapter 10: Data Aggregation and Group Operations](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch10.ipynb)

* [Chapter 11: Time Series](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch11.ipynb)

* [Chapter 12: Introduction to Modeling Libraries in Python](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch12.ipynb)

* [Chapter 13: Data Analysis Examples](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/ch13.ipynb)

* [Appendix A: Advanced NumPy](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/3rd-edition/appa.ipynb)

## License

### Code

The code in this repository, including all code samples in the notebooks listed

above, is released under the [MIT license](LICENSE-CODE). Read more at the

[Open Source Initiative](https://opensource.org/licenses/MIT).

[1]: https://amzn.to/3DyLaJc

[2]: https://github.com/wesm/pydata-book/tree/1st-edition

[5]: https://github.com/wesm/pydata-book/tree/2nd-edition

[6]: https://wesmckinney.com/book/