# pydata-book

**Repository Path**: aduwa/pydata-book

## Basic Information

- **Project Name**: pydata-book
- **Description**: Periodically-updated mirror of github.com/wesm/pydata-book 
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: 3rd-edition
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 52
- **Created**: 2021-12-18
- **Last Updated**: 2024-06-01

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Python for Data Analysis, 2nd Edition

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

[Buy the book on Amazon][1]

<a href="https://notebooks.azure.com/import/gh/wesm/pydata-book"><img src="https://notebooks.azure.com/launch.png" /></a>

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

# 1st Edition Readers

If you are reading the [1st Edition][1] (published in 2012), please find the
reorganized book materials on the [`1st-edition` branch][2].

# Translations

* [Chinese][3] by Xu Liang
* [Polish][4] by Michal Biesiada

## IPython Notebooks:

* [Chapter 2: Python Language Basics, IPython, and Jupyter Notebooks](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/2nd-edition/ch02.ipynb)
* [Chapter 3: Built-in Data Structures, Functions, and Files](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/2nd-edition/ch03.ipynb)
* [Chapter 4: NumPy Basics: Arrays and Vectorized Computation](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/2nd-edition/ch04.ipynb)
* [Chapter 5: Getting Started with pandas](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/2nd-edition/ch05.ipynb)
* [Chapter 6: Data Loading, Storage, and File Formats](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/2nd-edition/ch06.ipynb)
* [Chapter 7: Data Cleaning and Preparation](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/2nd-edition/ch07.ipynb)
* [Chapter 8: Data Wrangling: Join, Combine, and Reshape](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/2nd-edition/ch08.ipynb)
* [Chapter 9: Plotting and Visualization](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/2nd-edition/ch09.ipynb)
* [Chapter 10: Data Aggregation and Group Operations](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/2nd-edition/ch10.ipynb)
* [Chapter 11: Time Series](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/2nd-edition/ch11.ipynb)
* [Chapter 12: Advanced pandas](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/2nd-edition/ch12.ipynb)
* [Chapter 13: Introduction to Modeling Libraries in Python](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/2nd-edition/ch13.ipynb)
* [Chapter 14: Data Analysis Examples](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/2nd-edition/ch14.ipynb)
* [Appendix A: Advanced NumPy](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/2nd-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]: http://amzn.to/2vvBijB
[2]: https://github.com/wesm/pydata-book/tree/1st-edition
[3]: https://github.com/BrambleXu/pydata-notebook
[4]: https://github.com/mbiesiad/pydata-book/tree/pl_PL