# pydata-book **Repository Path**: lx00a1/pydata-book ## Basic Information - **Project Name**: pydata-book - **Description**: Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: 1st-edition - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-02-16 - **Last Updated**: 2020-12-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # pydata-book Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media # 2nd Edition Readers If you are reading the [2nd Edition][1], please find the reorganized book materials on the [`2nd-edition` branch][2]. ## IPython Notebooks: * [Chapter 2: Introductory Examples](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/1st-edition/ch02.ipynb) * [Chapter 4: NumPy Basics](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/1st-edition/ch04.ipynb) * [Chapter 5: Getting Started with Pandas](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/1st-edition/ch05.ipynb) * [Chapter 6: Data Loading, Storage, and File Formats](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/1st-edition/ch06.ipynb) * [Chapter 7: Data Wrangling: Clean, Transform, Merge, Reshape](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/1st-edition/ch07.ipynb) * [Chapter 8: Plotting and Visualization](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/1st-edition/ch08.ipynb) * [Chapter 9: Data Aggregation and Group Operations](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/1st-edition/ch09.ipynb) * [Chapter 10: Time Series](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/1st-edition/ch10.ipynb) * [Chapter 11: Financial and Economic Data Applications](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/1st-edition/ch11.ipynb) * [Chapter 12: Advanced NumPy](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/1st-edition/ch12.ipynb) * [Python Appendix](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/1st-edition/appendix_python.ipynb) * [2012 Federal Election Commission Database](http://nbviewer.ipython.org/github/pydata/pydata-book/blob/1st-edition/fec_study.ipynb) [1]: http://shop.oreilly.com/product/0636920050896.do [2]: https://github.com/wesm/pydata-book/tree/2nd-edition