Python for Data Analysis, 2nd Edition. (数据集)

# 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] # 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]. ## 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