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

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

• Chinese by Xu Liang

• Chapter 2: Python Language Basics, IPython, and Jupyter Notebooks
• Chapter 3: Built-in Data Structures, Functions, and Files
• Chapter 4: NumPy Basics: Arrays and Vectorized Computation
• Chapter 5: Getting Started with pandas
• Chapter 6: Data Loading, Storage, and File Formats
• Chapter 7: Data Cleaning and Preparation
• Chapter 8: Data Wrangling: Join, Combine, and Reshape
• Chapter 9: Plotting and Visualization
• Chapter 10: Data Aggregation and Group Operations
• Chapter 11: Time Series
• Chapter 12: Advanced pandas
• Chapter 13: Introduction to Modeling Libraries in Python
• Chapter 14: Data Analysis Examples
• Appendix A: Advanced NumPy

The code in this repository, including all code samples in the notebooks listed above, is released under the MIT license. Read more at the Open Source Initiative.