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.

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2nd Edition Readers

If you are reading the 2nd Edition (published in 2017), please find the
reorganized book materials on the 2nd-edition branch.

1st Edition Readers

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

IPython Notebooks:

• 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: Introduction to Modeling Libraries in Python
• Chapter 13: Data Analysis Examples
• Appendix A: Advanced NumPy

License

Code

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.