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

If you are reading the 2nd Edition, please find the reorganized book materials on the 2nd-edition branch.

• Chapter 2: Introductory Examples
• Chapter 4: NumPy Basics
• Chapter 5: Getting Started with Pandas
• Chapter 6: Data Loading, Storage, and File Formats
• Chapter 7: Data Wrangling: Clean, Transform, Merge, Reshape
• Chapter 8: Plotting and Visualization
• Chapter 9: Data Aggregation and Group Operations
• Chapter 10: Time Series
• Chapter 11: Financial and Economic Data Applications
• Chapter 12: Advanced NumPy
• Python Appendix
• 2012 Federal Election Commission Database