pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
IPython Notebooks:
- 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