python-for-data-analysis

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

IPython Notebooks:

There are a lot of errors due to Pandas package development. A lot of functions are deprecated. After a week of reading the fantastic book Python for Data Analysis and a lot of questions from Quora and Stackoverflow, I am adding my notebooks and serve a bookmark for me to run the codes again in the future.

• 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