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Python for Data Analysis is the official companion repository for Python for Data Analysis, 3rd Edition by Wes McKinney. It contains the datasets, examples, and IPython notebooks used throughout the book. The repository helps readers practice Python data analysis concepts directly in Jupyter Notebook. Its chapters cover Python basics, NumPy, pandas, data loading, cleaning, wrangling, visualization, time series, modeling libraries, and full analysis examples. The project includes setup options using uv or Conda, with dependency files to reproduce the working environment. It is best suited for learners, analysts, and developers who want hands-on practice with the modern Python data stack.
Features
- Companion notebooks for Python for Data Analysis
- Chapter-based Jupyter learning materials
- Included datasets and examples
- pandas and NumPy practice workflows
- uv and Conda setup options
- MIT-licensed code samples
Project Samples
Categories
Data AnalyticsFollow Python for Data Analysis
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