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wesm/README.md
Python for Data Analysis 3rd Edition

Most people know me as the creator of pandas, but I also co-created Apache Arrow and Ibis.

I'm currently a Principal Architect at Posit PBC, Chief Scientist at Voltron Data, and a General Partner at Composed Ventures. I am a Member of the Apache Software Foundation. Before my current roles, I worked at Two Sigma Investments, Cloudera, and co-founded DataPad.

I blog occasionally on my personal website.

You can sponsor me with GitHub Sponsors. I donate at least $1000 each year to NumFOCUS to support pandas and also encourage you to consider donating there, too.

My book Python for Data Analysis (3rd Edition, 2022) is a comprehensive introduction to the Python data stack including pandas, NumPy, IPython, and Jupyter. It's been used by hundreds of thousands of data scientists and analysts worldwide.

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  1. apache/arrow apache/arrow Public

    Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics

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  2. moneyflow moneyflow Public

    Moneyflow: Personal Finance Data Interface for Power Users (supporting backends like Monarch Money, YNAB)

    Python 95 7

  3. ibis-project/ibis ibis-project/ibis Public

    the portable Python dataframe library

    Python 6.2k 680

  4. pandas-dev/pandas pandas-dev/pandas Public

    Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

    Python 47k 19.2k

  5. pydata-book pydata-book Public

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

    Jupyter Notebook 23.9k 15.6k

  6. statsmodels/statsmodels statsmodels/statsmodels Public

    Statsmodels: statistical modeling and econometrics in Python

    Python 11.1k 3.3k