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wesm (Wes McKinney) · GitHub
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16.1k followers · 56 following

Sponsors

@Yvictor
@rezmoss
@tinhb92
@julerex
@igor53627
@horizonchasers
@kubla
Private Sponsor

Achievements

Achievement: Pair Extraordinairex4Achievement: QuickdrawAchievement: YOLOAchievement: Pull Sharkx4Achievement: Mars 2020 ContributorAchievement: Arctic Code Vault ContributorAchievement: Starstruckx4

Achievements

Achievement: Pair Extraordinairex4Achievement: QuickdrawAchievement: YOLOAchievement: Pull Sharkx4Achievement: Mars 2020 ContributorAchievement: Arctic Code Vault ContributorAchievement: Starstruckx4

Highlights

  • Pro

Organizations

@apache @statsmodels @pydata @datapad @conda-forge @pandas-dev @ibis-project

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wesm/README.md

I created pandas and co-created Apache Arrow and Ibis.

Principal Architect at Posit · GP at Composed Ventures · Apache Member · Blog · Previously: Two Sigma, Cloudera, DataPad

What I’m working on

ProjectStarsDescription
roborev stars Continuous code review for AI coding agents. Reviews every commit via git hooks, catches issues while context is fresh, and can fix them autonomously.
agentsview stars Fast local coding agent session viewer for Claude, Codex, and Gemini. Analytics dashboard and full text search across all sessions.
msgvault stars Archive a lifetime of email and chat locally. Full Gmail backup with search, DuckDB-powered analytics, an interactive TUI, and an MCP server for AI queries — all entirely offline.
Spicy Takes stars 20+ prolific tech writers (Paul Graham, Martin Fowler, and others) analyzed by LLMs. Every post gets a TL;DR, quotations, and a spiciness rating.
Positron stars A next-generation data science IDE built on VS Code, supporting Python and R.
pandas stars The most widely used data analysis library in Python.
Apache Arrow stars Language-independent columnar memory format for analytics.
Ibis stars Portable Python dataframe API for any backend.
Python for Data Analysis 3rd Edition

My book Python for Data Analysis is the most widely used introduction to the Python data stack — pandas, NumPy, IPython, Jupyter. Now in its 3rd edition.


Sponsor   I support open-source data science through NumFOCUS and donate at least $1000/year.

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  5. 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

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