numpy / numpy

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The fundamental package for scientific computing with Python.

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2026-10-03last pushed

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What it is, and how people use it

The fundamental package for scientific computing with Python. It sits on the Program Projects shelf of the catalog, maintained by @numpy.

✓Drop-in for Claude Code, Codex CLI and Cursor - install and it just runs.

✓Read the SKILL.md / README first; most setups are one command from the docs.

✓Teams use it to standardise how agents behave across every repo in the org.

numpypythongsoc

Works out of the box

Open source installs are one command from the README, and the community threads cover the edge cases before you hit them.

Shared by thousands of builders

This many stars means the defaults are battle-tested across real projects - you inherit other people's hard-won setup knowledge.

Transparent and inspectable

Read exactly what the code, prompts and configs do before you install. Nothing is hidden behind a hosted model.

Actively maintained

The snapshot tracks commits, issues and releases, so you can see the project is alive before you depend on it.

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