Learn | NEPs | User Guide | API reference | Building from source | Release notes | AI Policy | Spin: NumPy’s developer tool | Development workflow | Reviewer guidelines | NumPy benchmarks | NumPy C style guide | For downstream package authors | Releasing a version | NumPy governance | Building the NumPy API and reference docs | How to contribute to the NumPy documentation | Advanced debugging tools | Setting up and using your development environmen | Using GitHub Codespaces for NumPy development
Tin mới
Understanding NumPy’s versioning and API/ABI stability
Not a coder? Not a problem! NumPy is multi-faceted, and we can use a lot of help. These are all activities we’d like to get help with (they’re all important, so we list them in alphabetical order):
Commit locally as you progress (git add and git commit) Use a properly formatted commit message, write tests that fail before your change and pass afterward, run all the tests locally. Be sure to document any changed beh
Commit locally as you progress (git add and git commit) Use a properly formatted commit message, write tests that fail before your change and pass afterward, run all the tests locally. Be sure to document any changed beh
(in NumPy Enhancement Proposals)
Building the NumPy API and reference docs
Finding C errors with additional tooling
Using GitHub Codespaces for NumPy development
NumPy project governance and decision-making
How to contribute to the NumPy documentation