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chromium / external / github.com / numpy / numpy / c59b0a97229bbe2bc3e50a8bbc0cbea05df72b8f
commitc59b0a97229bbe2bc3e50a8bbc0cbea05df72b8f[log] [tgz]
authorMatti Picus <matti.picus@gmail.com>Fri May 27 05:39:20 2022
committerGitHub <noreply@github.com>Fri May 27 05:39:20 2022
tree188b5a7ac5cb59d0eb2ec1eeb313c815fb30a7d3
parent18c3671429f56fb07106b91a0eaf37a9e3e83809 [diff]
parent14101ae5cf8a498a8f9573eaa3963a4fc47acc8d [diff]
Merge pull request #21617 from charris/update-download-wheels

MAINT, STY: Make download-wheels download source files.
tree: 188b5a7ac5cb59d0eb2ec1eeb313c815fb30a7d3
  1. .circleci/
  2. .github/
  3. benchmarks/
  4. branding/
  5. doc/
  6. numpy/
  7. tools/
  8. .clang-format
  9. .codecov.yml
  10. .coveragerc
  11. .ctags.d
  12. .gitattributes
  13. .gitignore
  14. .gitmodules
  15. .gitpod.yml
  16. .hadolint.yaml
  17. .lgtm.yml
  18. .mailmap
  19. .travis.yml
  20. azure-pipelines.yml
  21. azure-steps-windows.yml
  22. CITATION.bib
  23. doc_requirements.txt
  24. environment.yml
  25. INSTALL.rst
  26. LICENSE.txt
  27. LICENSES_bundled.txt
  28. linter_requirements.txt
  29. MANIFEST.in
  30. pavement.py
  31. pyproject.toml
  32. pytest.ini
  33. README.md
  34. release_requirements.txt
  35. runtests.py
  36. setup.cfg
  37. setup.py
  38. site.cfg.example
  39. test_requirements.txt
  40. THANKS.txt
  41. tox.ini
  42. versioneer.py
README.md

Powered by NumFOCUS PyPI Downloads Conda Downloads Stack Overflow Nature Paper

NumPy is the fundamental package for scientific computing with Python.

It provides:

  • a powerful N-dimensional array object
  • sophisticated (broadcasting) functions
  • tools for integrating C/C++ and Fortran code
  • useful linear algebra, Fourier transform, and random number capabilities

Testing:

NumPy requires pytest and hypothesis. Tests can then be run after installation with:

python -c 'import numpy; numpy.test()'

Code of Conduct

NumPy is a community-driven open source project developed by a diverse group of contributors. The NumPy leadership has made a strong commitment to creating an open, inclusive, and positive community. Please read the NumPy Code of Conduct for guidance on how to interact with others in a way that makes our community thrive.

Call for Contributions

The NumPy project welcomes your expertise and enthusiasm!

Small improvements or fixes are always appreciated. If you are considering larger contributions to the source code, please contact us through the mailing list first.

Writing code isn’t the only way to contribute to NumPy. You can also:

  • review pull requests
  • help us stay on top of new and old issues
  • develop tutorials, presentations, and other educational materials
  • maintain and improve our website
  • develop graphic design for our brand assets and promotional materials
  • translate website content
  • help with outreach and onboard new contributors
  • write grant proposals and help with other fundraising efforts

For more information about the ways you can contribute to NumPy, visit our website. If you’re unsure where to start or how your skills fit in, reach out! You can ask on the mailing list or here, on GitHub, by opening a new issue or leaving a comment on a relevant issue that is already open.

Our preferred channels of communication are all public, but if you’d like to speak to us in private first, contact our community coordinators at numpy-team@googlegroups.com or on Slack (write numpy-team@googlegroups.com for an invitation).

We also have a biweekly community call, details of which are announced on the mailing list. You are very welcome to join.

If you are new to contributing to open source, this guide helps explain why, what, and how to successfully get involved.