NumPy 1.21.0 release
Merge pull request #19283 from charris/prepare-1.21.0-release

REL: Prepare for 1.21.0 release
tree: dc70c545d306fc28e304b6bf2d51d8e9ae5d8e39
  1. .circleci/
  2. .github/
  3. benchmarks/
  4. branding/
  5. doc/
  6. numpy/
  7. tools/
  8. .codecov.yml
  9. .coveragerc
  10. .ctags.d
  11. .gitattributes
  12. .gitignore
  13. .gitmodules
  14. .gitpod.yml
  15. .hadolint.yaml
  16. .lgtm.yml
  17. .mailmap
  18. .travis.yml
  19. azure-pipelines.yml
  20. azure-steps-windows.yml
  21. doc_requirements.txt
  22. environment.yml
  23. INSTALL.rst.txt
  24. LICENSE.txt
  25. LICENSES_bundled.txt
  26. linter_requirements.txt
  27. MANIFEST.in
  28. pavement.py
  29. pyproject.toml
  30. pytest.ini
  31. README.md
  32. release_requirements.txt
  33. runtests.py
  34. setup.cfg
  35. setup.py
  36. site.cfg.example
  37. test_requirements.txt
  38. THANKS.txt
  39. tox.ini
  40. versioneer.py
README.md

NumPy is the fundamental package needed 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. Tests can then be run after installation with:

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

Call for Contributions

The NumPy project welcomes your expertise and enthusiasm!

Small improvements or fixes are always appreciated; issues labeled as “good first issue” may be a good starting point. 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
  • triage 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

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.

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