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chromium / external / github.com / numpy / numpy / refs/tags/v1.16.3
tagf1536bae1e3efde60769c8c97bb69b1e88699203
taggerCharles Harris <charlesr.harris@gmail.com>Mon Apr 22 00:54:28 2019
object08b17aee272fb3f64bb0e5e96e0376c0f9fd9424 
NumPy 1.16.3 release.
commit08b17aee272fb3f64bb0e5e96e0376c0f9fd9424[log] [tgz]
authorCharles Harris <charlesr.harris@gmail.com>Sun Apr 21 20:54:24 2019
committerCharles Harris <charlesr.harris@gmail.com>Sun Apr 21 20:54:24 2019
tree52aaefbe90942c3c76a2992f6b05c86e825692c7
parentdec22e4b46d60634b5351eb9a666cda2d169281f [diff]
REL: NumPy 1.16.3 release.
1 file changed
tree: 52aaefbe90942c3c76a2992f6b05c86e825692c7
  1. .circleci/
  2. .github/
  3. benchmarks/
  4. branding/
  5. doc/
  6. numpy/
  7. tools/
  8. .appveyor.yml
  9. .codecov.yml
  10. .coveragerc
  11. .gitattributes
  12. .gitignore
  13. .gitmodules
  14. .lgtm.yml
  15. .mailmap
  16. .travis.yml
  17. azure-pipelines.yml
  18. INSTALL.rst.txt
  19. LICENSE.txt
  20. MANIFEST.in
  21. pavement.py
  22. pytest.ini
  23. README.md
  24. runtests.py
  25. setup.py
  26. shippable.yml
  27. site.cfg.example
  28. THANKS.txt
  29. tox.ini
README.md

Travis AppVeyor Azure codecov

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 versions ≥ 1.15 require pytest
  • NumPy versions < 1.15 require nose

Tests can then be run after installation with:

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

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