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chromium / external / github.com / numpy / numpy / refs/tags/v1.16.4
tag082563d500e0eddbc208ca6f00cfd0f7b5c7a248
taggerCharles Harris <charlesr.harris@gmail.com>Tue May 28 18:37:09 2019
object7ebbc2ed3b4a388dd3942e1d8ef2de18074a09b3 
NumPy 1.16.4 release
commit7ebbc2ed3b4a388dd3942e1d8ef2de18074a09b3[log] [tgz]
authorCharles Harris <charlesr.harris@gmail.com>Mon May 27 20:07:23 2019
committerCharles Harris <charlesr.harris@gmail.com>Mon May 27 20:07:23 2019
tree4b61dd2f99e91690ffa7ac66868ccbba42ba7e10
parent858cd32281759cb26591f01066e34fd3a3fd4e60 [diff]
REL: NumPy 1.16.4 release.
1 file changed
tree: 4b61dd2f99e91690ffa7ac66868ccbba42ba7e10
  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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