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chromium / external / github.com / numpy / numpy / refs/tags/v1.16.6
tag91b9a5df01461eef33a396a0a2d210aa7643a159
taggerCharles Harris <charlesr.harris@gmail.com>Sun Dec 29 22:07:21 2019
object3dec7099ce38cb189880f6f69df318f35ff9a5ea 
NumPy 1.16.6 release.
commit3dec7099ce38cb189880f6f69df318f35ff9a5ea[log] [tgz]
authorCharles Harris <charlesr.harris@gmail.com>Sun Dec 29 18:43:21 2019
committerCharles Harris <charlesr.harris@gmail.com>Sun Dec 29 18:43:21 2019
tree1aed87d28f4a8e05388a2cc5d22aa83f476e3512
parent56ebda27b3122f7ac7b4dc5e7afac60e34e7baa1 [diff]
REL: NumPy 1.16.6 release.
2 files changed
tree: 1aed87d28f4a8e05388a2cc5d22aa83f476e3512
  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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