Google Git
Sign in
chromium / external / github.com / numpy / numpy / refs/tags/v1.16.1
tag16d3d444cda41946ff5ecefdc5fa182d3da3e73e
taggerCharles Harris <charlesr.harris@gmail.com>Thu Jan 31 23:06:07 2019
object685b9ace06f1dc50e2698099d7a2b6a241379318 
NumPy 1.16.1 release.
commit685b9ace06f1dc50e2698099d7a2b6a241379318[log] [tgz]
authorCharles Harris <charlesr.harris@gmail.com>Thu Jan 31 20:54:00 2019
committerCharles Harris <charlesr.harris@gmail.com>Thu Jan 31 20:54:00 2019
treef63592d67a5bfe53a6cef5ecf3d76303be17de7f
parent8b4e7db68c1c5405fdb9ed57ce94e09eaa2d3298 [diff]
REL: NumPy 1.16.1 release.
1 file changed
tree: f63592d67a5bfe53a6cef5ecf3d76303be17de7f
  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()'

Powered by NumFOCUS