Fork of numpy/numpy
C Python C++ Other
Switch branches/tags
Pull request Compare This branch is 137 commits behind numpy:master.
Latest commit 4497d47 Mar 27, 2017 @charris committed on GitHub Merge pull request #8852 from juliantaylor/gcc-inplace-fix
MAINT: restore auto-vectorization of inplace operations
Permalink
Failed to load latest commit information.
benchmarks BENCH: use initialized memory for count_nonzero benchmark Mar 25, 2017
branding/icons add .gitattributes and fix line endings Oct 31, 2010
doc Merge pull request #8847 from charris/update-1.13.0-notes Mar 27, 2017
numpy MAINT: restore auto-vectorization of inplace operations Mar 27, 2017
tools Merge pull request #8695 from charris/remove-unneeded-scripts Mar 12, 2017
.gitattributes MAINT: Remove numpy-macosx-installer and win32build directories. Feb 25, 2017
.gitignore ENH: Allows building npy_math with static inlining Mar 10, 2017
.gitmodules Add Numpydoc as a git submodule Jul 25, 2013
.mailmap DOC: Update 1.12.1 release notes. Mar 6, 2017
.travis.yml TST: run the slow tests earlier for better travis scheduling Mar 1, 2017
CONTRIBUTING.md MAINT give pointers to coding style and dev environment Aug 28, 2015
INSTALL.rst.txt BUG: financial.pmt modifies input #8055 Sep 23, 2016
LICENSE.txt Update LICENSE.txt to 2017 Jan 18, 2017
MANIFEST.in
README.md Added label icon to Travis status Mar 7, 2016
THANKS.txt ENH: core: Start einsum function, add copyright notices to files Jan 23, 2011
appveyor.yml TST: Install `pytz` in the CI. Feb 25, 2016
pavement.py MAINT: Forward port accumulated changes from the 1.12.0 release. Jan 16, 2017
runtests.py Merge pull request #8027 from rainwoodman/patch-2 Oct 1, 2016
setup.py
site.cfg.example DOC: change Numpy to NumPy in remaining files Sep 6, 2016
tox.ini TST: Add Python 3.5 and 3.6 to Tox environments Mar 8, 2017

README.md


----------------- | **`Travis CI Status`** | |-------------------| |[![Travis](https://img.shields.io/travis/numpy/numpy.svg)](https://travis-ci.org/numpy/numpy)|

NumPy is the fundamental package needed for scientific computing with Python. This package contains:

  • 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.

It derives from the old Numeric code base and can be used as a replacement for Numeric. It also adds the features introduced by numarray and can be used to replace numarray.

More information can be found at the website:

After installation, tests can be run (if nose is installed) with:

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

The most current development version is always available from our git repository: