Numpy main repository
C Python Other
Latest commit c84e507 Dec 7, 2016 @charris charris committed on GitHub Merge pull request #8351 from shadchin/bug
BUG: correct letter case
Failed to load latest commit information.
benchmarks DOC: change Numpy to NumPy in remaining files Sep 6, 2016
branding/icons add .gitattributes and fix line endings Oct 31, 2010
doc DEP: Drop deprecated boolean indexing behavior and update to new. Dec 3, 2016
numpy BUG: correct letter case Dec 7, 2016
tools ENH: Improve announce tool. Nov 5, 2016
.gitattributes TST: Add tests for Python2, Python3 *.npy compatibility. Oct 12, 2014
.gitignore ENH: Vendorize tempita. Oct 1, 2016
.gitmodules Add Numpydoc as a git submodule Jul 25, 2013
.mailmap MAINT: Cleaned up mailmap Nov 7, 2016
.travis.yml ENH: Deprecation warnings for `/` integer division when running pytho… Nov 1, 2016 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 Updated copyright to 2016 Jan 1, 2016 BUG: fix TravisCI test issues when using setuptools unconditionally. Jan 16, 2016 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 BUG: Fix write_release_task. Nov 17, 2016 Merge pull request #8027 from rainwoodman/patch-2 Oct 1, 2016 MAINT: Update and for numpy 1.13.0. Nov 5, 2016
site.cfg.example DOC: change Numpy to NumPy in remaining files Sep 6, 2016
tox.ini TST: Add Python 3.4 to Tox environments Aug 4, 2015

Travis CI Status

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: