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Latest commit a800659 Feb 22, 2017 @charris charris committed on GitHub Merge pull request #8655 from eric-wieser/lapack_lite-warning-squelch
MAINT: Squelch parenthesis warnings from GCC
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benchmarks Merge pull request #8629 from eric-wieser/speedup-indices Feb 19, 2017
branding/icons add .gitattributes and fix line endings Oct 31, 2010
doc Merge pull request #8043 from pv/ufunc-copy-overlap Feb 16, 2017
numpy Merge pull request #8655 from eric-wieser/lapack_lite-warning-squelch Feb 22, 2017
tools TST: switch to ubuntu yakkety for testing Jan 18, 2017
.gitattributes MAINT: Decrease merge conflicts in release notes Feb 12, 2017
.gitignore ENH: Vendorize tempita. Oct 1, 2016
.gitmodules Add Numpydoc as a git submodule Jul 25, 2013
.mailmap MAINT: Forward port accumulated changes from the 1.12.0 release. Jan 16, 2017
.travis.yml Merge pull request #8381 from eric-wieser/rebuild-lapack_lite Feb 20, 2017 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 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 MAINT: Forward port accumulated changes from the 1.12.0 release. Jan 16, 2017 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: