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Latest commit e6593fb May 26, 2016 @charris charris Merge pull request #7681 from charris/update-1.11.1-notes
DOC: Update 1.11.1 release notes.
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benchmarks ENH: make memmap file in temporary directory Feb 14, 2016
branding/icons add .gitattributes and fix line endings Oct 31, 2010
doc DOC: Update 1.11.1 release notes. May 26, 2016
numpy MAINT: Fix up C++ comment in arraytypes.c.src. May 26, 2016
tools Fix a false positive OverflowError in Python 3.x when value above 0x7… Apr 22, 2016
.gitattributes TST: Add tests for Python2, Python3 *.npy compatibility. Oct 12, 2014
.gitignore BLD: finish handling of setuptools commands. Jan 16, 2016
.gitmodules Add Numpydoc as a git submodule Jul 25, 2013
.mailmap MAINT: Yet more .mailmap updates for recent contributors. Mar 28, 2016
.travis.yml MAINT: use manylinux1 wheel for cython Apr 21, 2016 MAINT give pointers to coding style and dev environment Aug 28, 2015
INSTALL.rst.txt DOC: update Python versions requirements in the install docs Jan 24, 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 REL: Update master branch after 1.12.x branch has been made. Jan 19, 2016 expose test runner raise_warnings option May 9, 2016 MAINT: Cleanp of random stuff May 4, 2016
site.cfg.example BLD: fix configparser.InterpolationSyntaxError Apr 28, 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:

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