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DOC: Corrected allowed keywords in add_(installed_)library
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numpy DOC: Corrected allowed keywords in add_(installed_)library Aug 26, 2016
tools Avoid NPY_ARRAY_F_CONTIGUOUS for numpy < 1.7 Jun 18, 2016
.gitattributes TST: Add tests for Python2, Python3 *.npy compatibility. Oct 12, 2014
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.travis.yml MAINT: use manylinux1 wheel for cython Apr 21, 2016
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INSTALL.rst.txt DOC: update Python versions requirements in the install docs Jan 24, 2016
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MANIFEST.in BUG: fix TravisCI test issues when using setuptools unconditionally. Jan 16, 2016
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README.md



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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: