Clone this repo:
  1. 518e074 Merge pull request #9220 from eric-wieser/simplify-nanfuncs by Charles Harris · 2 days ago master
  2. 03283c2 Merge pull request #9242 from drumstok/tensordot by Charles Harris · 2 days ago
  3. 4f8d952 ENH: Make 0-length dim handling of tensordot consistent with dot/einsum by Pim de Haan · 2 days ago
  4. bbe994f MAINT: Factor out code duplicated by nanmedian and nanpercentile by Eric Wieser · 3 days ago
  5. cfb909f Merge pull request #9268 from rgommers/more-nose-plugins by Julian Taylor · 4 days ago

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: