Clone this repo:
  1. 80f0a0a Merge pull request #9724 from jjhelmus/gfortran_regex by Charles Harris · 3 hours ago master
  2. e847a56 Merge pull request #9726 from NelleV/better_error_message by Charles Harris · 4 hours ago
  3. a5e8031 Merge pull request #9725 from ahaldane/circular_arrayprint by Charles Harris · 5 hours ago
  4. 2f4a965 ENH Better error message for savetxt when X.ndim > 2 by Nelle Varoquaux · 5 hours ago
  5. 7ad345e MAINT: cleanup circular import b/w, by Allan Haldane · 5 hours ago

Powered by NumFOCUS

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: