Skip to content

wdirons/numpy

 
 

Repository files navigation

NumPy

Travis AppVeyor

NumPy is the fundamental package needed for scientific computing with Python.

It provides:

  • 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

Testing:

  • NumPy versions >= 1.15 require pytest
  • NumPy versions < 1.15 require nose

Tests can then be run after installation with:

python -c 'import numpy; numpy.test()'

Powered by NumFOCUS

Packages

No packages published

Languages

  • C 53.6%
  • Python 45.0%
  • C++ 1.2%
  • JavaScript 0.1%
  • Fortran 0.1%
  • Shell 0.0%