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:

http://www.numpy.org

After installation, tests can be run with:

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

The most current development version is always available from our git repository:

http://github.com/numpy/numpy

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

Uh oh!

Uh oh!