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

• Website (including documentation): http://www.numpy.org
• Mailing list: https://mail.python.org/mailman/listinfo/numpy-discussion
• Source: https://github.com/numpy/numpy
• Bug reports: https://github.com/numpy/numpy/issues

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

If nose is installed, tests can be run after installation with:

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