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:

• https://www.numpy.org

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:

• https://github.com/numpy/numpy