NumPy (Numerical Python) is the fundamental package for scientific computing with Python. NumPy is licensed under the BSD license, enabling reuse with few restrictions. It contains among other things:

• 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

Besides its obvious scientific uses, It can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy for macOS to seamlessly and speedily integrate with a wide variety of databases.

A complete archive of documentation for all Num Py (Numerical Python) releases (minor versions; bugfix releases don’t contain significant documentation changes) since 2009 can be found at https://docs.scipy.org.

Note: Requires Python.

Also Available: Download NumPy for Windows