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 to seamlessly and speedily integrate with a wide variety of databases. A complete archive associated with documentation for all Num Py (Numerical Python) produces (minor versions; bugfix produces don’t contain significant paperwork changes) since 2009 may be found at https://docs.scipy.org. Note: Requires Python. Available too: Download NumPy for Mac pc Download NumPy Latest Edition