NumPy is the fundamental package for scientific computing with Python. It contains, among other things, the following:

  • 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, NumPy 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.

NumPy development is supported at BIDS through grants from the Moore and the Sloan Foundations.

BIDS Affiliates

Nathaniel Smith

Computational Fellow

Stéfan van der Walt

Berkeley Institute for Data Science
Research Fellow

Matti Picus

Berkeley Institute for Data Science
NumPy Developer