The fundamental package for scientific computing with Python.

License: BSD-3-Clause

Language: C

Keywords: numpy, python


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

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


  • NumPy versions ≥ 1.15 require pytest
  • NumPy versions < 1.15 require nose

Tests can then be run after installation with:

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

Call for Contributions

NumPy appreciates help from a wide range of different backgrounds. Work such as high level documentation or website improvements are valuable and we would like to grow our team with people filling these roles. Small improvements or fixes are always appreciated and issues labeled as easy may be a good starting point. If you are considering larger contributions outside the traditional coding work, please contact us through the mailing list.

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Top Contributors See all

Charles Harris Travis E. Oliphant David Cournapeau Pearu Peterson Eric Wieser Pauli Virtanen Mark Wiebe Julian Taylor Matti Picus Ralf Gommers Sebastian Berg Stefan van der Walt Nathaniel J. Smith Jaime Allan Haldane eric-jones Marten van Kerkwijk Robert Kern Pierre GM Stephan Hoyer

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Recent Tags See all

v1.16.5 August 28, 2019
v1.17.1 August 27, 2019
v1.17.0 July 26, 2019
v1.17.0rc2 July 16, 2019
v1.17.0rc1 June 30, 2019
v1.16.4 May 28, 2019
v1.16.3 April 22, 2019
v1.16.2 February 26, 2019
v1.16.1 January 31, 2019
v1.16.0 January 14, 2019
v1.16.0rc2 January 05, 2019
v1.16.0rc1 December 20, 2018
v1.15.4 November 04, 2018
v1.15.3 October 22, 2018
v1.14.6 September 23, 2018

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