Category:NumPy: Difference between revisions

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and [[:Category:matplotlib|matplotlib]].
and [[:Category:matplotlib|matplotlib]].


;See also: [[MATLAB]], [[Julia]], [[Octave]], [[R]], [[Scilab]], [[Yorick]], [[Stata]]/Mata, [[SAS]]/IML, which all support numerical computations on matrices.
;See also: [[Fortran|Fortran 90]], [[MATLAB]], [[Julia]], [[Octave]], [[R]], [[Scilab]], [[Yorick]], [[Stata]]/Mata, [[SAS]]/IML, which all support numerical computations on matrices.


[[Category:Python]] [[Category:SciPy]]
[[Category:Python]] [[Category:SciPy]]

Latest revision as of 21:16, 10 March 2018

Library
This is an example of a library. You may see a list of other libraries used on Rosetta Code at Category:Solutions by Library.

NumPy is a numerical mathematics extension to the Python programming language. It adds support for large, multi-dimensional arrays and matrices, along with a large library of high-level mathematical functions to operate on these arrays.


Websites
http://www.numpy.org - https://pypi.python.org/pypi/numpy

SciPy makes use of NumPy and matplotlib.

See also
Fortran 90, MATLAB, Julia, Octave, R, Scilab, Yorick, Stata/Mata, SAS/IML, which all support numerical computations on matrices.