Category:NumPy: Difference between revisions
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[[wp:NumPy | NumPy]] is a numerical mathematics extension to the [[Python]] programming language. |
[[wp:NumPy | NumPy]] is a numerical mathematics extension to the [[Python]] programming language. |
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It adds support for large, multi-dimensional arrays and matrices, |
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. |
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along with a large library of high-level mathematical functions |
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to operate on these arrays. |
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and [[:Category:matplotlib|matplotlib]]. |
and [[:Category:matplotlib|matplotlib]]. |
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;See also: [[Fortran|Fortran 90]], [[MATLAB]], [[Julia]], [[Octave]], [[R]], [[Scilab]], [[Yorick]], [[Stata]]/Mata, [[SAS]]/IML, which all support numerical computations on matrices. |
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[[wp:NumPy | NumPy]] 1.9 supports Python 2.6, 2.7, 3.3, and 3.4 |
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[[FreeLAB]], |
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;See also: [[MATLAB]], [[LabVIEW]], [[Julia]], [[Octave|GNU Octave]], [[PARI/GP]], [[R]], [[:Category:Scilab|SciLab]], [[Yorick]] |
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[[Category:Python]] [[Category:SciPy]] |
[[Category:Python]] [[Category:SciPy]] |
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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.
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.
SciPy makes use of NumPy and matplotlib.
Pages in category "NumPy"
The following 13 pages are in this category, out of 13 total.