research-article

The NumPy Array: A Structure for Efficient Numerical Computation

Authors:

Stefan van der Walt,

S. Chris Colbert,

Gael VaroquauxAuthors Info & Claims

Computing in Science and Engineering, Volume 13, Issue 2

Pages 22 - 30

https://doi.org/10.1109/MCSE.2011.37

Published: 01 March 2011 Publication History

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Abstract

In the Python world, NumPy arrays are the standard representation for numerical data and enable efficient implementation of numerical computations in a high-level language. As this effort shows, NumPy performance can be improved through three techniques: vectorizing calculations, avoiding copying data in memory, and minimizing operation counts.

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cover image Computing in Science and Engineering

Computing in Science and Engineering Volume 13, Issue 2

March 2011

86 pages

ISSN:1521-9615

Issue’s Table of Contents

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IEEE Educational Activities Department

United States

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Published: 01 March 2011

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https://dl.acm.org/doi/10.1145/3639297
Pandey SDas SGanu HSingh SBalsamo SKnottenbelt WAbad CShang W(2024)Rethinking 'Complement' Recommendations at Scale with SIMDProceedings of the 15th ACM/SPEC International Conference on Performance Engineering10.1145/3629526.3645041(25-36)Online publication date: 7-May-2024
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