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The NumPy Array: A Structure for Efficient Numerical Computation

Stéfan van der Walt; Steven C. Colbert; Gaël Varoquaux · Computing in Science & Engineering · 2011

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Author / responsible party
Stéfan van der Walt; Steven C. Colbert; Gaël Varoquaux
Publisher
Computing in Science & Engineering
Year
2011
Language
English

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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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APA 7

Walt, S. V. D, Colbert, S. C, & Varoquaux, G. (2011). The NumPy Array: A Structure for Efficient Numerical Computation. https://doi.org/10.1109/mcse.2011.37

MLA

Walt, Stéfan van der, et al. "The NumPy Array: A Structure for Efficient Numerical Computation." 2011. https://doi.org/10.1109/mcse.2011.37.

Chicago

Walt, Stéfan van der, Steven C. Colbert, and Gaël Varoquaux. 2011. "The NumPy Array: A Structure for Efficient Numerical Computation.". https://doi.org/10.1109/mcse.2011.37.

Harvard

Walt, S. V. D, Colbert, S. C. and Varoquaux, G. 2011, The NumPy Array: A Structure for Efficient Numerical Computation, Computing in Science & Engineering, available at: https://doi.org/10.1109/mcse.2011.37 [Accessed 7 Aug. 2026].

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Title
The NumPy Array: A Structure for Efficient Numerical Computation
Author / contributors
Stéfan van der Walt; Steven C. Colbert; Gaël Varoquaux
Publisher
Computing in Science & Engineering
Publication year
2011
Language
English

Subjects

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Python (programming language); Computation; Copying; Computer science; Data structure; Computational science; Parallel computing; Array data structure; Algorithm; Programming language; Law; Political science
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