The NumPy Array: A Structure for Efficient Numerical Computation

201110,793 citationsJournal Articlegreen Open Access

Authors

Stéfan van der Walt · Stellenbosch University

Steven C. Colbert · Enthought (United States)

Gaël Varoquaux · Institut national de recherche en informatique et en automatique

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.

Topics & Keywords

Parallel Computing and Optimization Techniques Evolutionary Algorithms and Applications Computational Physics and Python Applications

Publication Details

Published in: Computing in Science & Engineering

Volume 13, Issue 2, pp. 22-30

DOI: 10.1109/mcse.2011.37

Field-Weighted Citation Impact: 23.64

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The NumPy Array: A Structure for Efficient Numerical Computation

Authors

Abstract

Topics & Keywords

Publication Details