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Issue No. 02 - March/April (2011 vol. 13)
ISSN: 1521-9615
pp: 22-30
Stéfan van der Walt , Stellenbosch University
S. Chris Colbert , Enthought, Inc.
ABSTRACT
<p>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.</p>
INDEX TERMS
Python, NumPy, scientific programming, numerical computations, programming libraries
CITATION
Stéfan van der Walt, S. Chris Colbert, Gaël Varoquaux, "The NumPy Array: A Structure for Efficient Numerical Computation", Computing in Science & Engineering, vol. 13, no. , pp. 22-30, March/April 2011, doi:10.1109/MCSE.2011.37
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