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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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Stéfan van der Walt
Steven C. Colbert
Gaël Varoquaux
Computing in Science & Engineering
Institut national de recherche en sciences et technologies du numérique
Stellenbosch University
Enthought (United States)
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Walt et al. (Tue,) studied this question.
www.synapsesocial.com/papers/69d6b1cae328128020aa7fc9 — DOI: https://doi.org/10.1109/mcse.2011.37
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