Computing in Science & Engineering
The NumPy Array: A Structure for Efficient Numerical Computation
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Preprint, hosted by Cornell University (arxiv.org)
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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.
DOI: 10.1109/mcse.2011.37 · Publisher: Institute of Electrical and Electronics Engineers (IEEE)