Journal
COMPUTING IN SCIENCE & ENGINEERING
Volume 13, Issue 2, Pages 22-30Publisher
IEEE COMPUTER SOC
DOI: 10.1109/MCSE.2011.37
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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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