The NumPy Array: A Structure for Efficient Numerical Computation
Computing in Science & Engineering2011Vol. 13(2), pp. 22–30
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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.