The NumPy array: a structure for efficient numerical computation

Details The NumPy array: a structure for efficient numerical computation The NumPy array: a structure for efficient numerical computation

2011-02-08

arxiv.org/abs/1102.1523v1

Computing in Science and Engineering 13, 2 (2011) 22-30

Computer Science

Mathematical Software

Scientific paper

10.1109/MCSE.2011.37

In the Python world, NumPy arrays are the standard representation for numerical data. Here, we show how these arrays enable efficient implementation of numerical computations in a high-level language. Overall, three techniques are applied to improve performance: vectorizing calculations, avoiding copying data in memory, and minimizing operation counts. We first present the NumPy array structure, then show how to use it for efficient computation, and finally how to share array data with other libraries.

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