The NumPy Array: A Structure for Efficient Numerical Computation
Top Cited Papers
- 7 March 2011
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in Computing in Science & Engineering
- Vol. 13 (2), 22-30
- https://doi.org/10.1109/mcse.2011.37
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.Keywords
This publication has 1 reference indexed in Scilit:
- IPython: A System for Interactive Scientific ComputingComputing in Science & Engineering, 2007