Array Programming with NumPy

Harris, Charles R.; Millman, K. Jarrod; van der Walt, Stéfan J.; Gommers, Ralf; Virtanen, Pauli; Cournapeau, David; Wieser, Eric; Taylor, Julian; Berg, Sebastian; Smith, Nathaniel J.; Kern, Robert; Picus, Matti; Hoyer, Stephan; van Kerkwijk, Marten H.; Brett, Matthew; Haldane, Allan; del Río, Jaime Fernández; Wiebe, Mark; Peterson, Pearu; Gérard-Marchant, Pierre; Sheppard, Kevin; Reddy, Tyler; Weckesser, Warren; Abbasi, Hameer; Gohlke, Christoph; Oliphant, Travis E.

doi:10.48550/arxiv.2006.10256

Public

Array Programming with NumPy

Published in arXiv (Cornell University) • Jun 18, 2020

NobleIDNI7P87W50R15S81

Authors:

Charles R. Harris

,

K. Jarrod Millman

,

Stéfan J. van der Walt

Abstract

Array programming provides a powerful, compact, expressive syntax for accessing, manipulating, and operating on data in vectors, matrices, and higher-dimensional arrays. NumPy is the primary array programming library for the Python language. It plays an essential role in research analysis pipelines ...

Subject

Python (programming language)

Computer science

Syntax

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