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SciPy 1.0: fundamental algorithms for scientific computing in Python

Pauli Virtanen; Ralf Gommers; Travis E. Oliphant; Matt Haberland; Tyler Reddy; David Cournapeau; Evgeni Burovski; Pearu Peterson · Monash University Research Portal (Monash University) · 2019

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Abstract: SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year. In this work, we provide an overview of the capabilities and development practices of SciPy 1.0 and highlight some recent technical developments.

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APA 7

Virtanen, P, Gommers, R, Oliphant, T. E, Haberland, M, Reddy, T, Cournapeau, D, Burovski, E, & Peterson, P. (2019). SciPy 1.0: fundamental algorithms for scientific computing in Python. Monash University Research Portal (Monash University). https://doi.org/10.17863/cam.64134

MLA

Virtanen, Pauli, et al. SciPy 1.0: fundamental algorithms for scientific computing in Python. Monash University Research Portal (Monash University), 2019. https://doi.org/10.17863/cam.64134.

Chicago

Virtanen, Pauli, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, and Pearu Peterson. 2019. SciPy 1.0: fundamental algorithms for scientific computing in Python. Monash University Research Portal (Monash University). https://doi.org/10.17863/cam.64134.

Harvard

Virtanen, P. et al. 2019, SciPy 1.0: fundamental algorithms for scientific computing in Python, Monash University Research Portal (Monash University), available at: https://doi.org/10.17863/cam.64134 [Accessed 7 Aug. 2026].

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Title
SciPy 1.0: fundamental algorithms for scientific computing in Python
Author / contributors
Pauli Virtanen; Ralf Gommers; Travis E. Oliphant; Matt Haberland; Tyler Reddy; David Cournapeau; Evgeni Burovski; Pearu Peterson
Publisher
Monash University Research Portal (Monash University)
Publication year
2019
Language
English

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