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 · Nature Methods · 2020

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Pauli Virtanen; Ralf Gommers; Travis E. Oliphant; Matt Haberland; Tyler Reddy; David Cournapeau; Evgeni Burovski; Pearu Peterson

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Nature Methods

Year

2020

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English

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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. (2020). SciPy 1.0: fundamental algorithms for scientific computing in Python. https://doi.org/10.1038/s41592-019-0686-2

MLA

Virtanen, Pauli, et al. "SciPy 1.0: fundamental algorithms for scientific computing in Python." 2020. https://doi.org/10.1038/s41592-019-0686-2.

Chicago

Virtanen, Pauli, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, and Pearu Peterson. 2020. "SciPy 1.0: fundamental algorithms for scientific computing in Python.". https://doi.org/10.1038/s41592-019-0686-2.

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Virtanen, P. et al. 2020, SciPy 1.0: fundamental algorithms for scientific computing in Python, Nature Methods, available at: https://doi.org/10.1038/s41592-019-0686-2 [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: Nature Methods

Publication year: 2020

Language: English

Subjects

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Python (programming language); Computer science; Code (set theory); Theoretical computer science; Computational science; Source code; Programming language; De facto; Algorithm; Function (biology); Software; Data science