articleNature MethodsFeb 3, 2020HYBRID OA

SciPy 1.0: fundamental algorithms for scientific computing in Python

PVPauli VirtanenRGRalf GommersTETravis E. OliphantMHMatt HaberlandTRTyler Reddy

University of Jyväskylä · Quansight (United States) · +25 more institutions

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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.

Citation impact

37,180
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2432.59
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100%
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Authors

112
  • PV
    Pauli VirtanenCorresponding

    University of Jyväskylä

  • RG
    Ralf Gommers

    Quansight (United States)

  • TE
    Travis E. Oliphant

    Brigham Young University, Quansight (United States), Anaconda (United States), Enthought (United States), Mayo Clinic in Florida

  • MH
    Matt Haberland

    California Polytechnic State University, University of California, Los Angeles

  • TR
    Tyler Reddy

    Los Alamos National Laboratory

Topics & keywords

Topics
Keywords
  • Python (programming language)
  • Code (set theory)
  • Source code
  • De facto
  • Function (biology)
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