Open Access

Nature Methods

, volume 17 , issue 3 , pages 261-272

SciPy 1.0: fundamental algorithms for scientific computing in Python

Pauli Virtanen ¹

Ralf Gommers ²

Travis E. Oliphant ^{2, 3, 4, 5, 6}

Matt Haberland ^{7, 8}

Tyler Reddy ⁹

David Cournapeau ¹⁰

Evgeni Burovski ¹¹

Pearu Peterson ^{12, 13}

Warren Weckesser ¹⁴

Jonathan Bright ¹⁵

Stéfan van der Walt ¹⁴

Matthew Brett ¹⁶

JOSHUA WILSON ¹⁷

K Jarrod Millman ^{14, 18}

Nikolay Mayorov ¹⁹

Andrew R. J. Nelson ²⁰

Eric Jones ⁵

ROBERT KERN ⁵

Eric Larson ²¹

C.J. Carey ²²

İlhan Polat ²³

Yu Feng ²⁴

Eric W Moore ²⁵

Jake Vanderplas ²⁶

Denis Laxalde ²⁷

Josef Perktold ²⁸

Robert Cimrman ²⁹

Ian Henriksen ^{6, 30, 31}

E. A. Quintero ³²

Charles R Harris ^{33, 34}

Anne M Archibald ³⁵

AntOnio H. Ribeiro ³⁶

Fabian Pedregosa ³⁷

Paul Van Mulbregt ³⁸

Hide authors affiliations Show authors affiliations: 38 affiliations

University of Jyväskylä, Jyväskylä, FINLAND |

Quansight LLC, Austin, USA |

Ultrasound Imaging, Mayo Clinic, Rochester, USA |

⁴

Electrical Engineering, Brigham Young University, Provo, USA |

⁵

Enthought, Inc., Austin, USA |

⁶

Anaconda Inc., Austin, USA |

⁷

BioResource and Agricultural Engineering Department, California Polytechnic State University, San Luis Obispo, USA |

⁸

Department of Mathematics, University of California Los Angeles, Los Angeles, USA |

⁹

Los alamos National Laboratory, Los Alamos, USA |

¹⁰

Independent researcher, Tokyo, Japan |

¹¹

National Research University Higher School of Economics, Moscow, Russia |

¹²

Independent researcher, Saue, Estonia |

¹³

Department of Mechanics and Applied Mathematics, Institute of Cybernetics at Tallinn Technical University, Tallinn, Estonia |

¹⁴

Berkeley Institute for Data Science, University of California Berkeley, Berkeley, USA |

¹⁵

Independent researcher, New York, USA |

¹⁶

School of Psychology, University of Birmingham, Edgbaston, UK |

¹⁷

Independent researcher, San Francisco, USA |

¹⁸

Division of Biostatistics, University of California Berkeley, Berkeley, USA |

¹⁹

WayRay LLC, Skolkovo Innovation Center, Moscow, Russia |

²⁰

Australian Nuclear Science and Technology Organisation, Lucas Heights, Australia |

²¹

Institute for Learning and Brain Sciences, University of Washington, Seattle, USA |

²²

College of Information and Computing Sciences, University of Massachusetts Amherst, Amherst, USA |

²³

Independent researcher, Amsterdam, The Netherlands |

²⁴

Berkeley Center for Cosmological Physics, University of California Berkeley, Berkeley, USA |

²⁵

Bruker Biospin Corp., Billerica, USA |

²⁶

University Of Washington, Seattle, USA |

²⁷

Independent researcher, Toulouse, France |

²⁸

Independent researcher, Montreal, Canada |

²⁹

New Technologies Research Centre, University of West Bohemia, Plzeň, Czech Republic |

³⁰

Department of Mathematics, Brigham Young University, Provo, USA |

³¹

Oden Institute for Computational Engineering and Sciences, the University of Texas at Austin, Austin, USA |

³²

Independent researcher, Belmont, USA |

³³

Space Dynamics Laboratory, North Logan, USA |

³⁴

Independent researcher, Logan, USA |

³⁵

Anton Pannekoek Institute, Amsterdam, The Netherlands |

³⁶

Graduate Program in Electrical Engineering, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil |

³⁷

Google LLC, Montreal, Canada |

³⁸

Google LLC, Cambridge, USA |

Publication type: Journal Article

Publication date: 2020-02-03

Springer Nature

Nature Methods

scimago Q1

wos Q1

SJR: 17.251

CiteScore: 49.0

Impact factor: 32.1

ISSN: 15487091, 15487105

DOI: 10.1038/s41592-019-0686-2

Copy DOI

PubMed ID: 32015543

Biochemistry

Molecular Biology

Cell Biology

Biotechnology

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. This Perspective describes the development and capabilities of SciPy 1.0, an open source scientific computing library for the Python programming language.

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Tarasova Ira

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N.N. Semenov Federal Research Center for Chemical Physics of the Russian Academy of Sciences

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Proteomics of tumors and tumor cells (Cancer proteomics)

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Virtanen P. et al. SciPy 1.0: fundamental algorithms for scientific computing in Python // Nature Methods. 2020. Vol. 17. No. 3. pp. 261-272.

GOST all authors (up to 50) Copy

Virtanen P. et al. SciPy 1.0: fundamental algorithms for scientific computing in Python // Nature Methods. 2020. Vol. 17. No. 3. pp. 261-272.

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BibTex (up to 50 authors) Copy

@article{2020_Virtanen,

author = {Pauli Virtanen and Ralf Gommers and Travis E. Oliphant and Matt Haberland and Tyler Reddy and David Cournapeau and Evgeni Burovski and Pearu Peterson and Warren Weckesser and Jonathan Bright and Stéfan van der Walt and Matthew Brett and JOSHUA WILSON and K Jarrod Millman and Nikolay Mayorov and Andrew R. J. Nelson and Eric Jones and ROBERT KERN and Eric Larson and C.J. Carey and İlhan Polat and Yu Feng and Eric W Moore and Jake Vanderplas and Denis Laxalde and Josef Perktold and Robert Cimrman and Ian Henriksen and E. A. Quintero and Charles R Harris and Anne M Archibald and AntOnio H. Ribeiro and Fabian Pedregosa and Paul Van Mulbregt and others},

title = {SciPy 1.0: fundamental algorithms for scientific computing in Python},

journal = {Nature Methods},

year = {2020},

volume = {17},

publisher = {Springer Nature},

month = {feb},

url = {https://doi.org/10.1038/s41592-019-0686-2},

number = {3},

pages = {261--272},

doi = {10.1038/s41592-019-0686-2}

}

MLA

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MLA Copy

Virtanen, Pauli, et al. “SciPy 1.0: fundamental algorithms for scientific computing in Python.” Nature Methods, vol. 17, no. 3, Feb. 2020, pp. 261-272. https://doi.org/10.1038/s41592-019-0686-2.

Publisher

Springer Nature

Journal

Nature Methods

scimago Q1

wos Q1

SJR

17.251

CiteScore

49.0

Impact factor

32.1

ISSN

15487091 (Print)

15487105 (Electronic)