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; Warren Weckesser; Jonathan Bright; Stéfan J. van der Walt; Matthew Brett; Joshua Wilson; K. Jarrod Millman; Nikolay Mayorov; Andrew R.J. Nelson; Eric Jones; Robert Kern; Eric Larson; C. J. Carey; İlhan Polat; Yu Feng; Eric W. Moore; Jake VanderPlas; Denis Laxalde; Josef Perktold; Robert Cimrman; Ian Henriksen; E. A. Quintero; Charles R. Harris; Anne M. Archibald; Antônio H. Ribeiro; Fabian Pedregosa; Paul van Mulbregt; Aditya Vijaykumar; Alessandro Pietro Bardelli; Alex Rothberg; Andreas Hilboll; Andreas Kloeckner; Anthony Scopatz; Antony Lee; Ariel Rokem; C. Nathan Woods; Chad Fulton; Charles Masson; Christian Häggström; Clark Fitzgerald; David A. Nicholson; David R. Hagen; Dmitrii V. Pasechnik

doi:10.1038/s41592-019-0686-2

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
, Warren Weckesser
, Jonathan Bright
, Stéfan J. van der Walt
, Matthew Brett
, Joshua Wilson
, K. Jarrod Millman
, Nikolay Mayorov
, Andrew R.J. Nelson
, Eric Jones
, Robert Kern
, Eric Larson
, C. J. Carey

İlhan Polat, Yu Feng, Eric W. Moore, Jake VanderPlas, Denis Laxalde, Josef Perktold, Robert Cimrman, Ian Henriksen, E. A. Quintero, Charles R. Harris, Anne M. Archibald, Antônio H. Ribeiro, Fabian Pedregosa, Paul van Mulbregt, Aditya Vijaykumar, Alessandro Pietro Bardelli, Alex Rothberg, Andreas Hilboll, Andreas Kloeckner, Anthony Scopatz, Antony Lee, Ariel Rokem, C. Nathan Woods, Chad Fulton, Charles Masson, Christian Häggström, Clark Fitzgerald, David A. Nicholson, David R. Hagen, Dmitrii V. Pasechnik

Research output: Contribution to journal › Article › peer-review

34206 Scopus citations

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.

Original language	English
Pages (from-to)	261-272
Number of pages	12
Journal	Nature Methods
Volume	17
Issue number	3
DOIs	https://doi.org/10.1038/s41592-019-0686-2
State	Published - Mar 1 2020
Externally published	Yes

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Virtanen, P., Gommers, R., Oliphant, T. E., Haberland, M., Reddy, T., Cournapeau, D., Burovski, E., Peterson, P., Weckesser, W., Bright, J., van der Walt, S. J., Brett, M., Wilson, J., Millman, K. J., Mayorov, N., Nelson, A. R. J., Jones, E., Kern, R., Larson, E., ... Pasechnik, D. V. (2020). SciPy 1.0: fundamental algorithms for scientific computing in Python. Nature Methods, 17(3), 261-272. https://doi.org/10.1038/s41592-019-0686-2

@article{20c85ae8b04e4138a7878caacbf57a90,

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

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.",

author = "Pauli Virtanen and Ralf Gommers and Oliphant, \{Travis E.\} and Matt Haberland and Tyler Reddy and David Cournapeau and Evgeni Burovski and Pearu Peterson and Warren Weckesser and Jonathan Bright and \{van der Walt\}, \{St{\'e}fan J.\} and Matthew Brett and Joshua Wilson and Millman, \{K. Jarrod\} and Nikolay Mayorov and Nelson, \{Andrew R.J.\} and Eric Jones and Robert Kern and Eric Larson and Carey, \{C. J.\} and İlhan Polat and Yu Feng and Moore, \{Eric W.\} and Jake VanderPlas and Denis Laxalde and Josef Perktold and Robert Cimrman and Ian Henriksen and Quintero, \{E. A.\} and Harris, \{Charles R.\} and Archibald, \{Anne M.\} and Ribeiro, \{Ant{\^o}nio H.\} and Fabian Pedregosa and \{van Mulbregt\}, Paul and Aditya Vijaykumar and Bardelli, \{Alessandro Pietro\} and Alex Rothberg and Andreas Hilboll and Andreas Kloeckner and Anthony Scopatz and Antony Lee and Ariel Rokem and Woods, \{C. Nathan\} and Chad Fulton and Charles Masson and Christian H{\"a}ggstr{\"o}m and Clark Fitzgerald and Nicholson, \{David A.\} and Hagen, \{David R.\} and Pasechnik, \{Dmitrii V.\}",

note = "Publisher Copyright: {\textcopyright} 2020, The Author(s).",

year = "2020",

month = mar,

day = "1",

doi = "10.1038/s41592-019-0686-2",

language = "English",

volume = "17",

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journal = "Nature Methods",

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Virtanen, P, Gommers, R, Oliphant, TE, Haberland, M, Reddy, T, Cournapeau, D, Burovski, E, Peterson, P, Weckesser, W, Bright, J, van der Walt, SJ, Brett, M, Wilson, J, Millman, KJ, Mayorov, N, Nelson, ARJ, Jones, E, Kern, R, Larson, E, Carey, CJ, Polat, İ, Feng, Y, Moore, EW, VanderPlas, J, Laxalde, D, Perktold, J, Cimrman, R, Henriksen, I, Quintero, EA, Harris, CR, Archibald, AM, Ribeiro, AH, Pedregosa, F, van Mulbregt, P, Vijaykumar, A, Bardelli, AP, Rothberg, A, Hilboll, A, Kloeckner, A, Scopatz, A, Lee, A, Rokem, A, Woods, CN, Fulton, C, Masson, C, Häggström, C, Fitzgerald, C, Nicholson, DA, Hagen, DR & Pasechnik, DV 2020, 'SciPy 1.0: fundamental algorithms for scientific computing in Python', Nature Methods, vol. 17, no. 3, pp. 261-272. https://doi.org/10.1038/s41592-019-0686-2

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AU - Virtanen, Pauli

AU - Gommers, Ralf

AU - Oliphant, Travis E.

AU - Haberland, Matt

AU - Reddy, Tyler

AU - Cournapeau, David

AU - Burovski, Evgeni

AU - Peterson, Pearu

AU - Weckesser, Warren

AU - Bright, Jonathan

AU - van der Walt, Stéfan J.

AU - Brett, Matthew

AU - Wilson, Joshua

AU - Millman, K. Jarrod

AU - Mayorov, Nikolay

AU - Nelson, Andrew R.J.

AU - Jones, Eric

AU - Kern, Robert

AU - Larson, Eric

AU - Carey, C. J.

AU - Polat, İlhan

AU - Feng, Yu

AU - Moore, Eric W.

AU - VanderPlas, Jake

AU - Laxalde, Denis

AU - Perktold, Josef

AU - Cimrman, Robert

AU - Henriksen, Ian

AU - Quintero, E. A.

AU - Harris, Charles R.

AU - Archibald, Anne M.

AU - Ribeiro, Antônio H.

AU - Pedregosa, Fabian

AU - van Mulbregt, Paul

AU - Vijaykumar, Aditya

AU - Bardelli, Alessandro Pietro

AU - Rothberg, Alex

AU - Hilboll, Andreas

AU - Kloeckner, Andreas

AU - Scopatz, Anthony

AU - Lee, Antony

AU - Rokem, Ariel

AU - Woods, C. Nathan

AU - Fulton, Chad

AU - Masson, Charles

AU - Häggström, Christian

AU - Fitzgerald, Clark

AU - Nicholson, David A.

AU - Hagen, David R.

AU - Pasechnik, Dmitrii V.

PY - 2020/3/1

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AB - 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.

UR - https://www.scopus.com/pages/publications/85079119586

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DO - 10.1038/s41592-019-0686-2

M3 - Article

C2 - 32015543

AN - SCOPUS:85079119586

SN - 1548-7091

VL - 17

SP - 261

EP - 272

JO - Nature Methods

JF - Nature Methods

IS - 3

ER -

SciPy 1.0: fundamental algorithms for scientific computing in Python

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