SciPy 1.0: fundamental algorithms for scientific computing in PythonCitation formats

  • External authors:
  • 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

Standard

SciPy 1.0: fundamental algorithms for scientific computing in Python. / Virtanen, Pauli; Gommers, Ralf; Oliphant, Travis E.; Haberland, Matt; Reddy, Tyler; Cournapeau, David; Burovski, Evgeni; Peterson, Pearu; Weckesser, Warren; Bright, Jonathan; Van Der Walt, Stéfan J.; Brett, Matthew; Wilson, Joshua; Millman, K. Jarrod; Mayorov, Nikolay; Nelson, Andrew R. J.; Jones, Eric; Kern, Robert; Larson, Eric; Carey, C J; Polat, İlhan; Feng, Yu; Moore, Eric W.; Vanderplas, Jake; Laxalde, Denis; Perktold, Josef; Cimrman, Robert; Henriksen, Ian; Quintero, E. A.; Harris, Charles R.; Archibald, Anne M.; Ribeiro, Antônio H.; Pedregosa, Fabian; Van Mulbregt, Paul; Tygier, Sam (Collaborator).

In: Nature Methods, 03.02.2020.

Research output: Contribution to journalArticlepeer-review

Harvard

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, I, 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 & Tygier, S 2020, 'SciPy 1.0: fundamental algorithms for scientific computing in Python', Nature Methods. https://doi.org/10.1038/s41592-019-0686-2

APA

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

Vancouver

Virtanen P, Gommers R, Oliphant TE, Haberland M, Reddy T, Cournapeau D et al. SciPy 1.0: fundamental algorithms for scientific computing in Python. Nature Methods. 2020 Feb 3. https://doi.org/10.1038/s41592-019-0686-2

Author

Virtanen, Pauli ; Gommers, Ralf ; Oliphant, Travis E. ; Haberland, Matt ; Reddy, Tyler ; Cournapeau, David ; Burovski, Evgeni ; Peterson, Pearu ; Weckesser, Warren ; Bright, Jonathan ; Van Der Walt, Stéfan J. ; Brett, Matthew ; Wilson, Joshua ; Millman, K. Jarrod ; Mayorov, Nikolay ; Nelson, Andrew R. J. ; Jones, Eric ; Kern, Robert ; Larson, Eric ; Carey, C J ; Polat, İlhan ; Feng, Yu ; Moore, Eric W. ; Vanderplas, Jake ; Laxalde, Denis ; Perktold, Josef ; Cimrman, Robert ; Henriksen, Ian ; Quintero, E. A. ; Harris, Charles R. ; Archibald, Anne M. ; Ribeiro, Antônio H. ; Pedregosa, Fabian ; Van Mulbregt, Paul ; Tygier, Sam. / SciPy 1.0: fundamental algorithms for scientific computing in Python. In: Nature Methods. 2020.

Bibtex

@article{4ab0869039894eae926a14f0a30e7a44,
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 {\.I}lhan 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 Sam Tygier",
year = "2020",
month = feb,
day = "3",
doi = "10.1038/s41592-019-0686-2",
language = "English",
journal = "Nature Methods",
issn = "1548-7091",
publisher = "Springer Nature",

}

RIS

TY - JOUR

T1 - SciPy 1.0: fundamental algorithms for scientific computing in Python

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

A2 - Tygier, Sam

PY - 2020/2/3

Y1 - 2020/2/3

N2 - 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.

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.

U2 - 10.1038/s41592-019-0686-2

DO - 10.1038/s41592-019-0686-2

M3 - Article

JO - Nature Methods

JF - Nature Methods

SN - 1548-7091

ER -