%0 Journal Article
%T SciPy 1.0: fundamental algorithms for scientific computing in Python
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%+ California Polytechnic State University [San Luis Obispo] (CAL POLY)
%+ Los Alamos National Laboratory (LANL)
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%+ Tallinn Technical University
%+ University of California [Berkeley] (UC Berkeley)
%+ University of Birmingham [Birmingham]
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%+ Australian Nuclear Science and Technology Organisation [Australie] (ANSTO)
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%+ Universidade Federal de Minas Gerais [Belo Horizonte] (UFMG)
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%+ Institute of Environmental Physics [Bremen] (IUP)
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%A Virtanen, P.
%A Gommers, R.
%A Oliphant, T.E.
%A Haberland, M.
%A Reddy, T.
%A Cournapeau, D.
%A Burovski, E.
%A Peterson, P.
%A Weckesser, W.
%A Bright, J.
%A Walt, S.J., van Der
%A Brett, M.
%A Wilson, J.
%A Millman, K.J.
%A Mayorov, N.
%A Nelson, A.R.J.
%A Jones, E.
%A Kern, R.
%A Larson, E.
%A Carey, C.J.
%A Polat, I.
%A Feng, Y.
%A Moore, E.W.
%A Vanderplas, J.
%A Laxalde, D.
%A Perktold, J.
%A Cimrman, R.
%A Henriksen, I.
%A Quintero, E.A.
%A Harris, C.R.
%A Archibald, A.M.
%A Ribeiro, A.H.
%A Pedregosa, F.
%A Mulbregt, P., Van
%A Vijaykumar, A.
%A Bardelli, A.P.
%A Rothberg, A.
%A Hilboll, A.
%A Kloeckner, A.
%A Scopatz, A.
%A Lee, A.
%A Rokem, A.
%A Woods, C.N.
%A Fulton, C.
%A Masson, C.
%A Häggström, C.
%A Fitzgerald, C.
%A Nicholson, D.A.
%A Hagen, D.R.
%A Pasechnik, D.V.
%A Olivetti, E.
%A Martin, E.
%A Wieser, E.
%A Lenders, F.
%A Silva, Fabrice
%A Wilhelm, F.
%A Young, G.
%A Price, G.A.
%A Ingold, G.-L.
%A Allen, G.E.
%A Lee, G.R.
%A Audren, H.
%A Probst, Irvin
%A Dietrich, J.P.
%A Silterra, J.
%A Webber, J.T.
%A Slavič, J.
%A Nothman, J.
%A Buchner, J.
%A Kulick, J.
%A Schönberger, J.L.
%A Miranda Cardoso, J.V., De
%A Reimer, J.
%A Harrington, J.
%A Rodríguez, J.L.C.
%A Nunez-Iglesias, J.
%A Kuczynski, J.
%A Tritz, K.
%A Thoma, M.
%A Newville, M.
%A Kümmerer, M.
%A Bolingbroke, M.
%A Tartre, M.
%A Pak, M.
%A Smith, N.J.
%A Nowaczyk, N.
%A Shebanov, N.
%A Pavlyk, O.
%A Brodtkorb, P.A.
%A Lee, P.
%A Mcgibbon, R.T.
%A Feldbauer, R.
%A Lewis, S.
%A Tygier, S.
%A Sievert, S.
%A Vigna, S.
%A Peterson, S.
%A More, S.
%A Pudlik, T.
%A Oshima, T.
%A Pingel, T.J.
%A Robitaille, T.P.
%A Spura, T.
%A Jones, T.R.
%A Cera, T.
%A Leslie, T.
%A Zito, T.
%A Krauss, T.
%A Upadhyay, U.
%A Halchenko, Y.O.
%A Vázquez-Baeza, Y.
%Z 24 February 2020 : An amendment to this paper has been published and can be accessed via a link at the top of the paper.
%< avec comité de lecture
%@ 1548-7091
%J Nature Methods
%I Nature Publishing Group
%V 17
%P 261-272
%8 2020-02-03
%D 2020
%R 10.1038/s41592-019-0686-2
%K Algorithms
%K Python (Computer program language)
%K Scientific computing
%Z Computer Science [cs]
%Z Computer Science [cs]/Numerical Analysis [cs.NA]Journal articles
%X 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.24 February 2020 : An amendment to this paper has been published and can be accessed via a link at the top of the paper.
%G English
%2 https://hal.science/hal-02520043/document
%2 https://hal.science/hal-02520043/file/s41592-019-0686-2.pdf
%L hal-02520043
%U https://hal.science/hal-02520043
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