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SciPy 1.0: fundamental algorithms for scientific computing in Python: 24 February 2020 : An amendment to this paper has been published and can be accessed via a link at the top of the paper.

P. Virtanen 1 R. Gommers T.E. Oliphant M. Haberland T. Reddy D. Cournapeau E. Burovski P. Peterson W. Weckesser J. Bright S.J. Walt M. Brett J. Wilson K.J. Millman N. Mayorov A.R.J. Nelson E. Jones R. Kern 2 E. Larson C.J. Carey I. Polat Y. Feng E.W. Moore J. Vanderplas D. Laxalde 3, 4 J. Perktold R. Cimrman 5 I. Henriksen E.A. Quintero C.R. Harris A.M. Archibald A.H. Ribeiro F. Pedregosa P. Mulbregt A. Vijaykumar A.P. Bardelli A. Rothberg A. Hilboll 6 A. Kloeckner A. Scopatz A. Lee A. Rokem C.N. Woods C. Fulton C. Masson C. Häggström C. Fitzgerald D.A. Nicholson D.R. Hagen D.V. Pasechnik E. Olivetti 7 E. Martin 8 E. Wieser F. Silva F. Lenders F. Wilhelm 9 G. Young G.A. Price G.-L. Ingold G.E. Allen G.R. Lee H. Audren Irvin Probst 10 J.P. Dietrich J. Silterra J.T. Webber J. Slavič J. Nothman J. Buchner 11 J. Kulick J.L. Schönberger J.V. Miranda Cardoso J. Reimer J. Harrington J.L.C. Rodríguez J. Nunez-Iglesias J. Kuczynski K. Tritz M. Thoma M. Newville 12 M. Kümmerer M. Bolingbroke M. Tartre M. Pak N.J. Smith N. Nowaczyk N. Shebanov O. Pavlyk P.A. Brodtkorb P. Lee 13 R.T. Mcgibbon R. Feldbauer S. Lewis 14 S. Tygier S. Sievert S. Vigna S. Peterson S. More T. Pudlik T. Oshima 15 T.J. Pingel T.P. Robitaille T. Spura T.R. Jones T. Cera T. Leslie T. Zito T. Krauss U. Upadhyay Y.O. Halchenko Y. Vázquez-Baeza Contributors Scipy 1.0
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. 24 February 2020 : An amendment to this paper has been published and can be accessed via a link at the top of the paper.
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https://hal.archives-ouvertes.fr/hal-02520043
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Soumis le : jeudi 26 mars 2020 - 13:49:33
Dernière modification le : mardi 30 juin 2020 - 03:05:36

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P. Virtanen, R. Gommers, T.E. Oliphant, M. Haberland, T. Reddy, et al.. SciPy 1.0: fundamental algorithms for scientific computing in Python: 24 February 2020 : An amendment to this paper has been published and can be accessed via a link at the top of the paper.. Nature Methods, 2020, 17, pp.261-272. ⟨10.1038/s41592-019-0686-2⟩. ⟨hal-02520043⟩

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