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SciPy 1.0: fundamental algorithms for scientific computing in Python

Nature Methods · 2020 · Vol. 17(3) · pp. 261–272

Pauli Virtanen✉(University of Jyväskylä)Ralf Gommers(Quansight (United States))Travis E. Oliphant(Brigham Young University)Matt Haberland(California Polytechnic State University)Tyler Reddy(Los Alamos National Laboratory)David CournapeauEvgeni Burovski(National Research University Higher School of Economics)Pearu Peterson(Tallinn University of Technology)Warren Weckesser(University of California, Berkeley)Jonathan BrightStéfan J. van der Walt(University of California, Berkeley)Matthew Brett(University of Birmingham)Joshua Wilson(Film Independent)K. Jarrod Millman(University of California, Berkeley)Nikolay Mayorov(WayRay (Russia))Andrew R. J. Nelson(Australian Nuclear Science and Technology Organisation)Eric Jones(Enthought (United States))Robert Kern(Enthought (United States))Eric Larson(University of Washington)C J Carey(Amherst College)İlhan PolatYu Feng(University of California, Berkeley)Eric W. Moore(Bruker (United States))Jake VanderPlas(University of Washington)Denis LaxaldeJosef PerktoldRobert Cimrman(University of West Bohemia in Pilsen)Ian Henriksen(Brigham Young University)E. A. QuinteroCharles R. Harris(Utah State University Space Dynamics Laboratory)Anne M. ArchibaldAntônio H. Ribeiro(Universidade Federal de Minas Gerais)Fabian Pedregosa(Google (Canada))Paul van Mulbregt(Google (United States))SciPy 1.0 ContributorsAditya VijaykumarAlessandro Pietro BardelliAlex RothbergAndreas HilbollAndreas KloecknerAnthony ScopatzAntony LeeAriel RokemC. Nathan WoodsChad FultonCharles MassonChristian HäggströmClark FitzgeraldDavid A. NicholsonDavid R. HagenDmitrii V. PasechnikEmanuele OlivettiEric MartinEric WieserFabrice SilvaFelix LendersFlorian WilhelmG. YoungGavin A. PriceGert-Ludwig IngoldGregory E. AllenGregory R. LeeHervé AudrenIrvin ProbstJörg P. DietrichJacob SilterraJames T WebberJanko SlavičJoel NothmanJohannes BuchnerJohannes KulickJohannes L. SchönbergerJosé Vinícius de Miranda CardosoJoscha ReimerJoseph HarringtonJuan Luis Cano RodríguezJuan Nunez-IglesiasJustin KuczynskiKevin TritzMartin ThomaMatthew NewvilleMatthias KümmererMaximilian BolingbrokeMichael TartreMikhail PakNathaniel J. SmithNikolai NowaczykNikolay ShebanovOleksandr PavlykPer A. BrodtkorbPerry LeeRobert T. McGibbonRoman FeldbauerSam LewisSam TygierScott SievertSebastiano VignaStefan PetersonSurhud MoreTadeusz PudlikTakuya OshimaThomas J. PingelThomas P. RobitailleThomas SpuraThouis R. JonesTim CeraTim LeslieTiziano ZitoTom KraussUtkarsh UpadhyayYaroslav O. HalchenkoYoshiki Vázquez-Baeza

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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.

Computational Physics and Python Applications Scientific Computing and Data Management Genetics, Bioinformatics, and Biomedical ResearchPython (programming language)Code (set theory)Source codeDe factoFunction (biology)

MeSH terms

AlgorithmsComputer SimulationModels, BiologicalProgramming LanguagesSignal Processing, Computer-AssistedSoftwareLinear ModelsNonlinear DynamicsComputational BiologyHistory, 20th CenturyHistory, 21st Century