SciPy 1.0: fundamental algorithms for scientific computing in Python
Pauli VirtanenUniversity of Jyväskylä, Jyväskylä, FinlandRalf GommersQuansight LLC, Austin, TX, USA. [email protected]Travis E. OliphantAnaconda Inc., Austin, TX, USAMatt HaberlandBioResource and Agricultural Engineering Department, California Polytechnic State University, San Luis Obispo, CA, USA. [email protected]Tyler ReddyLos Alamos National Laboratory, Los Alamos, NM, USA. [email protected]David CournapeauEvgeni BurovskiNational Research University Higher School of Economics, Moscow, RussiaPearu PetersonDepartment of Mechanics and Applied Mathematics, Institute of Cybernetics at Tallinn Technical University, Tallinn, EstoniaWarren WeckesserBerkeley Institute for Data Science, University of California Berkeley, Berkeley, CA, USAJonathan BrightStéfan J. van der WaltBerkeley Institute for Data Science, University of California Berkeley, Berkeley, CA, USAMatthew BrettSchool of Psychology, University of Birmingham, Edgbaston, Birmingham, UKJoshua WilsonIndependent researcher, San Francisco, CA, USAK. Jarrod MillmanBerkeley Institute for Data Science, University of California Berkeley, Berkeley, CA, USANikolay MayorovWayRay LLC, Skolkovo Innovation Center, Moscow, RussiaAndrew R. J. NelsonAustralian Nuclear Science and Technology Organisation, Lucas Heights, NSW, AustraliaEric JonesEnthought, Inc., Austin, TX, USARobert KernEnthought, Inc., Austin, TX, USAEric LarsonInstitute for Learning and Brain Sciences, University of Washington, Seattle, WA, USAC J CareyCollege of Information and Computing Sciences, University of Massachusetts Amherst, Amherst, MA, USAİlhan PolatYu FengBerkeley Center for Cosmological Physics, University of California Berkeley, Berkeley, CA, USAEric W. MooreBruker Biospin Corp., Billerica, MA, USAJake VanderPlasUniversity of Washington, Seattle, WA, USADenis LaxaldeJosef PerktoldRobert CimrmanNew Technologies Research Centre, University of West Bohemia, Plzeň, Czech RepublicIan HenriksenAnaconda Inc., Austin, TX, USAE. A. QuinteroCharles R. HarrisIndependent researcher, Logan, Utah, USAAnne M. ArchibaldAntônio H. RibeiroGraduate Program in Electrical Engineering, Universidade Federal de Minas Gerais, Belo Horizonte, BrazilFabian PedregosaGoogle LLC, Montreal, Quebec, CanadaPaul van MulbregtGoogle LLC, Cambridge, MA, USASciPy 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 Pudlik
2020en
ABI
Аннотация
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.
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