SciPy 1.0: fundamental algorithms for scientific computing in Python
Pauli VirtanenUniversity of Jyväskylä, Jyväskylä, FinlandRalf GommersQuansight LLC, Austin, TX, USATravis E. OliphantQuansight LLC, Austin, TX, USAMatt HaberlandDepartment of Mathematics, University of California Los Angeles, Los Angeles, CA, USATyler ReddyLos Alamos National Laboratory, Los Alamos, NM, USADavid 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 D. JonesEnthought, Inc., Austin, TX, USARobert KernEnthought, Inc., Austin, TX, USAEric R. LarsonInstitute for Learning and Brain Sciences, University of Washington, Seattle, WA, USACJ 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 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 HenriksenOden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX, USAE. A. QuinteroC. 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, USAA. VijaykumarDepartment of Physics, Birla Institute of Technology and Science, Pilani, India
2019en
ABI
Аннотация
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.
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