SciPy 1.0: fundamental algorithms for scientific computing in Python
Pauli Virtanen(University of Jyväskylä), Ralf Gommers(Quansight (United States)), Travis E. Oliphant(Quansight (United States)), Matt Haberland(California Polytechnic State University), Tyler Reddy(Los Alamos National Laboratory), David Cournapeau, Evgeni Burovski(National Research University Higher School of Economics), Pearu Peterson(Tallinn University of Technology), Warren Weckesser(University of California, Berkeley), Jonathan Bright, Stéfan 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 Nelson(Australian Nuclear Science and Technology Organisation), Eric D. Jones(Enthought (United States)), Robert Kern(Enthought (United States)), Eric R. Larson(University of Washington), CJ Carey(Amherst College), İlhan Polat, Yu Feng(University of California, Berkeley), Eric Moore(Bruker (United States)), Jake Vanderplas(University of Washington), Denis Laxalde, Josef Perktold, Robert Cimrman(University of West Bohemia in Pilsen), Ian Henriksen(Brigham Young University), E. A. Quintero, C. R. Harris(Utah State University Space Dynamics Laboratory), Anne M. Archibald, Antônio H. Ribeiro(Universidade Federal de Minas Gerais), Fabian Pedregosa(Google (Canada)), Paul van Mulbregt(Google (United States)), A. Vijaykumar(Tata Institute of Fundamental Research)
Cited by 11,585Open Access
Abstract
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.
Related Papers
No related papers found
Powered by citation graph analysis