SciPy 1.0: fundamental algorithms for scientific computing in Python
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Published:2020-02-03
Issue:3
Volume:17
Page:261-272
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ISSN:1548-7091
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Container-title:Nature Methods
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language:en
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Short-container-title:Nat Methods
Author:
Virtanen Pauli, Gommers RalfORCID, Oliphant Travis E., Haberland MattORCID, Reddy TylerORCID, Cournapeau David, Burovski Evgeni, Peterson Pearu, Weckesser Warren, Bright Jonathan, van der Walt Stéfan J.ORCID, Brett Matthew, Wilson Joshua, Millman K. JarrodORCID, Mayorov Nikolay, Nelson Andrew R. J.ORCID, Jones Eric, Kern Robert, Larson Eric, Carey C J, Polat İlhan, Feng Yu, Moore Eric W., VanderPlas Jake, Laxalde DenisORCID, Perktold Josef, Cimrman Robert, Henriksen Ian, Quintero E. A., Harris Charles R., Archibald Anne M., Ribeiro Antônio H.ORCID, Pedregosa Fabian, van Mulbregt PaulORCID, Vijaykumar Aditya, Bardelli Alessandro Pietro, Rothberg Alex, Hilboll Andreas, Kloeckner Andreas, Scopatz Anthony, Lee Antony, Rokem Ariel, Woods C. Nathan, Fulton Chad, Masson Charles, Häggström Christian, Fitzgerald Clark, Nicholson David A., Hagen David R., Pasechnik Dmitrii V., Olivetti Emanuele, Martin Eric, Wieser Eric, Silva Fabrice, Lenders Felix, Wilhelm Florian, Young G., Price Gavin A., Ingold Gert-Ludwig, Allen Gregory E., Lee Gregory R., Audren Hervé, Probst Irvin, Dietrich Jörg P., Silterra Jacob, Webber James T, Slavič Janko, Nothman Joel, Buchner Johannes, Kulick Johannes, Schönberger Johannes L., de Miranda Cardoso José Vinícius, Reimer Joscha, Harrington Joseph, Rodríguez Juan Luis Cano, Nunez-Iglesias Juan, Kuczynski Justin, Tritz Kevin, Thoma Martin, Newville Matthew, Kümmerer Matthias, Bolingbroke Maximilian, Tartre Michael, Pak Mikhail, Smith Nathaniel J., Nowaczyk Nikolai, Shebanov Nikolay, Pavlyk Oleksandr, Brodtkorb Per A., Lee Perry, McGibbon Robert T., Feldbauer Roman, Lewis Sam, Tygier Sam, Sievert Scott, Vigna Sebastiano, Peterson Stefan, More Surhud, Pudlik Tadeusz, Oshima Takuya, Pingel Thomas J., Robitaille Thomas P., Spura Thomas, Jones Thouis R., Cera Tim, Leslie Tim, Zito Tiziano, Krauss Tom, Upadhyay Utkarsh, Halchenko Yaroslav O., Vázquez-Baeza Yoshiki,
Abstract
AbstractSciPy 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.
Publisher
Springer Science and Business Media LLC
Subject
Cell Biology,Molecular Biology,Biochemistry,Biotechnology
Reference122 articles.
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