SciPy 1.0: fundamental algorithms for scientific computing in Python

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 depe...

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Vydané v:Nature methods Ročník 17; číslo 3; s. 261 - 272
Hlavní autori: Virtanen, Pauli, Gommers, Ralf, Oliphant, Travis E., Haberland, Matt, Reddy, Tyler, Cournapeau, David, Burovski, Evgeni, Peterson, Pearu, Weckesser, Warren, Bright, Jonathan, van der Walt, Stéfan J., Brett, Matthew, Wilson, Joshua, Millman, K. Jarrod, Mayorov, Nikolay, Nelson, Andrew R. J., Jones, Eric, Kern, Robert, Larson, Eric, Carey, C J, Polat, İlhan, Feng, Yu, Moore, Eric W., VanderPlas, Jake, Laxalde, Denis, Perktold, Josef, Cimrman, Robert, Henriksen, Ian, Quintero, E. A., Harris, Charles R., Archibald, Anne M., Ribeiro, Antônio H., Pedregosa, Fabian, van Mulbregt, Paul
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York Nature Publishing Group US 01.03.2020
Nature Publishing Group
Predmet:
631/114
631/45/56
706/703/559
Algorithms
Bioinformatics
Biological Microscopy
Biological Techniques
Biomedical and Life Sciences
Biomedical Engineering/Biotechnology
Computation
Computational Biology - history
Computational Biology - methods
Computational Physics
Computer Science
Computer Simulation
Data Structures and Algorithms
History, 20th Century
History, 21st Century
Libraries
Life Sciences
Linear Models
Mathematical Software
Models, Biological
Nonlinear Dynamics
Numerical Analysis
Perspective
Programming Languages
Proteomics
Python
Signal Processing, Computer-Assisted
Software
Software Engineering
Scientific computing
Algorithms
Python (Computer program language)
ISSN:1548-7091, 1548-7105, 1548-7105
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Popis
Shrnutí: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. This Perspective describes the development and capabilities of SciPy 1.0, an open source scientific computing library for the Python programming language.
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USDOE
LA-UR--19-29085
89233218CNA000001
ISSN:1548-7091
1548-7105
1548-7105
DOI:10.1038/s41592-019-0686-2