SciPy 1.0: fundamental algorithms for scientific computing in Python
Published version
Peer-reviewed
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Repository DOI
Type
Article
Change log
Authors
Virtanen, Pauli
Gommers, Ralf https://orcid.org/0000-0002-0300-3333
Oliphant, Travis E.
Haberland, Matt https://orcid.org/0000-0003-4806-3601
Reddy, Tyler https://orcid.org/0000-0003-2364-6157
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.
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Keywords
Perspective, /631/114, /631/45/56, /706/703/559, perspective
Journal Title
Nature Methods
Conference Name
Journal ISSN
1548-7091
1548-7105
1548-7105
Volume Title
17
Publisher
Nature Publishing Group US