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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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2020
Materias:
Perspective
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7056644/
https://www.ncbi.nlm.nih.gov/pubmed/32015543
http://dx.doi.org/10.1038/s41592-019-0686-2
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author 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
author_facet 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
author_sort Virtanen, Pauli
collection PubMed
description 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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spelling pubmed-70566442020-03-06 SciPy 1.0: fundamental algorithms for scientific computing in Python 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 Nat Methods Perspective 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. Nature Publishing Group US 2020-02-03 2020 /pmc/articles/PMC7056644/ /pubmed/32015543 http://dx.doi.org/10.1038/s41592-019-0686-2 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Perspective
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
SciPy 1.0: fundamental algorithms for scientific computing in Python
title SciPy 1.0: fundamental algorithms for scientific computing in Python
title_full SciPy 1.0: fundamental algorithms for scientific computing in Python
title_fullStr SciPy 1.0: fundamental algorithms for scientific computing in Python
title_full_unstemmed SciPy 1.0: fundamental algorithms for scientific computing in Python
title_short SciPy 1.0: fundamental algorithms for scientific computing in Python
title_sort scipy 1.0: fundamental algorithms for scientific computing in python
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7056644/
https://www.ncbi.nlm.nih.gov/pubmed/32015543
http://dx.doi.org/10.1038/s41592-019-0686-2
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