SciPy 1.0: fundamental algorithms for scientific computing in Python.,Nature Methods

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SciPy 1.0: fundamental algorithms for scientific computing in Python.
Nature Methods ( IF 36.1 ) Pub Date : 2020-02-03 , DOI: 10.1038/s41592-019-0686-2
Pauli Virtanen ₁ , Ralf Gommers ₂ , Travis E Oliphant _{2,

3,

4,

5,

6} , Matt Haberland _{7,

8} , Tyler Reddy ₉ , David Cournapeau ₁₀ , Evgeni Burovski ₁₁ , Pearu Peterson _{12,

13} , Warren Weckesser ₁₄ , Jonathan Bright ₁₅ , Stéfan J van der Walt ₁₄ , Matthew Brett ₁₆ , Joshua Wilson ₁₇ , K Jarrod Millman _{14,

18} , Nikolay Mayorov ₁₉ , Andrew R J Nelson ₂₀ , Eric Jones ₅ , Robert Kern ₅ , Eric Larson ₂₁ , C J Carey ₂₂ , İlhan Polat ₂₃ , Yu Feng ₂₄ , Eric W Moore ₂₅ , Jake VanderPlas ₂₆ , Denis Laxalde ₂₇ , Josef Perktold ₂₈ , Robert Cimrman ₂₉ , Ian Henriksen _{6,

30,

31} , E A Quintero ₃₂ , Charles R Harris _{33,

34} , Anne M Archibald ₃₅ , Antônio H Ribeiro ₃₆ , Fabian Pedregosa ₃₇ , Paul van Mulbregt ₃₈ ,

Affiliation

University of Jyväskylä, Jyväskylä, Finland.
Quansight LLC, Austin, TX, USA.
Ultrasound Imaging, Mayo Clinic, Rochester, MN, USA.
Electrical Engineering, Brigham Young University, Provo, UT, USA.
Enthought, Inc., Austin, TX, USA.
Anaconda Inc., Austin, TX, USA.
BioResource and Agricultural Engineering Department, California Polytechnic State University, San Luis Obispo, CA, USA.
Department of Mathematics, University of California Los Angeles, Los Angeles, CA, USA.
Los Alamos National Laboratory, Los Alamos, NM, USA.
Independent researcher, Tokyo, Japan.
National Research University Higher School of Economics, Moscow, Russia.
Independent researcher, Saue, Estonia.
Department of Mechanics and Applied Mathematics, Institute of Cybernetics at Tallinn Technical University, Tallinn, Estonia.
Berkeley Institute for Data Science, University of California Berkeley, Berkeley, CA, USA.
Independent researcher, New York, NY, USA.
School of Psychology, University of Birmingham, Edgbaston, Birmingham, UK.
Independent researcher, San Francisco, CA, USA.
Division of Biostatistics, University of California Berkeley, Berkeley, CA, USA.
WayRay LLC, Skolkovo Innovation Center, Moscow, Russia.
Australian Nuclear Science and Technology Organisation, Lucas Heights, NSW, Australia.
Institute for Learning and Brain Sciences, University of Washington, Seattle, WA, USA.
College of Information and Computing Sciences, University of Massachusetts Amherst, Amherst, MA, USA.
Independent researcher, Amsterdam, the Netherlands.
Berkeley Center for Cosmological Physics, University of California Berkeley, Berkeley, CA, USA.
Bruker Biospin Corp., Billerica, MA, USA.
University of Washington, Seattle, WA, USA.
Independent researcher, Toulouse, France.
Independent researcher, Montreal, Quebec, Canada.
New Technologies Research Centre, University of West Bohemia, Plzeň, Czech Republic.
Department of Mathematics, Brigham Young University, Provo, UT, USA.
Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX, USA.
Independent researcher, Belmont, Massachusetts, USA.
Space Dynamics Laboratory, North Logan, UT, USA.
Independent researcher, Logan, Utah, USA.
Anton Pannekoek Institute, Amsterdam, The Netherlands.
Graduate Program in Electrical Engineering, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Google LLC, Montreal, Quebec, Canada.
Google LLC, Cambridge, MA, USA.

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.

中文翻译：

SciPy 1.0：Python 中科学计算的基本算法。

SciPy 是 Python 编程语言的开源科学计算库。自 2001 年首次发布以来，SciPy 已成为利用 Python 科学算法的事实上的标准，拥有超过 600 个独特的代码贡献者、数千个依赖包、超过 100,000 个依赖存储库以及每年数百万次的下载。在这项工作中，我们概述了 SciPy 1.0 的功能和开发实践，并重点介绍了一些最新的技术发展。

更新日期：2020-02-04

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