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SciPy 1.0: fundamental algorithms for scientific computing in Python

Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson 等 112 位

University of Jyväskylä　Quansight (United States)　Brigham Young University　Mayo Clinic

来源Nature Methods

年份2020

DOI10.1038/s41592-019-0686-2

原文https://doi.org/10.1038/s41592-019-0686-2

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摘要与影响

摘要 · 完整

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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学术脉络

学科主题

计算机 / AI

Computational Physics and Python Applications

Scientific Computing and Data Management · Modeling and Simulation Systems

参考文献 70

Trust Region Methods

Andrew R. Conn, Nicholas I. M. Gould, Philippe L. Toint · Society for Industrial and Applied Mathematics eBooks · 2000

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User guide for MINPACK-1. [In FORTRAN]

IL (United States) Argonne National Lab., Jorge J. Morè, USDOE · 1980

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The nonlinear programming method of Wilson, Han, and Powell with an augmented Lagrangian type line search function

Klaus Schittkowski · Numerische Mathematik · 1982

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Array programming with NumPy

Charles R. Harris, K. Jarrod Millman, Stéfan J. van der Walt · Nature · 2020

被引 24,176

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Harris, CR, KJ Millman, Stéfan van der Walt · RePEc: Research Papers in Economics · 2020

被引 18,461

The Astropy Project : Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package*

The Astropy Collaboration, Adrian M. Price-Whelan, Pey Lian Lim · Repository of the Academy's Library (Library of the Hungarian Academy of Sciences) · 2022

被引 5,016

按被引量排序，此处列出前 3 条

SciPy 1.0: fundamental algorithms for scientific computing in Python

Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson 等 112 位

University of Jyväskylä　Quansight (United States)　Brigham Young University　Mayo Clinic

摘要与影响

摘要 · 完整

逐年被引趋势

8,4244,2120

8,42425

关键指标

40,041

被引次数 · OpenAlex

1684.82

领域内被引倍数
同类平均 = 1

前 0.1%

引用位次
同领域 · 同年份 · 同类型

参考文献

Google Scholar 与 OpenAlex 的被引统计范围不同，数值存在差异属正常。

学术脉络

学科主题

计算机 / AI

Computational Physics and Python Applications

Scientific Computing and Data Management · Modeling and Simulation Systems

参考文献 70

Trust Region Methods

Andrew R. Conn, Nicholas I. M. Gould, Philippe L. Toint · Society for Industrial and Applied Mathematics eBooks · 2000

被引 3,017

User guide for MINPACK-1. [In FORTRAN]

IL (United States) Argonne National Lab., Jorge J. Morè, USDOE · 1980

被引 591

The nonlinear programming method of Wilson, Han, and Powell with an augmented Lagrangian type line search function

Klaus Schittkowski · Numerische Mathematik · 1982

被引 274

此处列出前 3 条

引用本文 40,041

Array programming with NumPy

Charles R. Harris, K. Jarrod Millman, Stéfan J. van der Walt · Nature · 2020

被引 24,176

Array programming with NumPy

Harris, CR, KJ Millman, Stéfan van der Walt · RePEc: Research Papers in Economics · 2020

被引 18,461

The Astropy Project : Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package*

The Astropy Collaboration, Adrian M. Price-Whelan, Pey Lian Lim · Repository of the Academy's Library (Library of the Hungarian Academy of Sciences) · 2022

被引 5,016

按被引量排序，此处列出前 3 条