SciPy 1.0: fundamental algorithms for scientific computing in Python
SciPy 1.0: fundamental algorithms for scientific computing in Python
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DOI：
10.1038/s41592-019-0686-2
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发表时间：
2020-02-03
期刊：
影响因子：
48
通讯作者：
van Mulbregt, Paul
中科院分区：
文献类型：
--
作者：
Virtanen, Pauli;Gommers, Ralf;van Mulbregt, Paul
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已经成为在Python中利用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个依赖存储库和每年数百万次的下载。在本文中，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近的技术发展。这个视角描述了SciPy 1.0的开发和功能，SciPy 1.0是Python编程语言的开源科学计算库。
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.