Python(编程语言)
计算机科学
编码(集合论)
理论计算机科学
计算科学
源代码
程序设计语言
事实上
算法
功能(生物学)
软件
数据科学
作者
Pauli Virtanen,Ralf Gommers,Travis E. Oliphant,Matt Haberland,Tyler Reddy,David Cournapeau,Evgeni Burovski,Pearu Peterson,Warren Weckesser,Jonathan Bright,Stéfan J. van der Walt,Matthew Brett,Joshua Wilson,K. Jarrod Millman,Nikolay Mayorov,Andrew R. J. Nelson,Eric Jones,Robert Kern,Eric Larson,C J Carey
出处
期刊:Nature Methods
[Nature Portfolio]
日期:2020-02-03
卷期号:17 (3): 261-272
被引量:39738
标识
DOI:10.1038/s41592-019-0686-2
摘要
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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