SciPy 1.0: fundamental algorithms for scientific computing in Python

Abstract

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.

MeSH Terms

Affiliated Institutions

• Enthought (United States) US
• University of California, Berkeley US
• Los Alamos National Laboratory US
• University of California, Los Angeles US
• University of Jyväskylä FI
• WayRay (Russia) RU
• Bruker (United States) US
• Tallinn University of Technology EE
• University of Birmingham GB
• Brigham Young University US
• University of West Bohemia CZ
• National Research University Higher School of Economics RU
• Skolkovo Foundation RU
• University of Washington US
• Seattle University US
• Utah State University Space Dynamics Laboratory
• Universidade Federal de Minas Gerais BR
• Australian Nuclear Science and Technology Organisation AU
• The University of Texas at Austin US

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