Virtanen, Pauli; Gommers, Ralf; Oliphant, Travis; Haberland, Matt; Reddy, Tyler; Cournapeau, David; Burovski, Evgeni; Peterson, Pearu; Weckesser, Warren; Bright, Jonathan; van der Walt, Stéfan; Brett, Matthew; Wilson, Joshua; Millman, K; Mayorov, Nikolay; Nelson, Andrew; Jones, Eric; Kern, Robert; Larson, Eric; Carey, C; Polat, İlhan; Feng, Yu; Moore, Eric; VanderPlas, Jake; Laxalde, Denis; Perktold, Josef; Cimrman, Robert; Henriksen, Ian; Quintero, E; Harris, Charles; Archibald, Anne; Ribeiro, Antônio; Pedregosa, Fabian; van Mulbregt, Paul

doi:10.1038/s41592-019-0686-2

SciPy 1.0: fundamental algorithms for scientific computing in Python.

Published Web Location

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

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.

Many UC-authored scholarly publications are freely available on this site because of the UC's open access policies. Let us know how this access is important for you.

Main Content

For improved accessibility of PDF content, download the file to your device.

UC Berkeley

SciPy 1.0: fundamental algorithms for scientific computing in Python.

Published Web Location