# SciPy 1.0: fundamental algorithms for scientific computing in Python

“SciPy 1.0: fundamental algorithms for scientific computing in Python” (2020), by Pauli Virtanen et al. Computer Science research paper. Original abstract below, unchanged. A free PDF is available.

- Authors: Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright et al.
- Published: February 3, 2020
- Field: Computer Science
- DOI: https://doi.org/10.1038/s41592-019-0686-2
- Free PDF: https://arxiv.org/pdf/1907.10121

## 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.

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