SciPy 1.0: fundamental algorithms for scientific computing in Python

SciPy 1.0 Contributors

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)261-272
Number of pages12
JournalNature Methods
Volume17
Issue number3
DOIs
StatePublished - Mar 1 2020

ASJC Scopus subject areas

  • Biotechnology
  • Biochemistry
  • Molecular Biology
  • Cell Biology

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