SciPy 1.0: fundamental algorithms for scientific computing in Python

Nat Methods. 2020 Mar;17(3):261-272. doi: 10.1038/s41592-019-0686-2. Epub 2020 Feb 3.


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.

Publication types

  • Historical Article
  • Review

MeSH terms

  • Algorithms*
  • Computational Biology / history
  • Computational Biology / methods*
  • Computer Simulation
  • History, 20th Century
  • History, 21st Century
  • Linear Models
  • Models, Biological
  • Nonlinear Dynamics
  • Programming Languages*
  • Signal Processing, Computer-Assisted
  • Software*