SciPy 1.0: fundamental algorithms for scientific computing in Python.
review · Level V
Where this comes from
- Record sourced from PubMed, PMID 32015543.
- Also identified by DOI 10.1038/s41592-019-0686-2 and PMC identifier 7056644.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
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.
Medical subject headings
- Algorithms
- Computational Biology
- Programming Languages
- Software