SciPy 1.0: fundamental algorithms for scientific computing in Python
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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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The record
- Venue
- Nature Methods
- Topic
- Computational Physics and Python Applications
- Field
- Computer Science
- Canadian institutions
- Google (Canada)
- Funders
- Los Alamos National LaboratoryScience and Technology Facilities CouncilNational Nuclear Security AdministrationU.S. Department of Energy
- Keywords
- Python (programming language)Code (set theory)Source codeDe factoFunction (biology)
- Has abstract in OpenAlex
- yes