Monash University Research Portal (Monash University)· 2019· Dissertation
SciPy 1.0: fundamental algorithms for scientific computing in Python
- 11,591citations
- 2019year
Short summary
SciPy 1.0, a foundational open-source library for Python, has become the standard for scientific algorithms, boasting over 600 contributors and millions of annual downloads.
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Key points
- SciPy 1.0 is a core open-source library for scientific computing in Python.
- It has been the standard for scientific algorithms in Python since its initial release in 2001.
- The library has over 600 unique code contributors.
- SciPy has a vast ecosystem with thousands of dependent packages and over 100,000 dependent repositories.
- It experiences millions of downloads per year.
AI-generated from the title and abstract; the full text is not read.
Abstract
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.
The authors' abstract, as published at the source. Monash University Research Portal (Monash University), 2019 · DOI ↗
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Field: Artificial Intelligence
Artificial IntelligenceComputer Science