Nature Methods· 2020Q1
SciPy 1.0: fundamental algorithms for scientific computing in Python
- 38,420citations
- Q1SCImago
- 2020year
Short summary
SciPy 1.0 marks a significant milestone for the open-source Python library, solidifying its role as a de facto standard for scientific computing with over a decade of development and widespread adoption.
AI-generated from the title and abstract; the full text is not read.
Key points
- SciPy is a core open-source library for scientific computing in Python.
- It has over 600 unique code contributors and thousands of dependent packages.
- Millions of downloads per year indicate widespread adoption.
- SciPy 1.0 provides an overview of its capabilities and recent technical developments.
AI-generated from the title and abstract; the full text is not read.
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. Nature Methods, 2020 · DOI ↗
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Field: Artificial Intelligence
Artificial IntelligenceComputer Science