SciPy 1.0: fundamental algorithms for scientific computing in Python
Loading...
Date
Editor
Advisor
Volume
17
Issue
3
Journal
Nature Methods
Series Titel
Book Title
Publisher
London [u.a.] : Nature Publishing Group
Supplementary Material
Other Versions
Link to publishers' Version
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.
Description
Keywords
Algorithms, Computational Biology, Computer Simulation, History, 20th Century, History, 21st Century, Linear Models, Models, Biological, Nonlinear Dynamics, Programming Languages, Signal Processing, Computer-Assisted, Software, algorithm, article, human, human experiment, biological model, biology, computer language, computer simulation, history, nonlinear system, procedures, signal processing, software, statistical model
Keywords GND
Conference
Publication Type
Article
Version
publishedVersion
Collections
License
CC BY 4.0 Unported