sympy: symbolic computing in python

Clicks: 232
ID: 180359
2017
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Abstract
SymPy is an open source computer algebra system written in pure Python. It is built with a focus on extensibility and ease of use, through both interactive and programmatic applications. These characteristics have led SymPy to become a popular symbolic library for the scientific Python ecosystem. This paper presents the architecture of SymPy, a description of its features, and a discussion of select submodules. The supplementary material provide additional examples and further outline details of the architecture and features of SymPy.
Reference Key
meurer2017peerjsympy: Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Aaron Meurer;Christopher P. Smith;Mateusz Paprocki;Ondřej Čertík;Sergey B. Kirpichev;Matthew Rocklin;AMiT Kumar;Sergiu Ivanov;Jason K. Moore;Sartaj Singh;Thilina Rathnayake;Sean Vig;Brian E. Granger;Richard P. Muller;Francesco Bonazzi;Harsh Gupta;Shivam Vats;Fredrik Johansson;Fabian Pedregosa;Matthew J. Curry;Andy R. Terrel;Štěpán Roučka;Ashutosh Saboo;Isuru Fernando;Sumith Kulal;Robert Cimrman;Anthony Scopatz
Journal social cognitive and affective neuroscience
Year 2017
DOI
10.7717/peerj-cs.103
URL
https://peerj.com/articles/cs-103/
Keywords
Python computer science

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