SymPy: Symbolic computing in python

dc.contributor.author	Meurer A.; Smith C.P.; Paprocki M.; Čertík O.; Kirpichev S.B.; Rocklin M.; Kumar A.; Ivanov S.; Moore J.K.; Singh S.; Rathnayake T.; Vig S.; Granger B.E.; Muller R.P.; Bonazzi F.; Gupta H.; Vats S.; Johansson F.; Pedregosa F.; Curry M.J.; Terrel A.R.; Roučka Š.; Saboo A.; Fernando I.; Kulal S.; Cimrman R.; Scopatz A.
dc.date.accessioned	2025-05-24T09:30:16Z
dc.description.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 domain specific submodules. The supplementary materials provide additional examples and further outline details of the architecture and features of SymPy. © 2017 PeerJ Inc.. All rights reserved.
dc.identifier.doi	https://doi.org/10.7287/peerj.preprints.2083
dc.identifier.uri	http://172.23.0.11:4000/handle/123456789/16844
dc.relation.ispartofseries	PeerJ
dc.title	SymPy: Symbolic computing in python

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