SymPy: symbolic computing in Python

Meurer, Aaron; P. Smith, Christopher; Paprocki, Mateusz; Čertı́k, Ondřej; B Kirpichev, Sergey; Rocklin, Matthew; Kumar, Amit; Ivanov, Sergiu; K. Moore, Jason; Singh, Sartaj; Rathnayake, Thilina; Vig, Sean; Granger, Brian; P. Muller, Richard; Bonazzi, Francesco; Gupta, Harsh; Vats, Shivam; Johansson, Fredrik; Pedregosa, Fabian; Curry, Matthew; R. Terrel, Andy; Roučka, Štěpán; Saboo, Ashutosh; Fernando, Isuru; Kulal, Sumith; Cimrman, Robert; Scopatz, Anthony

doi:10.7717/peerj-cs.103

Public

SymPy: symbolic computing in Python

Published in PeerJ Computer Science • Jan 2, 2017

Authors:

Aaron Meurer

Christopher P. Smith

Mateusz Paprocki

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. Th...

Subject

Python (programming language)

Computer science

Extensibility

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