SymPy: symbolic computing in Python

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...

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Vydané v:PeerJ. Computer science Ročník 3; s. e103
Hlavní autori: Meurer, Aaron, Smith, Christopher P., Paprocki, Mateusz, Čertík, Ondřej, Kirpichev, Sergey B., Rocklin, Matthew, Kumar, AMiT, Ivanov, Sergiu, Moore, Jason K., Singh, Sartaj, Rathnayake, Thilina, Vig, Sean, Granger, Brian E., Muller, Richard P., Bonazzi, Francesco, Gupta, Harsh, Vats, Shivam, Johansson, Fredrik, Pedregosa, Fabian, Curry, Matthew J., Terrel, Andy R., Roučka, Štěpán, Saboo, Ashutosh, Fernando, Isuru, Kulal, Sumith, Cimrman, Robert, Scopatz, Anthony
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: San Diego PeerJ. Ltd 02.01.2017
PeerJ, Inc
PeerJ Inc
Predmet:
Applied mathematics
Architectural engineering
Architecture
Authorship
Computer algebra
Computer algebra system
Computer Science
Laboratories
Libraries
Mathematical software
MATHEMATICS AND COMPUTING
Physics
Programming languages
Python
Python (Programming language)
Symbolics
United States > US
ISSN:2376-5992, 2376-5992
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Popis
Shrnutí: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.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
LA-UR-16-23820l; SAND-2016-4832J
USDOE National Nuclear Security Administration (NNSA)
AC52-06NA25396; AC04-94AL85000
ISSN:2376-5992
2376-5992
DOI:10.7717/peerj-cs.103