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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| Veröffentlicht in: | PeerJ Computer Science 2017, Vol.3, p.e103 |
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| creator | Meurer, Aaron Smith, Christopher P Paprocki, Mateusz Certík, Ondrej 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 Roucka, Stepán Saboo, Ashutosh Fernando, Isuru Kulal, Sumith Cimrman, Robert Scopatz, Anthony |
| description | 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. |
| doi_str_mv | 10.7717/peerj-cs.103 |
| format | Report |
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| fulltext | fulltext |
| identifier | ISSN: 2376-5992 |
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| language | eng |
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| source | DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central |
| subjects | Authorship Mathematical software Python (Programming language) |
| title | SymPy: symbolic computing in Python |
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