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SymPy: symbolic computing in Python

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
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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.

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97 MATHEMATICS AND COMPUTINGComputer ScienceComputer algebra systemPythonSymbolics

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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. 2017-01-02. SymPy: symbolic computing in Python. https://doi.org/10.7717/peerj-cs.103

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