Who Cited It

SymPy: symbolic computing in Python

2017 · PeerJ Computer Science · 1,691 citations · 2 from inside this corpus

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

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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Topics

Computational Physics and Python ApplicationsComputer Science
Parallel Computing and Optimization TechniquesComputer Science
Numerical Methods and AlgorithmsComputer Science

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