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Journal Article

SymPy: symbolic computing in Python

MPS-Authors
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Bonazzi,  Francesco
Thomas Weikl, Theorie & Bio-Systeme, Max Planck Institute of Colloids and Interfaces, Max Planck Society;

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Article.pdf
(Publisher version), 297KB

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Citation

Meurer, A., Smith, C. P., Paprocki, M., Čertík, O., Kirpichev, S. B., Rocklin, M., et al. (2017). SymPy: symbolic computing in Python. PeerJ Computer Science, 3: e103. doi:10.7717/peerj-cs.103.


Cite as: http://hdl.handle.net/11858/00-001M-0000-002E-962F-9
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.