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SymPy: symbolic computing in Python

Authors: Aaron Meurer; Christopher P. Smith; Mateusz Paprocki; Ondrej Certík; Sergey B. Kirpichev; Matthew Rocklin; Amit Kumar; +20 Authors

SymPy: symbolic computing in Python

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.

Country
France
Keywords

Electronic computers. Computer science, Computer algebra system, [INFO.INFO-LG] Computer Science [cs]/Machine Learning [cs.LG], Symbolics, QA75.5-76.95, Python

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1K
Top 0.01%
Top 0.1%
Top 0.1%
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gold