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SymPy
| dc.contributor.author | Meurer, Aaron | |
| dc.contributor.author | Smith, Christopher P. | |
| dc.contributor.author | Paprocki, Mateusz | |
| dc.contributor.author | and et al | |
| dc.date.accessioned | 2020-02-14T11:28:03Z | |
| dc.date.available | 2020-02-14T11:28:03Z | |
| dc.date.issued | 2017-01-02 | |
| dc.description.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. | en_US |
| dc.identifier.issn | 23765992 | |
| dc.identifier.uri | https://idr-sdlib.iitbhu.ac.in/handle/123456789/618 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | PeerJ Inc. | en_US |
| dc.subject | Computer algebra system | en_US |
| dc.subject | Python | en_US |
| dc.subject | Symbolics | en_US |
| dc.title | SymPy | en_US |
| dc.title.alternative | Symbolic computing in Python | en_US |
| dc.type | Article | en_US |
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