引用 SymPy¶
要在出版物中引用 SymPy，请使用
Meurer A, Smith CP, Paprocki M, Čertík O, Kirpichev SB, Rocklin M, Kumar A,
Ivanov S, Moore JK, Singh S, Rathnayake T, Vig S, Granger BE, Muller RP,
Bonazzi F, Gupta H, Vats S, Johansson F, Pedregosa F, Curry MJ, Terrel AR,
Roučka Š, Saboo A, Fernando I, Kulal S, Cimrman R, Scopatz A. (2017) SymPy:
symbolic computing in Python. *PeerJ Computer Science* 3:e103
https://doi.org/10.7717/peerj-cs.103
LaTeX 用户的 BibTeX 条目是
@article{10.7717/peerj-cs.103,
title = {SymPy: symbolic computing in Python},
author = {Meurer, Aaron and Smith, Christopher P. and Paprocki, Mateusz and \v{C}ert\'{i}k, Ond\v{r}ej and Kirpichev, Sergey B. and Rocklin, Matthew and Kumar, AMiT and Ivanov, Sergiu and Moore, Jason K. and Singh, Sartaj and Rathnayake, Thilina and Vig, Sean and Granger, Brian E. and Muller, Richard P. and Bonazzi, Francesco and Gupta, Harsh and Vats, Shivam and Johansson, Fredrik and Pedregosa, Fabian and Curry, Matthew J. and Terrel, Andy R. and Rou\v{c}ka, \v{S}t\v{e}p\'{a}n and Saboo, Ashutosh and Fernando, Isuru and Kulal, Sumith and Cimrman, Robert and Scopatz, Anthony},
year = 2017,
month = jan,
keywords = {Python, Computer algebra system, Symbolics},
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.
},
volume = 3,
pages = {e103},
journal = {PeerJ Computer Science},
issn = {2376-5992},
url = {https://doi.org/10.7717/peerj-cs.103},
doi = {10.7717/peerj-cs.103}
}
SymPy 采用 BSD 许可证，因此您可以随意使用它，无论是学术、商业、创建分支还是派生作品，只要您在重新分发时复制 BSD 语句即可（有关详细信息，请参阅 LICENSE 文件）。也就是说，虽然 SymPy 许可证不要求这样做，但如果方便的话，请在您的作品中使用 SymPy 时引用 SymPy，并考虑将您所有的更改贡献回来，这样我们就可以将其整合，最终我们都会从中受益。
SymPy 开发团队成员列在 GitHub 上的 AUTHORS 文件 中。