Citing SymPy
============

To cite SymPy in publications use

    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

A BibTeX entry for LaTeX users is

.. code-block:: none

    @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 is BSD licensed, so you are free to use it whatever you like, be it
academic, commercial, creating forks or derivatives, as long as you copy the
BSD statement if you redistribute it (see the LICENSE file for details).  That
said, although not required by the SymPy license, if it is convenient for you,
please cite SymPy when using it in your work and also consider contributing
all your changes back, so that we can incorporate it and all of us will
benefit in the end.