Title: SymPy: symbolické výpočty v Pythonu
SymPy: symbolic computing in Python
Authors: Meurer, Aaron
Smith, Christopher P.
Paprocki, Mateusz
Čertík, Ondřej
Kirpichev, Sergey B.
Rocklin, Matthew
Kumar, Amit
Ivanov, Sergiu
Moore, Jason Keith
Singh, Sartaj
Rathnayake, Thilina S.
Vig, Sean
Granger, Brian E.
Muller, Richard P.
Bonazzi, Francesco
Gupta, Harsh
Vats, Shivam
Johansson, Fredrik
Pedregosa, Fabian
Curry, Matthew J.
Terrel, Andy R.
Roučka, Štěpán
Saboo, Ashutosh
Fernando, Isuru Dilanka
Kulal, Sumith
Cimrman, Robert
Scopatz, Anthony Michael
Citation: MEURER, A., SMITH, C. P., PAPROCKI, M., ČERTÍK, O., KIRPICHEV, S. B., ROCKLIN, M., KUMAR, A., IVANOV, S., MOORE, J. K., SINGH, S., RATHNAYAKE, T. S., VIG, S., GRANGER, B. E., MULLER, R. P., BONAZZI, F., GUPTA, H., VATS, S., JOHANSSON, F., PEDREGOSA, F., CURRY, M. J., TERREL, A. R., ROUČKA, Š., SABOO, A., FERNANDO, I. D., KULAL, S., CIMRMAN, R., SCOPATZ, A. M. SymPy: symbolic computing in Python. PeerJ, 2017, roč. 2017, č. 1. ISSN 2167-8359.
Issue Date: 2017
Publisher: PeerJ
Document type: článek
URI: http://hdl.handle.net/11025/29246
ISSN: 2167-8359
Keywords: Python, počítačový algebraický systém, symbolické výpočty
Keywords in different language: Python;Computer algebra system;Symbolics
Abstract: Článek pojednává o architektuře SymPy, popisuje vlastnosti tohoto softwaru a vybrané pod-moduly.
Abstract in different language: 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.
Rights: © PeerJ
Appears in Collections:Články / Articles (MMI)

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