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dc.contributor.authorMeurer, Aaron
dc.contributor.authorSmith, Christopher P.
dc.contributor.authorPaprocki, Mateusz
dc.contributor.authorČertík, Ondřej
dc.contributor.authorKirpichev, Sergey B.
dc.contributor.authorRocklin, Matthew
dc.contributor.authorKumar, Amit
dc.contributor.authorIvanov, Sergiu
dc.contributor.authorMoore, Jason Keith
dc.contributor.authorSingh, Sartaj
dc.contributor.authorRathnayake, Thilina S.
dc.contributor.authorVig, Sean
dc.contributor.authorGranger, Brian E.
dc.contributor.authorMuller, Richard P.
dc.contributor.authorBonazzi, Francesco
dc.contributor.authorGupta, Harsh
dc.contributor.authorVats, Shivam
dc.contributor.authorJohansson, Fredrik
dc.contributor.authorPedregosa, Fabian
dc.contributor.authorCurry, Matthew J.
dc.contributor.authorTerrel, Andy R.
dc.contributor.authorRoučka, Štěpán
dc.contributor.authorSaboo, Ashutosh
dc.contributor.authorFernando, Isuru Dilanka
dc.contributor.authorKulal, Sumith
dc.contributor.authorCimrman, Robert
dc.contributor.authorScopatz, Anthony Michael
dc.date.accessioned2018-02-21T11:35:24Z-
dc.date.available2018-02-21T11:35:24Z-
dc.date.issued2017
dc.identifier.citationMEURER, 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.en
dc.identifier.issn2167-8359
dc.identifier.urihttp://hdl.handle.net/11025/29246
dc.description.abstractČlánek pojednává o architektuře SymPy, popisuje vlastnosti tohoto softwaru a vybrané pod-moduly.cs
dc.format27 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherPeerJen
dc.rights© PeerJen
dc.subjectPython, počítačový algebraický systém, symbolické výpočtycs
dc.titleSymPy: symbolické výpočty v Pythonucs
dc.titleSymPy: symbolic computing in Pythonen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedSymPy 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
dc.subject.translatedPythonen
dc.subject.translatedComputer algebra systemen
dc.subject.translatedSymbolicsen
dc.identifier.doi10.7717/peerj-cs.103
dc.type.statusPeer-revieweden
dc.identifier.obd43919344
dc.project.IDLO1402/CENTEM+cs
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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/29246

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