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SymPy: Symbolic computing in Python

hal.structure.identifierDepartment of Mechanical Engineering [Columbia]
dc.contributor.authorMEURER, Aaron
hal.structure.identifierPolar Semiconductor, LLC [Bloomington]
dc.contributor.authorSMITH, Christopher P
hal.structure.identifierContinuum Analytics [Austin]
dc.contributor.authorPAPROCKI, Mateusz
hal.structure.identifierLos Alamos National Laboratory [LANL]
dc.contributor.authorČERTÍK, Ondřej
hal.structure.identifierFaculty of Physics [MSU, Moscow]
dc.contributor.authorKIRPICHEV, Sergey B
hal.structure.identifierContinuum Analytics [Austin]
dc.contributor.authorROCKLIN, Matthew
hal.structure.identifierDepartment of Applied Mathematics [New Delhi]
dc.contributor.authorKUMAR, Amit
hal.structure.identifierLaboratoire d'Algorithmique Complexité et Logique [LACL]
dc.contributor.authorIVANOV, Sergiu
hal.structure.identifierDepartment of Mechanical and Aerospace Engineering [Univ California Davis] [MAE - UC Davis]
dc.contributor.authorMOORE, Jason K
hal.structure.identifierDepartment of Mathematical Sciences [Varanasi]
dc.contributor.authorSINGH, Sartaj
hal.structure.identifierDepartment of Computer Science and Engineering [Moratuwa]
dc.contributor.authorRATHNAYAKE, Thilina
hal.structure.identifierUniversity of Illinois at Urbana-Champaign [Urbana] [UIUC]
dc.contributor.authorVIG, Sean
hal.structure.identifierCalifornia Polytechnic State University [San Luis Obispo] [CAL POLY]
dc.contributor.authorGRANGER, Brian E
hal.structure.identifierSandia National Laboratories [Albuquerque] [SNL]
dc.contributor.authorMULLER, Richard P
hal.structure.identifierDepartment of Theory and Bio-Systems [Potsdam]
dc.contributor.authorBONAZZI, Francesco
hal.structure.identifierIndian Institute of Technology Kharagpur [IIT Kharagpur]
dc.contributor.authorGUPTA, Harsh
hal.structure.identifierIndian Institute of Technology Kharagpur [IIT Kharagpur]
dc.contributor.authorVATS, Shivam
hal.structure.identifierLithe and fast algorithmic number theory [LFANT]
dc.contributor.authorJOHANSSON, Fredrik
hal.structure.identifierStatistical Machine Learning and Parsimony [SIERRA]
dc.contributor.authorPEDREGOSA, Fabian
hal.structure.identifierDepartment of Physics and Astronomy [Albuquerque]
hal.structure.identifierCenter for Quantum Information and Control [Albuquerque] [CQuIC]
hal.structure.identifierSandia National Laboratories [Albuquerque] [SNL]
dc.contributor.authorCURRY, Matthew J
hal.structure.identifierFashion Metric [Austin]
hal.structure.identifierNUMFOCUS [Austin]
dc.contributor.authorTERREL, Andy R
hal.structure.identifierDepartment of Surface and Plasma Science [Prague]
dc.contributor.authorROUČKA, Štěpán
hal.structure.identifierBirla Institute of Technology and Science [BITS Pilani]
dc.contributor.authorSABOO, Ashutosh
hal.structure.identifierDepartment of Computer Science and Engineering [Moratuwa]
dc.contributor.authorFERNANDO, Isuru
hal.structure.identifierIndian Institute of Technology Bombay [IIT Bombay]
dc.contributor.authorKULAL, Sumith
hal.structure.identifierNew Technologies Research Centre [Plzeň] [NTC]
dc.contributor.authorCIMRMAN, Robert
hal.structure.identifierDepartment of Mechanical Engineering [Columbia]
dc.contributor.authorSCOPATZ, Anthony
dc.date.accessioned2024-04-04T03:12:43Z
dc.date.available2024-04-04T03:12:43Z
dc.date.created2016-05-02
dc.date.issued2017
dc.identifier.issn2376-5992
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/193893
dc.description.abstractEnSymPy 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 the standard symbolic library for the scientific Python ecosystem. This paper presents the architecture of SymPy, a description of its features, and a discussion of select domain specific submodules. The supplementary materials provide additional examples and further outline details of the architecture and features of SymPy.
dc.language.isoen
dc.publisherPeerJ
dc.title.enSymPy: Symbolic computing in Python
dc.typeArticle de revue
dc.identifier.doi10.7287/peerj.preprints.2083v3
dc.subject.halInformatique [cs]/Apprentissage [cs.LG]
bordeaux.journalPeerJ Computer Science
bordeaux.pagee103
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue3
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-01404156
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01404156v1
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