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Distributed computing with Python: harness the power of multiple computers using Python through this fast-paced informative guide

Detalles Bibliográficos
Autor principal: Pierfederici, Francesco
Lenguaje:eng
Publicado: Packt Publ. 2016
Materias:
Acceso en línea:http://cds.cern.ch/record/2153006
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author Pierfederici, Francesco
author_facet Pierfederici, Francesco
author_sort Pierfederici, Francesco
collection CERN
id cern-2153006
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2016
publisher Packt Publ.
record_format invenio
spelling cern-21530062021-04-21T19:41:39Zhttp://cds.cern.ch/record/2153006engPierfederici, FrancescoDistributed computing with Python: harness the power of multiple computers using Python through this fast-paced informative guideComputing and ComputersPackt Publ.oai:cds.cern.ch:21530062016
spellingShingle Computing and Computers
Pierfederici, Francesco
Distributed computing with Python: harness the power of multiple computers using Python through this fast-paced informative guide
title Distributed computing with Python: harness the power of multiple computers using Python through this fast-paced informative guide
title_full Distributed computing with Python: harness the power of multiple computers using Python through this fast-paced informative guide
title_fullStr Distributed computing with Python: harness the power of multiple computers using Python through this fast-paced informative guide
title_full_unstemmed Distributed computing with Python: harness the power of multiple computers using Python through this fast-paced informative guide
title_short Distributed computing with Python: harness the power of multiple computers using Python through this fast-paced informative guide
title_sort distributed computing with python: harness the power of multiple computers using python through this fast-paced informative guide
topic Computing and Computers
url http://cds.cern.ch/record/2153006
work_keys_str_mv AT pierfedericifrancesco distributedcomputingwithpythonharnessthepowerofmultiplecomputersusingpythonthroughthisfastpacedinformativeguide