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Practical data science with Python 3: synthesizing actionable insights from data

Detalles Bibliográficos
Autor principal: Varga, Ervin
Lenguaje:eng
Publicado: Apress 2019
Materias:
Acceso en línea:http://cds.cern.ch/record/2699750
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author Varga, Ervin
author_facet Varga, Ervin
author_sort Varga, Ervin
collection CERN
id cern-2699750
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2019
publisher Apress
record_format invenio
spelling cern-26997502021-04-21T18:16:02Zhttp://cds.cern.ch/record/2699750engVarga, ErvinPractical data science with Python 3: synthesizing actionable insights from dataComputing and ComputersApressoai:cds.cern.ch:26997502019
spellingShingle Computing and Computers
Varga, Ervin
Practical data science with Python 3: synthesizing actionable insights from data
title Practical data science with Python 3: synthesizing actionable insights from data
title_full Practical data science with Python 3: synthesizing actionable insights from data
title_fullStr Practical data science with Python 3: synthesizing actionable insights from data
title_full_unstemmed Practical data science with Python 3: synthesizing actionable insights from data
title_short Practical data science with Python 3: synthesizing actionable insights from data
title_sort practical data science with python 3: synthesizing actionable insights from data
topic Computing and Computers
url http://cds.cern.ch/record/2699750
work_keys_str_mv AT vargaervin practicaldatasciencewithpython3synthesizingactionableinsightsfromdata