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Practical data science with Python 3: synthesizing actionable insights from data
Autor principal: | |
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Lenguaje: | eng |
Publicado: |
Apress
2019
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2699750 |
_version_ | 1780964446834786304 |
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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 |