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Mastering Python high performance: measure, optimize, and improve the performance of your Python code with this easy-to-follow guide

Detalles Bibliográficos
Autor principal: Doglio, Fernando
Lenguaje:eng
Publicado: Packt Publ. 2015
Materias:
Acceso en línea:http://cds.cern.ch/record/2060254
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author Doglio, Fernando
author_facet Doglio, Fernando
author_sort Doglio, Fernando
collection CERN
id cern-2060254
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2015
publisher Packt Publ.
record_format invenio
spelling cern-20602542021-04-21T20:04:02Zhttp://cds.cern.ch/record/2060254engDoglio, FernandoMastering Python high performance: measure, optimize, and improve the performance of your Python code with this easy-to-follow guideComputing and ComputersPackt Publ.oai:cds.cern.ch:20602542015
spellingShingle Computing and Computers
Doglio, Fernando
Mastering Python high performance: measure, optimize, and improve the performance of your Python code with this easy-to-follow guide
title Mastering Python high performance: measure, optimize, and improve the performance of your Python code with this easy-to-follow guide
title_full Mastering Python high performance: measure, optimize, and improve the performance of your Python code with this easy-to-follow guide
title_fullStr Mastering Python high performance: measure, optimize, and improve the performance of your Python code with this easy-to-follow guide
title_full_unstemmed Mastering Python high performance: measure, optimize, and improve the performance of your Python code with this easy-to-follow guide
title_short Mastering Python high performance: measure, optimize, and improve the performance of your Python code with this easy-to-follow guide
title_sort mastering python high performance: measure, optimize, and improve the performance of your python code with this easy-to-follow guide
topic Computing and Computers
url http://cds.cern.ch/record/2060254
work_keys_str_mv AT dogliofernando masteringpythonhighperformancemeasureoptimizeandimprovetheperformanceofyourpythoncodewiththiseasytofollowguide