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Python bindings for C++ using PyROOT/cppyy: the experience from PyCool in COOL

<!--HTML-->The COOL software is used by the ATLAS and LHCb experiments to handle the time variation and versioning of their conditions data, using a variety of different relational database technologies. While the COOL core libraries are written in C++ and are integrated in the experiment C++...

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Autor principal: Valassi, Andrea
Lenguaje:eng
Publicado: 2016
Materias:
Acceso en línea:http://cds.cern.ch/record/2157240
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author Valassi, Andrea
author_facet Valassi, Andrea
author_sort Valassi, Andrea
collection CERN
description <!--HTML-->The COOL software is used by the ATLAS and LHCb experiments to handle the time variation and versioning of their conditions data, using a variety of different relational database technologies. While the COOL core libraries are written in C++ and are integrated in the experiment C++ frameworks, a package offering Python bindings of the COOL C++ APIs, PyCool, is also provided and has been an essential component of the ATLAS conditions data management toolkit for over 10 years. Almost since the beginning, the implementation of PyCool has been based on ROOT to generate Python bindings for C++, initially using Reflex and PyROOT in ROOT5 and more recently using clang and cppyy in ROOT6. This presentation will describe the PyCool experience with using ROOT to generate Python bindings for C++, throughout the many evolutions of the underlying technology.
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institution Organización Europea para la Investigación Nuclear
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spelling cern-21572402022-11-02T22:10:26Zhttp://cds.cern.ch/record/2157240engValassi, AndreaPython bindings for C++ using PyROOT/cppyy: the experience from PyCool in COOL2nd Developers@CERN ForumDevelopers@CERN Forum<!--HTML-->The COOL software is used by the ATLAS and LHCb experiments to handle the time variation and versioning of their conditions data, using a variety of different relational database technologies. While the COOL core libraries are written in C++ and are integrated in the experiment C++ frameworks, a package offering Python bindings of the COOL C++ APIs, PyCool, is also provided and has been an essential component of the ATLAS conditions data management toolkit for over 10 years. Almost since the beginning, the implementation of PyCool has been based on ROOT to generate Python bindings for C++, initially using Reflex and PyROOT in ROOT5 and more recently using clang and cppyy in ROOT6. This presentation will describe the PyCool experience with using ROOT to generate Python bindings for C++, throughout the many evolutions of the underlying technology.oai:cds.cern.ch:21572402016
spellingShingle Developers@CERN Forum
Valassi, Andrea
Python bindings for C++ using PyROOT/cppyy: the experience from PyCool in COOL
title Python bindings for C++ using PyROOT/cppyy: the experience from PyCool in COOL
title_full Python bindings for C++ using PyROOT/cppyy: the experience from PyCool in COOL
title_fullStr Python bindings for C++ using PyROOT/cppyy: the experience from PyCool in COOL
title_full_unstemmed Python bindings for C++ using PyROOT/cppyy: the experience from PyCool in COOL
title_short Python bindings for C++ using PyROOT/cppyy: the experience from PyCool in COOL
title_sort python bindings for c++ using pyroot/cppyy: the experience from pycool in cool
topic Developers@CERN Forum
url http://cds.cern.ch/record/2157240
work_keys_str_mv AT valassiandrea pythonbindingsforcusingpyrootcppyytheexperiencefrompycoolincool
AT valassiandrea 2nddeveloperscernforum