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Talk16 min

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

Andrea Valassi · CERN

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About

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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The talk

  1. Python bindings for C++ using PyROOT/cppyy: the experience from PyCool in COOL 2016-05-30 · 16 min · CERN's player

Credits and licence

Institution
CERN
Department
Developers@CERN Forum
Speaker
Andrea Valassi
Year
2016
Language
English
Source
CERN
Licence
CERN, as CERN states it. CERN's terms
Attribution
© CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
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