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PyHEP.dev 2024 Workshop Summary Report, August 26-30 2024, Aachen, Germany

Guardado en:
Udgivet i:arXiv.org (Dec 17, 2024), p. n/a
Hovedforfatter: Alshehri, Azzah
Andre forfattere: Bürger, Jan, Chopra, Saransh, Eich, Niclas, Eppelt, Jonas, Erdmann, Martin, Eschle, Jonas, Fackeldey, Peter, Farkas, Maté, Feickert, Matthew, Fillinger, Tristan, Fischer, Benjamin, Fröse, Stefan, Gerlach, Lino Oscar, Hartmann, Nikolai, Heidelbach, Alexander, Held, Alexander, Ivanov, Marian I, Molina, Josué, Nikitenko, Yaroslav, Osborne, Ianna, Padulano, Vincenzo Eduardo, Pivarski, Jim, Praz, Cyrille, Rieger, Marcel, Rodrigues, Eduardo, Shadura, Oksana, Smieško, Juraj, Giordon Holtsberg Stark, Steinfeld, Judith, Warkentin, Angela
Udgivet:
Cornell University Library, arXiv.org
Fag:
Aachen Germany
Germany
Statistical methods
Data analysis
Workshops
Statistical models
Distributed processing
Project management
Tools
Workflow management systems
Online adgang:Citation/Abstract
Full text outside of ProQuest
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100 1 |a Alshehri, Azzah 
245 1 |a PyHEP.dev 2024 Workshop Summary Report, August 26-30 2024, Aachen, Germany 
260 |b Cornell University Library, arXiv.org  |c Dec 17, 2024 
513 |a Working Paper 
520 3 |a The second PyHEP.dev workshop, part of the "Python in HEP Developers" series organized by the HEP Software Foundation (HSF), took place in Aachen, Germany, from August 26 to 30, 2024. This gathering brought together nearly 30 Python package developers, maintainers, and power users to engage in informal discussions about current trends in Python, with a primary focus on analysis tools and techniques in High Energy Physics (HEP). The workshop agenda encompassed a range of topics, such as defining the scope of HEP data analysis, exploring the Analysis Grand Challenge project, evaluating statistical models and serialization methods, assessing workflow management systems, examining histogramming practices, and investigating distributed processing tools like RDataFrame, Coffea, and Dask. Additionally, the workshop dedicated time to brainstorming the organization of future PyHEP.dev events, upholding the tradition of alternating between Europe and the United States as host locations. This document, prepared by the session conveners in the weeks following the workshop, serves as a summary of the key discussions, salient points, and conclusions that emerged. 
651 4 |a Aachen Germany 
651 4 |a Germany 
653 |a Statistical methods 
653 |a Data analysis 
653 |a Workshops 
653 |a Statistical models 
653 |a Distributed processing 
653 |a Project management 
653 |a Tools 
653 |a Workflow management systems 
700 1 |a Bürger, Jan 
700 1 |a Chopra, Saransh 
700 1 |a Eich, Niclas 
700 1 |a Eppelt, Jonas 
700 1 |a Erdmann, Martin 
700 1 |a Eschle, Jonas 
700 1 |a Fackeldey, Peter 
700 1 |a Farkas, Maté 
700 1 |a Feickert, Matthew 
700 1 |a Fillinger, Tristan 
700 1 |a Fischer, Benjamin 
700 1 |a Fröse, Stefan 
700 1 |a Gerlach, Lino Oscar 
700 1 |a Hartmann, Nikolai 
700 1 |a Heidelbach, Alexander 
700 1 |a Held, Alexander 
700 1 |a Ivanov, Marian I 
700 1 |a Molina, Josué 
700 1 |a Nikitenko, Yaroslav 
700 1 |a Osborne, Ianna 
700 1 |a Padulano, Vincenzo Eduardo 
700 1 |a Pivarski, Jim 
700 1 |a Praz, Cyrille 
700 1 |a Rieger, Marcel 
700 1 |a Rodrigues, Eduardo 
700 1 |a Shadura, Oksana 
700 1 |a Smieško, Juraj 
700 1 |a Giordon Holtsberg Stark 
700 1 |a Steinfeld, Judith 
700 1 |a Warkentin, Angela 
773 0 |t arXiv.org  |g (Dec 17, 2024), p. n/a 
786 0 |d ProQuest  |t Engineering Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3112967250/abstract/embedded/ZKJTFFSVAI7CB62C?source=fedsrch 
856 4 0 |3 Full text outside of ProQuest  |u http://arxiv.org/abs/2410.02112