Login

PyHEP 2019 Workshop

16–18 Oct 2019
Abingdon, U.K.
Europe/London timezone

Contact us

Contribution List

29 out of 29 displayed
Export to PDF
  1. 1. Welcome and workshop overview
    Eduardo Rodrigues (University of Cincinnati (US))
    16/10/2019, 09:30
  2. 2. Overview of the SSI and reproducible research software
    Sam Mangham (Software Sustainability Institute, U.K.)
    16/10/2019, 09:45
  3. 3. The Scikit-HEP project
    Eduardo Rodrigues (University of Cincinnati (US))
    16/10/2019, 10:15
  4. 4. Packaging for Python and beyond
    Chris Burr (CERN)
    16/10/2019, 11:15
  5. 5. scikit-validate - physics validation for small software projects
    Dr Lukasz Kreczko (University of Bristol (GB))
    16/10/2019, 11:45
  6. 6. GPU Computing via Python's Context Management for Beam Dynamics Simulations
    Adrian Oeftiger (GSI - Helmholtzzentrum fur Schwerionenforschung GmbH (DE))
    16/10/2019, 14:00
  7. 7. Introducing SixTrackLib: a versatile, hardware-accelerated single-particle tracking library
    Martin Schwinzerl (University of Graz (AT))
    16/10/2019, 14:30
  8. 8. hepaccelerate: data analysis with jagged arrays on GPUs
    Joosep Pata (California Institute of Technology (US))
    16/10/2019, 15:00
  9. 9. Readable and efficient HEP data analysis with bamboo
    Pieter David (Universite Catholique de Louvain (UCL) (BE))
    16/10/2019, 17:00
  10. 10. Particles and decays
    Eduardo Rodrigues (University of Cincinnati (US))
    16/10/2019, 17:30
  11. 20. Panel: Turn your existing Python analysis code into deployable dashboards
    Philipp Rudiger (Anaconda)
    17/10/2019, 09:00

    KEYNOTE PRESENTATION:

    Over the last decade the Python scientific ecosystem have become an incredibly powerful toolkit for performing analyses and visualizing data. Once an analysis is done it often has to be shared with a wider audience, either within an organization or with the wider public, but this step often requires an entirely different set of tools and skillset. Panel is a new,...

    Go to contribution page
  12. 21. mpl-hep - HEP needs for visualization
    Andrzej Novak (RWTH Aachen (DE))
    17/10/2019, 09:40
  13. 26. SWAN
    Diogo Castro (CERN)
    17/10/2019, 10:40
  14. 27. Parsl live-coding session
    Ben Clifford
    17/10/2019, 11:10
  15. 24. Coffea
    Lindsey Gray (Fermi National Accelerator Lab. (US))
    17/10/2019, 11:50
  16. 25. F.A.S.T.
    Benjamin Krikler (University of Bristol (GB))
    17/10/2019, 12:20
  17. 23. Writing files with uproot
    Pratyush Das (Institute of Engineering and Management, Kolkata)
    17/10/2019, 14:30
  18. 22. Awkward 1.0
    Jim Pivarski (Princeton University)
    17/10/2019, 15:00
  19. 28. Aside: quick news on Python 3.8
    Henry Fredrick Schreiner (Princeton University)
    17/10/2019, 16:00
  20. 18. Python histogramming packages
    Henry Fredrick Schreiner (Princeton University)
    17/10/2019, 16:15
  21. 19. Hands-on
    Henry Fredrick Schreiner (Princeton University)
    17/10/2019, 17:00
  22. 15. zfit
    Jonas Eschle (Universitaet Zuerich (CH))
    18/10/2019, 09:00
  23. 16. pyhf
    Matthew Feickert (Univ. Illinois at Urbana Champaign (US))
    18/10/2019, 09:30
  24. 17. Fast likelihood analysis in more dimensions for Xenon TPCs
    Bart Pelssers (Stockholm University)
    18/10/2019, 10:00
  25. 11. Introduction to iminuit
    Dr Hans Peter Dembinski (Max-Planck-Institute for Nuclear Physics, Heidelberg)
    18/10/2019, 11:00
  26. 12. Statistical Methods in the NPStat Package
    Igor Volobouev (Texas Tech University (US))
    18/10/2019, 11:30
  27. 13. Computing coverage with NumPy and Numba of Bayesian and Frequentist intervals
    Hans Peter Dembinski (Max-Planck-Institute for Nuclear Physics, Heidelberg)
    18/10/2019, 12:00
  28. 14. PyROOT
    Massimiliano Galli
    18/10/2019, 12:30
  29. 29. Workshop closeout
    Benjamin Krikler (University of Bristol (GB)), Eduardo Rodrigues (University of Cincinnati (US))
    18/10/2019, 13:00