PyHEP 2019 Workshop

Name: PyHEP 2019 Workshop
Start: 2019-10-16T09:00:00+01:00
End: 2019-10-18T16:00:00+01:00
Location: Abingdon, U.K.

16 Oct 2019, 09:00 → 18 Oct 2019, 16:00 Europe/London

Abingdon, U.K.

The Cosener's House Abingdon, U.K.

Benjamin Krikler (University of Bristol (GB)), Eduardo Rodrigues (University of Cincinnati (US))

Description

The PyHEP workshops are a series of workshops initiated and supported by the HEP Software Foundation (HSF) with the aim to provide an environment to discuss and promote the usage of Python in the HEP community at large. Further information is given here.

PyHEP 2019 will be held at The Cosener's House, in Abingdon, near Oxford, United Kingdom, from 16-18 October 2019.

The workshop will be a forum for the participants and the community at large to discuss developments of Python packages and tools, exchange experiences, and steer where the community needs and wants to go. There will be ample time for discussion.

The agenda will be composed of plenary sessions, a highlight of which is the following:
1) A keynote presentation on the PyViz - open source visualization tools for Python - project, given by Philipp Rudiger, a member of the developers team.

2) Topical sessions on e.g. histogramming and statistics, including a talk and a hands-on tutorial.
3) Lightning talks from participants.
4) Presentations following up from topics discussed at PyHEP 2018.

Partial travel support for some U.S. participants (in particular, students and early-career postdocs) may be available from the IRIS-HEP institute. Please contact Peter Elmer (Peter.Elmer@cern.ch) to enquire about details.

Organising Committee

Eduardo Rodrigues - University of Cincinnati (Chair)
Ben Krikler - University of Bristol (Co-chair)

Sponsors

The event is kindly sponsored by

Participants

Adrian Oeftiger
Andrzej Novak
Bart Pelssers
Ben CLIFFORD
Ben Smart
Benjamin Krikler
Beojan Stanislaus
Brett Mayes
Carl Gwilliam
Chris Burr
Diogo Castro
Eduardo Rodrigues
Emma Buchanan
Emma Torro Pastor
Emmanuel Olaiya
Gordon Watts
Hans Peter Dembinski
Helena Brandao Malbouisson
Henry Day-Hall
Henry Fredrick Schreiner
Igor Volobouev
Ilektra Christidi
Jacob Julian Kempster
James Pillow
James Walder
Jim Pivarski
Jonas Eschle
Joosep Pata
Jordan Palmer
Katerina Hladka
Lindsey Gray
Lukasz Kreczko
Martha Hilton
Martin Ritter
Martin Schwinzerl
Mason Proffitt
Massimiliano Galli
Matthew Feickert
Matthew Tan
Migle Stankaityte
Miroslav Kubu
Monika Wielers
Philipp Rudiger
Pieter David
Pratyush Das
Ralf Kliemt
Rob Taylor
Sam Mangham
Simone Bologna
Tim Adye
Tim Martin
Todd Brian Huffman
Victor Daussy-Renaudin
Will Turner
William Vinning

pyhep2019-organisation@cern.ch

Wednesday, 16 October
- Welcome and workshop overview
  
  Convener: Benjamin Krikler (University of Bristol (GB))
  - 1
    
    Welcome and workshop overview
    
    Speaker: Eduardo Rodrigues (University of Cincinnati (US))
    
    EduardoRodrigues_PyHEP2019_intro.pdf
- Research software
  
  Convener: Benjamin Krikler (University of Bristol (GB))
  - 2
    
    Overview of the SSI and reproducible research software
    
    Speaker: Sam Mangham (Software Sustainability Institute, U.K.)
    
    SamMangham-SSI-and-reproducible-research-software
    
    slides-2019-10-16-pyhep.html
  - 3
    
    The Scikit-HEP project
    
    Speaker: Eduardo Rodrigues (University of Cincinnati (US))
    
    EduardoRodrigues_PyHEP2019_Scikit-HEP.pdf
- 10:45
  
  Coffee/tea break
- Packaging, distribution, CI
  
  Convener: Dr Martin Ritter (LMU / Cluster Universe)
  - 4
    
    Packaging for Python and beyond
    
    Speaker: Chris Burr (CERN)
    
    2019-10-16_PyHEP2019-packaging.pdf
    
    2019-10-16_PyHEP2019-packaging-with-setup-py-backup.pdf
  - 5
    
    scikit-validate - physics validation for small software projects
    
    Speaker: Dr Lukasz Kreczko (University of Bristol (GB))
    
    scikit-validate - PyHEP 2019.pdf
- 12:15
  
  Workshop photo
- 12:30
  
  Lunch
- Accelerators-enabled code
  
  Convener: Jim Pivarski (Princeton University)
  - 6
    
    GPU Computing via Python's Context Management for Beam Dynamics Simulations
    
    Speaker: Adrian Oeftiger (GSI - Helmholtzzentrum fur Schwerionenforschung GmbH (DE))
    
    oeftiger_gpus_in_python_animated.pdf
    
    oeftiger_gpus_in_python_static.pdf
    
    vid_no1.mp4
    
    vid_no1.wmv
    
    vid_no2.mp4
  - 7
    
    Introducing SixTrackLib: a versatile, hardware-accelerated single-particle tracking library
    
    Speaker: Martin Schwinzerl (University of Graz (AT))
    
    intro_sixtracklib_handouts.pdf
    
    intro_sixtracklib.pdf
    
    SixTrackLib @ github.com
  - 8
    
    hepaccelerate: data analysis with jagged arrays on GPUs
    
    Speaker: Joosep Pata (California Institute of Technology (US))
    
    2019_10_15_pyhep.pdf
- 15:30
  
  Coffee/tea break
- Lightning talks
  
  Minutes
  
  Convener: Benjamin Krikler (University of Bristol (GB))
  
  all_slides.pdf
  Helena Malbouisson
  
  Martha Hilton
  
  Jim Pivarski
  
  Hans Dembinski
  
  Chris Burr
  
  Igor Volobouev
  
  Ben Krikler
  
  Martin Schwinzerl
  
  Joosep Pata
  
  Lindsey Gray
  
  Henry Schreiner
  
  Pieter David
  
  Luke Kreczko
  
  Jonas Eschle
  
  Gordon Watts
  
  Brett Mayes
  
  Mason Proffitt
  
  Matthew Feickert
  
  Miroslav Kubu
  
  Henry Day-hall
- HEP Python software ecosystem
  
  Convener: Henry Fredrick Schreiner (Princeton University)
  - 9
    
    Readable and efficient HEP data analysis with bamboo
    
    Speaker: Pieter David (Universite Catholique de Louvain (UCL) (BE))
    
    Bamboo_PyHEP2019_PieterDavid.pdf
  - 10
    
    Particles and decays
    
    Speaker: Eduardo Rodrigues (University of Cincinnati (US))
    
    Notebook repository
    
    ParticlesAndDecays.slides.html
- 19:00
  
  Dinner
Thursday, 17 October
- Visualisation
  
  Convener: Benjamin Krikler (University of Bristol (GB))
  - 11
    
    Panel: Turn your existing Python analysis code into deployable dashboards
    
    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, open-source Python library built to easily wrap the outputs of an analysis, combine them with widgets and then lay them out as an interactive app or dashboard. This enables faster iteration cycles within organizations and ensures users without in-depth familiarity with web programming can develop and deploy complex dashboards with minimal code.
    
    Panel natively supports a wide range of plotting tools and many other types of data making it trivial to work with the tools users are already familiar with. A complex interactive Panel-based dashboard is typically many times shorter than the equivalent Dash or Bokeh code, focusing on expressing relationships between widgets, computation, and visualizations directly. At the same time Panel is not limited to building simple apps and can be used to visualize complex, multi-stage analysis pipelines, provides full styling flexibility using CSS and Bokeh themes and has the ability to dynamically resize to the size of the browser window.
    
    Once an application is built either in a Python script or notebook it can trivially be deployed as a standalone app using Bokeh Server without any change in behavior. Alternatively, Panel apps can be exported to static HTML files by defining Javascript based interactions or even recording and embedding the app's state space, making it possible to share interactive visualizations as self-contained files.
    
    In the talk we will discover some of the core ideas behind Panel, go through the process of making an existing Jupyter notebook deployable as a dashboard and finally look at a number of case studies of real world dashboards analyzing large volumes of scientific data. With Panel, your analyses and visualizations can now very easily leap from your notebook or custom scripts into the real world!
    
    Speaker: Philipp Rudiger (Anaconda)
    
    Presentation repository
    
    PyHEP2019_slides.pdf
  - 12
    
    mpl-hep - HEP needs for visualization
    
    Speaker: Andrzej Novak (RWTH Aachen (DE))
    
    PyHEP_2019_Andrzej.pdf
- 10:10
  
  Coffee/tea break
- Analysis platforms
  
  Convener: Eduardo Rodrigues (University of Cincinnati (US))
  - 13
    
    SWAN
    
    Speaker: Diogo Castro (CERN)
    
    201910-swan-pyhep.pdf
  - 14
    
    Parsl live-coding session
    
    Speaker: Ben Clifford
    
    parsl-pi-estimation.html
    
    parsl-pi-estimation.pdf
- High-level Analysis Tools
  
  Convener: Eduardo Rodrigues (University of Cincinnati (US))
  - 15
    
    Coffea
    
    Speaker: Lindsey Gray (Fermi National Accelerator Lab. (US))
    
    PyHEP_LindseyGray_17102019.pdf
  - 16
    
    F.A.S.T.
    
    Speaker: Benjamin Krikler (University of Bristol (GB))
    
    191016_ The FAST-HEP toolkit.pdf
- 12:50
  
  Lunch
- Analysis fundamentals
  
  Convener: Benjamin Krikler (University of Bristol (GB))
  - 17
    
    Writing files with uproot
    
    Speaker: Pratyush Das (Institute of Engineering and Management, Kolkata)
    
    uproot-pyhep.pdf
  - 18
    
    Awkward 1.0
    
    Speaker: Jim Pivarski (Princeton University)
    
    pivarski-pyhep-awkward.pdf
- 15:30
  
  Coffee/tea break
- Histogramming & news on Python 3.8
  
  Convener: Henry Fredrick Schreiner (Princeton University)
  - 19
    
    Aside: quick news on Python 3.8
    
    Speaker: Henry Fredrick Schreiner (Princeton University)
    
    python38.pdf
  - 20
    
    Python histogramming packages
    
    Speaker: Henry Fredrick Schreiner (Princeton University)
    
    histogramming.pdf
  - 21
    
    Hands-on
    
    Speaker: Henry Fredrick Schreiner (Princeton University)
    
    Workbook repo
- 19:00
  
  Dinner
Friday, 18 October
- Statistics
  
  Convener: Hans Peter Dembinski (Max-Planck-Institute for Nuclear Physics, Heidelberg)
  - 22
    
    zfit
    
    Minutes
    
    Speaker: Jonas Eschle (Universitaet Zuerich (CH))
    
    pyhep_zfit_Jonas_Eschle.pdf
    
    zfit github
    
    zfit tutorials
    
    zfit: scalable pythonic fitting
    
    zfit brings together the model fitting efforts for HEP in Python by defining an API & Workflow and an implementation on top of TensorFlow and scikit-hep packages.
    
    It offers an extensive model building part, currently focused on unbinned likelihoods.
  - 23
    
    pyhf
    
    Speaker: Matthew Feickert (Univ. Illinois at Urbana Champaign (US))
    
    Feickert_pyhf-talk-export.pdf
    
    GitHub repo hosting talk
    
    pyhf talk
  - 24
    
    Fast likelihood analysis in more dimensions for Xenon TPCs
    
    Speaker: Bart Pelssers (Stockholm University)
    
    pyhep_talk.pdf
- 10:30
  
  Coffee/tea break
- Statistics
  
  Convener: Eduardo Rodrigues (University of Cincinnati (US))
  - 25
    
    Introduction to iminuit
    
    Speaker: Dr Hans Peter Dembinski (Max-Planck-Institute for Nuclear Physics, Heidelberg)
    
    iminuit_intro.html
  - 26
    
    Statistical Methods in the NPStat Package
    
    Speaker: Igor Volobouev (Texas Tech University (US))
    
    install_npstat_with_prerequisites.csh
    
    npstat.pdf
  - 27
    
    Computing coverage with NumPy and Numba of Bayesian and Frequentist intervals
    
    Speaker: Hans Peter Dembinski (Max-Planck-Institute for Nuclear Physics, Heidelberg)
    
    dembinski_coverage_numba.html
- PyROOT
  
  Convener: Benjamin Krikler (University of Bristol (GB))
  - 28
    
    PyROOT
    
    Speaker: Massimiliano Galli
    
    PyROOT_PyHEP_2019.pdf
- Closeout
  - 29
    
    Workshop closeout
    
    Speakers: Benjamin Krikler (University of Bristol (GB)), Eduardo Rodrigues (University of Cincinnati (US))
    
    2019-10-18_PyHEP2019Abingdon-CloseOut.pdf
- 13:05
  
  Lunch