
Workshop for #Python in particle #Physics. #PyHEP2022 is online on Zoom. https://teapawt.net/t.co/Fr3HnwrXzA
Joined February 2020
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And we're off with #PyHEP2022! indico.cern.ch/event/1150631… If you would like to follow along on a live stream of the workshop on you can watch it on YouTube here: youtu.be/Ip_Fri2GqjQ
The #PyHEP2021 workshop group photos are now up on Indico! Thanks to everyone who participated, and as you can see from the mosaic there's a lot of you! :D indico.cern.ch/event/1019958…
The last talk of today's first session at #PyHEP2021 comes from @nvidia's Benjamin Zaitlen: Introduction to RAPIDS, GPU-accelerated data science libraries indico.cern.ch/event/1019958…
Now @KyleCranmer is sharing with us MadMiner: a Python based tool for simulation-based inference in HEP! indico.cern.ch/event/1019958…
The recording for the talk is now up and linked from the contribution page on the workshop website with additional resources. youtu.be/FPkkW6EqTcw
Finally, special thanks to @mybinderteam for ensuring that we had the resources to run all of the talks and tutorials live on the Binder Federation BinderHubs! We really appreciate it and the awesome #Binder team. mybinder.org/
And here's the group photo for the "Pacific sessions" of the #PyHEP2020 workshop! indico.cern.ch/event/882824/
Ever wanted to remotely control your test bench with #Python? @UTAustin's Charles Burton tells #PyHEP2020 how in his talk on Integrated Data Acquisition! indico.cern.ch/event/882824/…
Check out the group photo from the "Atlantic" session of #PyHEP2020 today! Lots of physics Pythonistas calling in from all around the world. :) indico.cern.ch/event/882824/
.@HenrySchreiner3 and Hans show #PyHEP2020 the state of boost-histogram and the histogramming ecosystem in the Scikit-HEP toolkit. indico.cern.ch/event/882824/… Also showing off some beautiful pull plots with the upcoming hist library. :)
Hans Dembinski shares with #PyHEP2020 some of the nice work that has been done on #iminiuit in the last year and what is in the works (for one of the most loved minimizers in #HEP). indico.cern.ch/event/882824/…
Following up the theme of #autodiff, @phi_nate gives #PyHEP2020 a talk about the #neos project and treating a physics analysis as a differentiable program! indico.cern.ch/event/882824/…
.@lukasheinrich_ just gave #PyHEP2020 a wonderful and in-depth tutorial on an introduction to automatic differentiation with some example use cases in #HEP! indico.cern.ch/event/882824/… #autodiff
Really nice talk by @CMSExperiment's Matteo Bonanomi on high granularity calorimeter test beam analysis being given at #PyHEP2020 with some beautiful Jupyter notebooks! :) indico.cern.ch/event/882824/…
Kyungeon Choi tells #PyHEP2020 about @iris_hep's ServiceX and gives a nice live demo during the talk! ServiceX provides on-demand data transformation and delivery for the present and HL-LHC Era of analysis. indico.cern.ch/event/882824/…
The Ganga tutorial at #PyHEP2020 was a great example of the power of @mybinderteam. As Ulrik shows us his screen while he live codes all of #PyHEP can code along with him in the EXACT same environment! :) indico.cern.ch/event/882824/… (Left Ulrik's screen, Right @HEPfeickert's)
"Using @ProjectJupyter Lab was game changing for the Rubin team!" - Nate Lust #PyHEP2020 Keynote 1 teapawt.net/PyHEPConf/status/12828…
Nate Lust of the Rubin Observatory gives the first keynote of #PyHEP2020 on "the software behind the science" of what goes into the Rubin Observatory data analysis pipeline! indico.cern.ch/event/882824/…





















