Hi @all We are looking for PhD students in in physics, computer science, and data science to attend a three-day OpenHack in September to analyze real physics data from the LHCb experiment at CERN using Microsoft AI technologies.
An OpenHack is challenge rather than instruction-based. Students will work directly with physicists from CERN and Cloud Advocates from Microsoft. They will progress through these challenges to analyze data from LHCb and search for the “unexpected” in particle collisions:
Data exploration and visualization Classification and anomaly detection Source control and automation AML experimentation AML for hyperparameter tuning Real-world application of data
The OpenHack will be held Sept. 11-13 in northern Italy at Fondazione Bruno Kessler, a scientific research institute affiliated with CERN. Students need pay only for their travel and lodging – there is no registration fee for the OpenHack itself. We will help find lodging.
The registration form is here. Please encourage your students to attend this unique training event and to contact firstname.lastname@example.org with any questions.
Registration for the PyHEP 2019 workshop has been extended to September 15th.
As a reminder, the registration fees for the 2.5 days has been set at £80. It includes the venue, lunches, dinners, and refreshments.
We still have rooms available at Cosener’s House, the venue, available on a first-come-first-served basis.
The agenda is also shaping up with talks confirmed on topics ranging from histogramming, statistical methods, distributed workflows,
visualisation, and even GPU-programming. Two speakers from industry are confirmed, including our keynote speaker on the PyViz visualisation project.
Since the PyHEP series is all about growing a community, this year we’re also including a session of lighting talks
where 30 people can present any topic of their choosing for 3 minutes, with a single slide, as a way for everyone,
especially newcomers and early careers researchers, to introduce themselves.
Community members can also propose presentations on any topic (email: email@example.com).
We are particularly interested in new(-ish) packages of broad relevance.
Note that 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.
More details can be found on the indico page https://indico.cern.ch/e/PyHEP2019
or from the PyHEP WG homepage http://hepsoftwarefoundation.org/activities/pyhep.html.
You can also join the PyHEP WG Gitter channel (https://gitter.im/HSF/PyHEP) and/or
the HSF forum (https://groups.google.com/forum/#!forum/hsf-forum) to get more information about the workshop and community.
Hope to see you there!
Eduardo Rodrigues & Ben Krikler, for the organising committee
HSF PyHEP WG topical meeting on fitting tools, Sep. 11th @ 17h CET
Dear Python enthusiasts,
The HSF PyHEP WG is restarting activities post-Summer with topical meetings (not to be confused with the workshop in the UK ;-)).
The first one will be on the hot and important topic of fitting (tools)! It will take place on Wednesday September 11th at 17h CET.
The agenda, which you can find at https://indico.cern.ch/event/834210/, contains 2 presentations,
one from HEP, and one from an astroparticle physics community colleague:
Take this opportunity of cross-exchange to come and discuss needs, technical design, functionality requirements, etc.!
Hoping to see you there!
Eduardo, for the PyHEP WG conveners
P.S.: Note that a second topical meeting on fitting tools will likely happen as a follow-up.
Has anyone here ever been involved with Hacktoberfest: https://hacktoberfest.digitalocean.com/ ?
have two t-shirts that say "yes, I have"
"languages_url"with a "percent by file" breakdown of a repo's files by language, which could be used to do a more fine-grained study, at the cost of more curl requests. (An authenticated user gets 5000 per hour; I'd have to divide that over a few hours.) In the original study in March, I did that—but the results were not much different from the coarse-grained study, so I didn't go into that detail again.