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BEGIN:VEVENT
SUMMARY:HSF/IRIS-HEP Python for Analysis Training
DTSTART;VALUE=DATE-TIME:20251210T130000Z
DTEND;VALUE=DATE-TIME:20251210T211500Z
UID:225365443608
DESCRIPTION:Event URL: https://indico.cern.ch/event/1616742/\n\n \nWe are 
 very excited to announce a workshop on Python for Analysis in HEP organise
 d through the HEP Software Foundation and IRIS-HEP \nThe times for the w
 orkshop are in US Eastern time zone.\nWe will cover the fundamentals of:
  \nPython for analysis – how to analyze data in Python either with PyRO
 OT or with the tools from Scikit-HEP\n \nThis training is aimed at those 
 who are new to HEP and want a fast-track to competency with software fund
 amentals\, as well the non-expert self-taught who wish to ensure they do 
 not have gaps in their knowledge.\nIt will be taught by tutors expert in H
 EP software. Interactive hands-on sessions  lead by the tutor will be s
 upported by a number of helpers to ensure all participants are able to fol
 low and understand the material.\nGiven the limited number of participants
 \, all participants are expected to attend the whole workshop.\nThis is a 
 virtual event and no payment or travel is required for attending.  Partic
 ipants are required to have their own laptop for the workshop.\nPlease con
 tact the organizers (email us) in case of any questions.\nNotes for Partic
 ipants\nPlease log in to indico to see all links in the menu bar on the le
 ft.\nTo participate in  discussions for the workshop we use a slack chann
 el. You should receive a slack invite via email before the workshop. Make 
 sure to join. All software training related communication should be made v
 ia slack.\nMake sure you complete the setup instruction below BEFORE the e
 vent. Should there be any questions\, please ask in the Slack channel.\nTo
  participate in the workshop\, you will need access to the software descri
 bed below "prerequisites". In addition\, you will need an up-to-date web b
 rowser.\nPlease note that the workshop will be recorded and that the video
 s will be publicly available.\nPrerequisites\nFor a video walk-through of 
 the installation process\, please visit the indico page of our previous ev
 ent.\nPython\nPython is a popular language for research computing\, and g
 reat for general-purpose programming as well. Installing all of its resear
 ch packages individually can be a bit difficult\, so we recommend Anacond
 a\, an all-in-one installer.\nRegardless of how you choose to install it\,
  please make sure you install Python version 3.x (e.g.\, 3.7 is fine).\n
 We will teach Python using the Jupyter notebook\, a programming environme
 nt that runs in a web browser. For this to work you will need a reasonably
  up-to-date browser. The current versions of the Chrome\, Safari and Firef
 ox browsers are all supported (some older browsers\, including Internet 
 Explorer version 9 and below\, are not).\nROOT\nROOT is an open-source dat
 a analysis framework widely used by high-energy physicists. In all the HEP
  experiments it has become a fundamental tool\, and you will have to learn
  the basics. You can read more about ROOT on the official webpage.\nFor th
 is workshop\, no ROOT installation is required. Instead\, we will use ROOT
  via Jupyter Notebooks. Before the workshop starts\, please visit https://
 github.com/root-project/student-course and read the instructions on the ma
 in page. Open GH Codespaces and let it load. You do not need to do anythin
 g else before the workshop. In case you have a CERN Computing account\, yo
 u can also use SWAN with the Bleeding Edge configuration. If so\, please c
 lick on the SWAN icon and verify that you can open the student-course fold
 er. In case of any issues\, we can solve them at the beginning of the ROOT
  session.\nIf you want to install ROOT on your machine (not needed for thi
 s workshop)\, please follow the [Installing ROOT](https://root.cern/instal
 l/) webpage\nScikit-HEP\nThe Scikit-HEP project is a community-driven and 
 community-oriented project with the aim of providing Particle Physics at l
 arge with an ecosystem for data analysis in Python.\n\nHow to participate\
 n\nRun the JupyterLab code with us\, altering examples and asking "what if
 " questions along the way. Please\, visit https://github.com/ianna/2025-06
 -20-hsf-iris-hep-uproot-awkward-tutorial and read the instructions on the
  main page.\n\nRunning everything on your own computer\n\nEverything can b
 e installed with conda\, standard mechanism for installing Python packages
 . See environment.yml for a list of package names and versions.\nInstructo
 rs\n\nVincenzo Eduardo Padulano (CERN)\nSilia Taider (CERN)\nSudhir Malik 
 (UPRM)\nAndres Rios-Tascon (Princeton University) \n\nMentors:\n\n \n\n
  \nLocal organising committee:\n\nMichel Hernandez-Villanueva (BNL)\nRich
 a sharma (UPRM)\nValeriia Lukashenko (University of Zurich)\nAlexander Mor
 eno (Universidad Antonio Nariño)\n\n \n \n \n\nhttps://indico.cern.ch/
 event/1616742/
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