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HSF/IRIS-HEP Python for Analysis Training (Virtual)
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Description
We are very excited to announce a workshop on Python for Analysis in HEP organised through the HEP Software Foundation and IRIS-HEP
The times for the workshop are in US Eastern time zone.
We will cover the fundamentals of:
Python for analysis – how to analyze data in Python either with PyROOT or with the tools from Scikit-HEP.
This training is aimed at those who are new to HEP and want a fast-track to competency with software fundamentals, as well the non-expert self-taught who wish to ensure they do not have gaps in their knowledge.
It will be taught by tutors expert in HEP software. Interactive hands-on sessions lead by the tutor will be supported by a number of helpers to ensure all participants are able to follow and understand the material.
Given the limited number of participants, all participants are expected to attend the whole workshop.
This is a virtual event and no payment or travel is required for attending. Participants are required to have their own laptop for the workshop.
Please contact the organizers (email us) in case of any questions.
Notes for Participants
Please log in to indico to see all links in the menu bar on the left.
To participate in discussions for the workshop we use a slack channel. You should receive a slack invite via email before the workshop. Make sure to join. All software training related communication should be made via slack.
Make sure you complete the setup instruction below BEFORE the event. Should there be any questions, please ask in the Slack channel.
To participate in the workshop, you will need access to the software described below "prerequisites". In addition, you will need an up-to-date web browser.
Please note that the workshop will be recorded and that the videos will be publicly available.
Prerequisites
For a video walk-through of the installation process, please visit the indico page of our previous event.
Python
Python is a popular language for research computing, and great for general-purpose programming as well. Installing all of its research packages individually can be a bit difficult, so we recommend Anaconda, an all-in-one installer.
Regardless of how you choose to install it, please make sure you install Python version 3.x (e.g., 3.7 is fine).
We will teach Python using the Jupyter notebook, a programming environment 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 Firefox browsers are all supported (some older browsers, including Internet Explorer version 9 and below, are not).
ROOT
ROOT is an open-source data 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.
If you have installed Python via Anaconda, ROOT is available as a conda package. We suggest using a conda environment since it will bring in everything that you need, including Jupyter. On the Installing ROOT webpage, you will find the instructions to set up the environment.
Scikit-HEP
The Scikit-HEP project (HEP stands for High Energy Physics) is a community-driven and community-oriented project with the aim of providing Particle Physics at large with an ecosystem for data analysis in Python.
You can read more about Scikit-HEP on the official webpage.
The setup instructions for the training event are here (https://hsf-training.github.io/hsf-training-scikit-hep-webpage/setup.html. We recommend using GitHub codespaces.
Instructors
- Vincenzo Eduardo Padulano (CERN)
- Marta Czurylo (CERN)
- Jonas Rembser (CERN)
- Henry Schreiner (Princeton)
Mentors:
- Alexander Moreno (Universidad Antonio Nariño)
- Richa Sharma (UPRM)
- Roy Cruz Candelaria (Physics Department, UPRM)
- Andres Rios-Tascon (Princeton University)
Local organising committee:
- Sudhir Malik (UPRM, IRIS-HEP)
- Jim Pivarski (Princeton University)
- Alexander Moreno (Universidad Antonio Nariño)
- Richa Sharma (UPRM)
- Lera Lukashenko (University of Zurich)
- Holly Szumila-Vance (Jefferson Lab)
Videoconference
Software Carpentry (Virtual)
- Zoom Meeting ID
- 66360376183
- Host
- Sudhir Malik
- Alternative hosts
- Guillermo Antonio Fidalgo Rodriguez, Richa Sharma
- Useful links
- Join via phone
- Zoom URL
-
Registration
Registration Form
Participants
Adhavan A
Alexandra Berger
Aranya Giri
Babu Pokhrel
Bhavya Singhal
Bongani Maqabuka
Chelsea Rodriguez
Essna Ghose
Gabriela Hamilton
Gideon Bentum
Gustavo Adolfo Castrillón Yepes
Hien Nguyen
Ibrahım H.I.abushawısh
Ilgaz Kuscu
KARINA MENDOZA RAMIREZ
Lily Shukla
Mark Vakulenko
Melissa Quiñonez
Mito Funatsu
Nicholas Connell
Orhan Cakir
Quinn Summers
Rethabile Kgolobe
Rethabile Kgolobe
Riya Bisht
Rümeysa Tural
Samuel Ferraro
Shams Hassiki
Shibashis Mukhopadhyay
Umesh Joshi
Yamna Shaikh
Yash Rajesh Bhora
- +30
