HSF/IRIS-HEP Python for Analysis Training (Postponed)

This training event has been postponed and will take place later this year!

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.

For this 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 main page. Open GH Codespaces and let it load. You do not need to do anything else before the workshop. In case you have a CERN Computing account, you can also use SWAN with the Bleeding Edge configuration. If so, please click on the SWAN icon and verify that you can open the student-course folder. In case of any issues, we can solve them at the beginning of the ROOT session.

If you want to install ROOT on your machine (not needed for this workshop), please follow the [Installing ROOT](https://root.cern/install/) webpage

Scikit-HEP

The Scikit-HEP project 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.

Run 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.

Everything can be installed with conda, standard mechanism for installing Python packages. See environment.yml for a list of package names and versions.

Instructors

• Vincenzo Eduardo Padulano (CERN)
• Jonas Rembser (CERN)
• Andres Rios-Tascon (Princeton University)
   

Local organising committee:

• Michel Hernandez-Villanueva (BNL)
• Richa sharma (UPRM)
• Valeriia Lukashenko (University of Zurich)
• Alexander Moreno (Universidad Antonio Nariño)