i2i 2026

Liste des Contributions

1. The Unix Shell (18 seats available)

Michel Jouvin (IJCLab)

07/04/2026 09:00

(18 seats available on a first-come, first-served basis)

The Unix shell has been around longer than most of its users have been alive. It has survived because it’s a powerful tool that allows users to perform complex and powerful tasks, often with just a few keystrokes or lines of code. It helps users automate repetitive tasks and easily combine smaller tasks into larger, more...

2. Git Survival Guide (4 seats available)

Michel Jouvin (IJCLab)

07/04/2026 14:00

(4 seats available on a first-come, first-served basis)

In this survival guide, we will explore how to effectively use Git to manage and access the version history of any set of text files (code, manuscripts written in LaTeX, etc.), both in the context of team an personal projects. Specifically, we will cover the following points:
- Initializing a Git repository
- Tracking changes...

19. Containers (15 seats available)

Vincent Rouvreau (INRIA)

08/04/2026 09:00

(15 seats available on a first-come, first-served basis)

This training aims to give a taste of Docker with a hands-on experience. Docker concepts and its architecture will be explained in their basics. The main objective of this training is to show a complete workflow that could be useful to everyone.

By the end of the course, participants should have a basic understanding of the...

17. GitLab Projects and Continuous Integration (17 seats available)

Vincent Rouvreau (INRIA)

08/04/2026 14:00

(17 seats available on a first-come, first-served basis)

This course is NOT ABOUT GIT; we will focus on using GitLab for software project management. You will learn to leverage GitLab's features to facilitate collaborative development, automate your tests, and publish code releases. Specifically, we will cover the following points:
- Creating a project in GitLab
- Managing members...

3. (CANCELLED) Discovering the Paris-Saclay Mesocenter and GENCI National Supercomputers

09/04/2026 09:00

CANCELLED

16. Open Data and Free/libre Software (4 seats available)

Dr Philippe Gauron (IJCLab/CNRS-Université Paris-Saclay)

09/04/2026 14:00

(4 seats available on a first-come, first-served basis)

Research is based on reproducibility and an incremental improvement process. Open Science movement has been developed to facilitate this work and relies on 3 legs: open access to publications, open data and libre software.
Topics:
• open data: organization, conditions of their publication and reuse, valorization ;
•...

10. Make Your Code More Robust 1/2 (5 seats available)

Hadrien Grasland (IJCLab), Julien Peloton (CNRS-IJCLab)

10/04/2026 09:00

(5 seats available on a first-come, first-served basis)

Discovery of software engineering tools and methodologies to write more tested,
documented code that is easier to understand and maintain.
- static analysis
- tests
- documentation
The examples will be based on the C++ and Python programming languages.

Prerequisites: some knowledge of C++ or Python.

11. Make Your Code More Robust 2/2 (5 seats available)

Hadrien Grasland (IJCLab), Julien Peloton (CNRS-IJCLab)

10/04/2026 14:00

(5 seats available on a first-come, first-served basis)

Second part of "Make Your Code More Robust". See the contribution "Make Your Code More Robust 1/2".

4. Python Traps & Pitfalls (16 seats available)

David Chamont (IJCLab - IN2P3 - CNRS)

13/04/2026 09:00

(16 seats available on a first-come, first-served basis)

First, we'll take a closer look at the basic mechanisms of the Python language, beyond what can be guessed by blindly copying and pasting examples, in order to avoid the most common traps and pitfalls. Then, we'll debate the interactions with Linux. In particular, we will talk about :
- variables semantic, duck typing,
-...

5. Object-Oriented C++ (22 seats available)

Ivana Hrivnacova

13/04/2026 14:00

(22 seats available on a first-come, first-served basis)

Get familiar with the object-oriented programming with C++. The lectures and hands-on aim to prepare students to use and/or contribute to large C++-based projects, such as Geant4.
- Introduction to object-oriented methodology
- Class definition and implementation
- Class data members and member functions/methods
- Static...

6. C++17 Initiation (13 seats available)

David Chamont (IJCLab - IN2P3 - CNRS)

14/04/2026 09:00

(13 seats available on a first-come, first-served basis)

First contact with C++, in its most used version in new physics projects : aka C++17.
The course is targeted at people who have programming experience, especially with Python. In particular, we will talk about :
- builtin types, variables, functions,
- passing arguments by value and by reference,
- type inference and...

12. CMake Survival Guide (24 seats available)

Philip Deegan (https://www.lpp.polytechnique.fr/?lang=en)

14/04/2026 14:00

(24 seats available on a first-come, first-served basis)

Introduction to CMake, which is the most widely used tool for managing C/C++ projects, especially in a cross platform context. The course is targeted at people who have some programming experience with C/C++ or Fortran.
In particular, we will talk about:
- building simple binaries and libraries
- build and running tests via...

18. Data Basics (23 seats available)

Dr Vincent LAFAGE (IJCLab)

15/04/2026 09:00

(23 seats available on a first-come, first-served basis)

Your experiments generate terabytes of measurements, simulations, and observations… yet these data often remain trapped in flat files: tedious parsing, limited sharing, frustrating sequential access.
What if you could turn raw data into structured information and solid knowledge with just a few queries?
This introductory...

7. Computations Accuracy (14 seats available)

Dr Vincent LAFAGE (IJCLab)

15/04/2026 14:00

(14 seats available on a first-come, first-served basis)

When using numbers of type float or double, are you aware that 0.1+0.2 does not equal 0.3 ? Let’s review the theory behind such pitfalls, and discuss some case studies :
- the quadratic equation in kinematics calculations
- variance calculations in data analysis
- calculations with complex numbers
- accurate summation in...

13. Introduction to Machine Learning (4 seats available)

Francoise BOUVET (IJCLab - CNRS - UPsay)

16/04/2026 09:00

(4 seats available on a first-come, first-served basis)

We will describe the main concepts of Machine Learning (ML) and give some clues to address a problem of ML. In particular, we will talk about :
- the concepts of AI/Machine Learning/Deep Learning,
- supervised/unsupervised learning,
- the preprocessing of the data,
- the general principle of the algorithm,
- the main...

14. Introduction to Deep Learning (4 seats available)

Francoise BOUVET (IJCLab - CNRS - UPsay)

16/04/2026 14:00

(4 seats available on a first-come, first-served basis)

We will describe the main concepts of Deep Learning (DL). We will focus on Multilayer Neural Network (MLP) and Convolution Neural Network (CNN).
In particular, we will talk about :
- artificial neuron,
- MLP : structure and how it works,
- CNN : structure and how it works,
- a brief review of other NN structures.
Some...

8. Make Your Code More Efficient 1/2 (4 seats available)

Hadrien Grasland (IJCLab)

17/04/2026 09:00

(4 seats available on a first-come, first-served basis)

Most computer programs are inefficient and could serve the same purpose while using 10-1000x less resources (time, energy, memory…). However, achieving this result requires know-how that is not part of the typical programming curriculum. In this course, you will learn a general methodology to make any program use computing...

9. Make Your Code More Efficient 2/2 (4 seats available)

Hadrien Grasland (IJCLab)

17/04/2026 14:00

(4 seats available on a first-come, first-served basis)

Second part of "Make Your Code More Efficient". See the contribution "Make Your Code More Efficient 1/2".