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On-site training courses in Toulouse

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On-site training courses in Toulouse

If you attend one of these training courses, please consider adding a short review in the corresponding section below. Feedback (content, difficulty, usefulness) is very valuable for improving and maintaining this list.

The training courses listed below are selected to meet the needs of L2IT, as identified by the Task Force. They are delivered regularly and are open to members of L2IT in Toulouse.

CALMIP - Introduction to HPC computing systems

  • Frequency: 1–2 times per year
  • Location: CALMIP, Espace Clément Ader
  • Language: French
  • Target audience: Researchers, PhD students, and interns who need to use HPC resources

Description: The Midi-Pyrénées computing center (CALMIP) offers introductory sessions on the use of supercomputers (notably its system Olympe until 2025). Topics include system access, module environments, job submission, and storage usage. The content is transferable to other HPC systems (CC-IN2P3, TREX, etc.).

Reviews:

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IMFT / Toulouse INP - Linux usage

  • Frequency: Once per year (spring)
  • Location: Institut de Mécanique des Fluides de Toulouse, Île du Ramier
  • Language: French, English slides
  • Target audience: Beginners in Linux systems

Description: Training provided by CoSiNus (IMFT). Introduction to Linux: terminal, file systems, basic commands, and SSH remote access.

Reviews:

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IMFT / Toulouse INP - Git and GitLab

  • Frequency: Once per year (spring)
  • Location: Institut de Mécanique des Fluides de Toulouse, Île du Ramier
  • Language: French, English slides
  • Target audience: Beginners in Git

Description: Introduction to Git version control, basic workflows, remote repositories, and GitLab usage. Includes a practical session with conflict resolution exercises.

Reviews:

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OMP - Introduction to Julia for beginner scientists

  • Frequency: 1–2 times per year
  • Location: IRAP / OMP
  • Language: French
  • Target audience: Beginner scientists

Description: Introduction to the Julia programming language as an alternative to Python, with performance close to compiled languages. Based on Jupyter notebooks over half a day.

Reviews:

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