Preliminaries

We would like that the participants start the training with their own computer ready. We will present how to install and setup few tools:

• (only for Windows users), an operating system (Linux Ubuntu) with the Windows Subsystem for Linux (WSL);

• Utilities like curl, wget or Meld;

• Few package managers (tools to install software):

  • only for macOS: Homebrew,

  • related to Python and PyPI: Pipx and UV,

  • related to conda-forge: Miniforge and Pixi;

• Editors and IDE: VSCode, Spyder and JupyterLab;

• Versioning tools: Git and Mercurial.

The installation and setup methods depend a bit on the operating system running on your computer so we have specific pages for different cases.

Note

If you encounter problems, please fill an issue in the py-edu-fr issue tracker to explain what you did and what are the errors (please copy / paste the error log). It is also a good exercice to learn how to use an issue tracker and to interact to find a solution to your problem.

Table of contents

• About setting up a computer for scientific computing
• Notes for Windows users
• Notes for macOS users
• Notes for Linux and WSL users
• Python
• Conda ecosystem
• Editors/IDE
• Versioning tools
• Clone the repo of this training