Essential Computing Tools for Scientists
Tools for reproducible computational research: VSCode and Jupyter for interactive coding, Conda and Pixi for environment management, and Git and GitHub for version control and collaboration.
Authors
This course introduces essential tools for reproducible research and collaborative coding. It covers environment management with Conda and Pixi, focusing on creating isolated environments, managing dependencies, and sharing configurations. Git is presented as a version control system for tracking changes and maintaining project history, while GitHub extends these capabilities to cloud-based collaboration. Learners will gain practical skills in creating environments, committing changes, pushing to remote repositories, and contributing to open-source projects through forks and pull requests.
Credits
Installation
To run the materials for this course, it is recommended that you:
- Install VSCode as your editor
- Install Pixi or alternatively Conda to create virtual environments
- Install Git for version control
- Create a GitHub account