Best practices for scientific computing

Material for a training on best practices for scientific computing.

Programming languages

Although this training aims to be programming language-agnostic, the repository also list a number of tools that are programming language-specific. Obviously, this can not be exhaustive, so feel free to suggest additional tools if you are aware of any.

Programming languages covered:

• C
• C++
• Fortran
• Python
• R

Table of contents

1. Syntax versus semantics
2. Code style and conventions
3. Version control & collaboration
4. Code documentation
5. Testing
   • Testing as experiments
   • Unit testing
   • Functional testing
   • Code coverage
6. Optimization
7. Deployment
8. Continuous integration
9. Reproducibility
10. References
11. Tools
    • C
    • C++
    • Fortran
    • Python
    • R
12. Training