In this course, you will become familiar with tools and best practices for
scientific software development. This course will not teach a programming
language, but we teach the tools you need to do programming well and avoid
common inefficiency traps. The tools we teach are practically a requirement for
any scientist who needs to write code. The main focus is on using
Git for efficiently writing and maintaining research software.
Do you identify with any of these below, then this course is for you:
- You write scripts to process data.
- You change scripts written by your colleagues.
- You write code that is used in research by you or others.
- You wish you could re-run your own code after a few months.
- You wish you could reproduce your own results better.
- You wish you could automate your work better.
- You, or your group, can't share or reuse code.
- You overall want to become more efficient at your work, by using the
best possible tools.
This course is not designed for "professional software engineers" or to make
you one. You can register with your friends/group as a team and you'll
work together in exercise rooms, and you'll be able to work together after the
course as well.
What we will not teach
This is not a course about a specific programming language or the Linux/Unix
terminal shell. We assume that you are somehow familiar with the programming
language that you use in your work and research. Most of the course applies to
any programming language.
This is an informal and interactive event with type-along lessons, live coding,
The workshop will be held on-site, in the Ångström laboratory, Uppsala, Sweden.