Practical Skills for Data Analysis and Scientific Computing

14 Jan 2019, 10:00 → 16 Jan 2019, 19:00 Europe/Berlin

Seminar Room Ground Floor (CSBD)

Ian Henry, Peter Steinbach, Stephan Janosch

This course will teach you practical skills to automate your research, with a focus on reproducibility and reusability. The training will be very hands-on and is aimed at teaching essential skills, so that those with little idea of scientific computing can gain the most in terms of impact on their research. 

How far we get through these topics will depend on the previous knowledge of the group, but everyone should gain something from the course no matter what your skill level.

- If you've ever overwritten the wrong file, we'll show you how to use version control.

- If you've ever spent hours typing the same commands over and over again, we'll show you how to automate those tasks using simple scripts.

- If you've ever spent an afternoon trying to figure out what the program you wrote last week actually does, we'll show you how to break your code into modules that you can read, debug, and improve piece by piece.

Topics covered:

• how to automate repetitive tasks (the unix shell)
• how to track and share work efficiently (version control using git)
• the basics of programming in Python

According to MPI CBG regulations, € 100,- per day and per participant (€ 300,- for all 3 days) will be charged to the group leaders service and facility budget. Please consult with your group leader before the workshop to receive permission.

codingskills-mpicbg-01-2019-final.pdf codingskills-mpicbg-01-2019-final.txt online notes