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# Concepts

- Two days workshop, 1.5 days course + 0.5 day working on own data / prepared data.
- smooth learning curve
- explain fundamental concepts first, discuss  exceptions, corner cases,
  pitfalls late.
- plotting / pandas? / numpy first. Else participants might be fight with these
  basics during coding sessions and will be disctracted from the actual
  learning goal of an exercise.
- jupyter notebooks / conda, extra notebooks with solutions.
- use prepared computers in computer room, setting up personal computer during last day if required.
- exercises: empty holes to fill

TBD: