Schedule¶

Daily schedule¶

Schedule for each day (using German local time):

10:00-12:30	Lectures (including break)
14:00-17:00	Tutors available for help with exercises

Morning: About 2 hours of taught material (with short break) delivered in lecture (via Zoom)
Afternoon: Self-paced problem solving during which students attempt programming exercises. Feedback on completed solutions is provided by a robot, and tutors are available to seek advice.

Day 1: Slides 1 to 64

quick install with pixi, Python and IPython, prompt, REPL, Spyder, variables, print, type, help, dir, B, functions, import, bools, if-else, raising exceptions, lab1

Day 2: Slides 65 to 101, and 107-111

Day 3: Slides 103 and, 112 to 138

FIFO exercise, first plot, file input/output, string parsing, modules, name spaces, plotting data from csv file (1)

Day 4: Slides 169 to 225

catching exceptions, print and f-strings, dictonary, default and keyword arguments, venvs, pip, pixi, numpy

Day 5: Slides 226 to 256

Python for Computational Science part 1

Installation session on Friday 31 January at 10:00
Course takes place: Monday 3 February to Friday 7 February 2025, daily 10:00 to 17:00

Python for Computational Science part 2

Course takes place: Monday 17 February to Friday 21 February 2025, daily 10:00 to 17:00

We will be using Zoom, and the links will be shared with you.

There are no credit points, certificates or attendance confirmations available for (the voluntary) participation in this course.