Python: programming for scientists, group 5

This week-long intensive course is intended for students and researchers interested in learing Python for their daily computational needs. No prior programming experience is required.

The course aims to provide a solid background in standard Pythonic methods used in scientific computing. Each day will be part lecture and part interactive programming. Topics include data structures, ways to read/write and visualise data, an introduction to Numerical and Scientific Python (NumPy and SciPy), and data fitting methods.

The course this year will be held online using HeiCONF. The link for the room is here and you will be emailed the password a few days before the course begins.

You will be provided with three problem sheets during the course, which will be marked, and you will need at least 60% of the total points to pass. There is no grading, just a pass or fail. 

The first two problem sheets are to be handed in during the week of the course, while the last one has to be submitted a week later.