PhD course: Python programming applied to research
The course includes a combination of lectures and practical sessions to introduce Python as a tool for handling large datasets. No prior Python knowledge is required; however Unix experience is highly recommended.
| Hours (HP) | 60 (2,5) |
| Code (s) | SC00032 |
| Week (s) | 36-40 (41) |
The following topic are covered:
- Variables
- Data types such as dictionaries, lists, sets
- In-built functions
- Control flow tools such as if, for and pass
- Statements and Comments
- Arithmetic operations
- Own functions
- Input and output
Notes
The course comprises 60 working hours where you are expected to spend time of your own to complete the exercises (self-studies)
Participants are required to bring their own computer with the corresponding administrator rights.
If you are a linux beginner or have not worked in this environment we recommend you to first take the Unix applied to genomic data course.
This course is organized by Clinical Genomics Gothenburg.