About
This two-day course offers a practical introduction to Python for participants with little or no prior experience. Topics include core Python syntax, data structures, file handling, object-oriented programming, and data visualisation using numpy, pandas, and matplotlib.
This course serves as a recommended prerequisite for the Statistics in Python course taking place 3.–4. 6. 2026.
Details
Dates: 25.–26. 5. 2026
Location: Institute of Molecular Genetics of the Czech Academy of Sciences, Vídeňská 1083, Praha 4, Jágr’s hall
Maximum capacity: 25 participants
Programme
Day 1 — Python Programming for Beginners
- Variables, basic data types, and operators
- Program flow: loops, conditionals, and functions
- Built-in data structures: lists, tuples, sets, and dictionaries
- File handling, exception handling, and object-oriented programming
Day 2 — Data Visualisation with Python
- Introduction to numpy and pandas for data manipulation
- Data visualisation using matplotlib
- Introduction to image data handling with numpy
Instructors
The course is taught by Priit Adler and Marilin Moor from the Institute of Computer Science, University of Tartu.
Requirements
No prior experience with Python is required. Participants are encouraged to bring their own laptops with specific software installed; workstations will be provided upon request. Software requirements will be communicated to all participants upon registration.
Registration
More details coming soon.
