Python introduction light course
Date: 26 May - 2 June 2026
Duration: P1DT8H
Language of instruction: English
This training is designed for researchers and support staff who are new to Python and need a gentle introduction before attending more advanced courses, such as Python for spatial data analysis. It addresses the common challenge of navigating Python-based workflows without prior coding experience. You will gain practical familiarity with Python environments, syntax, and basic operations, enabling you to understand and adapt existing scripts used in research contexts. While it won't teach you to write Python code from scratch, it will equip you with the foundational knowledge needed to follow and modify scripts in future training events. For those seeking to develop full scripting skills, we recommend the "Programming in Python: master your own project" course. This online training introduces participants to the basics of Python in a research context. Through guided exercises and demonstrations, participants are expected to follow along in Jupyter notebooks, explore Python syntax, and practice modifying simple scripts.
Keywords: programming
Learning objectives:
- “Apply conditional statements to control the flow of simple Python scripts”
- “Explain the purpose and structure of Python functions including arguments and return values”
- “Identify basic Python data types such as lists tuples and dictionaries”
- “Modify existing Python scripts to adapt them to specific research needs”
- “Set up a Pyhton environment and install packages relevant to data analysis workflows”
- “Use Jupyter notebooks to run and modify existing Python code cells”
Organizer: VIB (https://ror.org/03xrhmk39)
Event types:
- Workshops and courses
Instructors: 
Janick Mathys
Activity log
