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Python is a programming language widely used by professionals such as geographers and GIS engineers due to its versatility, efficiency, and extensive applications in the field. With Python, one can automate repetitive tasks, process large datasets, and develop customized data analyses. By learning Python, engineers and researchers can enhance their problem-solving abilities, streamline their workflows, and tackle advanced spatial analyses.
In this course, fundamental Python concepts are explored and applied, including:
- Iterative tasks and conditional statements
- Development and implementation of functions
- Basic data analysis (reading, transforming, and extracting information to solve problems)
- Data visualization
The programming environment utilized is an interactive one (Jupyter Notebooks). Jupyter-Lab can be accessed through both cloud-based websites and local installations. The course includes lectures that discuss specific topics related to Python programming and exercises related to the topic covered. Finally, a project assignment is carried out based on the knowledge acquired in the course.

Admission requirements: 60 ECTS credits of a technical or natural science education, upper secondary level Swedish 3 or Swedish as a Second Language 3, and English 6, or equivalent.

Progressive specialisation: A1N (has only first‐cycle course/s as entry requirements)

Education level: Master's level

Selection:

Selection is usually based on your grade point average from upper secondary school or the number of credit points from previous university studies, or both.