Programming in Python - Beginner Level

Python code is relatively easy to read and understand and has a vast number of practical applications, including everything from the sciences to the arts. Furthermore, the skills you’ll pick up in this course will be transferable to other programming languages.

Python is currently in high demand; it’s a programming language that has enjoyed a meteoric surge in popularity among professionals.

With supervised practicals and assignments that will be evaluated, students will learn how to program through active coding. As such, this course encourages an environment of independence where students can feel secure in their own understanding and application of Python.

Who can join?

This course is suitable for anybody with an interest in learning to program a computer using Python. Master's students and PhD candidates of diverse backgrounds (natural or social sciences, humanities) can benefit from this course. The course is practical, not theoretical.

However, programming is a form of problem-solving that requires structured, logical thought.

Lectures will be light yet highly interactive, with many small exercises to engage student’s abilities under professional guidance. Course topics include, but are not limited to:

• Computer programming concepts
• Programming as a problem-solving tool
• The Python language
• The use of Jupyter notebook
• Best coding practices
• Debugging code
• Visualisation

By the end of this course, students :

• Know how to use Google Colab as a Python programming environment
• can analyze problems and devise algorithmic solutions
• can read, write and debug Python code
• can make graphics
• know how to use self-study to progress further with Python