Programming in Python - Temporary Lecturer

Module: Programming in Python (24h) - Lecture (12h), Lab (8h), and Project (4h) - Personal work (2h-4h per week)

Full creation of the course, including slides, exercises, and projects.

Class 1: Introduction to Python

• Programming basis (definition, history, and applications)
• Installation of Python and Jupyter Notebook, virtual environments
• Variables
• Types (int, float, str, bool)
• Operators (arithmetic, comparison, logical)

Class 2: Conditional statements, loops, and functions

• Conditional statements (if, elif, else)
• Loops (for, while)
• Functions (definition, arguments, return)
• Generators
• Conventions (Docstrings, PEP8)

Class 3: Data structures

• Strings (definition, methods)
• Lists (definition, methods)
• Tuples (definition, methods)
• Dictionaries (definition, methods)
• Sets (definition, methods)

Class 4: Exceptions, Files, Object-oriented programming

• Exceptions (definition, handling)
• Files (reading, writing)
• Modules (definition, import, creation)
• Packages (definition, installation, creation)
• Object-oriented programming (definition, classes, objects, inheritance, polymorphism)

Class 5: Introduction to NumPy, Pandas and Matplotlib

• Back to data structures (NumPy arrays, Pandas DataFrames, classes)
• Data computation (NumPy)
• Data manipulation (slicing, indexing, filtering)
• Data visualization (Matplotlib)