Week	Topics Covered	Lectures	Exercises / Labs
1	Environment setup, Git & GitHub, virtual environments, I/O, variables, data types, dynamic typing, conditionals	00–05a	0, 1
2	Control flow: for/while loops, lists, comprehensions, tuples, sets	05–06	2, 3
3	Strings, dictionaries, file handling	07–09	4, Lab 1
4	Error handling, functions, matplotlib basics	10–11	Lab 1
5	OOP fundamentals: classes, objects, methods, attributes, dunder methods		Lab 1
6	OOP inheritance and polymorphism		Lab 2
7	Modules, paths, Pydantic data validation		Lab 2
8	Unit testing with pytest		Lab 2