Learn Python programming from scratch
Learn how the Python __init__ constructor method works, how to design it for clean object initialization, and patterns for required and optional attributes.
Learn the best practices for initializing Python objects, from designing clean constructors to handling optional attributes and avoiding common initialization mistakes.
Learn what encapsulation means in Python, how it helps you hide internal implementation details, and the Pythonic approach to controlling attribute access.
Learn how Python uses naming conventions for public, protected, and private class members, and how to apply underscore prefixes to control attribute visibility.
Learn how single inheritance works in Python, how to extend a parent class with additional attributes and methods, and patterns for building clean class hierarchies.
Learn how Python multiple inheritance works, how the method resolution order determines which parent method is called, and when to use multiple parents safely.
Learn how to override parent class methods in Python, when to extend behavior with super() versus replace it entirely, and patterns for clean method overriding.
Learn the different ways Python classes can relate to each other, from inheritance and composition to association and dependency, and how to choose the right relationship.
Learn the most commonly used Python magic methods beyond __init__, from container-like behavior to type conversion and context managers.
Learn the difference between Python's __str__ and __repr__ magic methods, when to use each, and how to implement both for clear, debuggable objects.
Apply Python OOP concepts by building a complete library management system with classes for books, members, loans, and the library itself.
Apply everything you have learned about Python OOP by building a complete project from scratch, from planning classes to writing tests and organizing code.
