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Object-Oriented Programming in Python

Master object-oriented programming (OOP) fundamentals with Python through comprehensive hands-on exercises and real-world examples. Learn to design and implement classes, objects, inheritance hierarchies, and polymorphic behavior. Understand the four pillars of OOP: encapsulation, inheritance, polymorphism, and abstraction. Build maintainable and scalable code using advanced OOP concepts including special methods, property decorators, abstract base classes, and composition patterns. Perfect for learning how to create Python applications using object-oriented design principles.

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Course Chapters

1

Classes and Objects

Master the fundamentals of object-oriented programming by learning to create and use classes and objects in Python. Understand class and instance attributes, the __init__ method, instance methods, and how to work with multiple objects. Build a solid foundation for advanced OOP concepts.

17 lessons
2

Method Types

Learn the different types of methods in Python classes: instance methods, class methods, and static methods. Understand when and how to use @classmethod and @staticmethod decorators, and master alternative constructors for flexible object creation.

10 lessons
3

Special (Magic) Methods

Master Python's special methods (magic methods) to customize object behavior and make your classes integrate seamlessly with Python's built-in functions. Learn to implement string representation, equality comparisons, ordering, arithmetic operations, and truth value testing using dunder methods.

13 lessons
4

Encapsulation

Learn encapsulation principles to control access to your class data and methods. Master protected and private attributes, property decorators, and getter/setter patterns. Build secure, maintainable classes that protect internal state while providing controlled interfaces for external interaction.

14 lessons
5

Inheritance

Master inheritance to create class hierarchies and reuse code effectively. Learn method overriding, constructor chaining, and the super() function. Understand how to extend parent classes, override methods with extension or replacement, and use isinstance() for type checking in inheritance relationships.

13 lessons
6

Polymorphism

Learn polymorphism to write flexible code that works with objects of different types through a common interface. Master polymorphic method calls, duck typing, multi-level inheritance, and polymorphic functions that adapt to different object types automatically.

13 lessons
7

Abstraction

Master abstraction to design clean interfaces and enforce implementation contracts. Learn abstract base classes, abstract methods, and the ABC module. Create robust class hierarchies with abstract properties and default implementations that guide proper inheritance patterns in your Python applications.

15 lessons
8

Composition

Learn composition as an alternative to inheritance for building complex objects from simpler components. Master object delegation, building objects inside objects, and understand when to choose composition over inheritance for flexible, maintainable code design.

11 lessons