Summary  
Method overriding is an object-oriented mechanism that lets subclasses redefine parent-class methods to provide specialized behavior while preserving the same interface, enabling polymorphism via dynamic method dispatch and use of super to extend base functionality.

General domain of usage  
Graphics rendering systems

**Method overriding** is a key mechanism that enables **polymorphism** in inheritance-based object-oriented programming. It allows child classes to provide specialized implementations of methods defined in their parent classes, forming the basis of polymorphic behavior.

Definition

**Method overriding** allows objects of different types to respond in their own way to the same method calls while maintaining a consistent interface. A clear way to demonstrate this is through examples with animals, vehicles, and real-world scenarios. By using overriding, code becomes more flexible, reusable, and adaptable.

The core concepts of Method Overriding discussed include Override Mechanics, Polymorphic Behavior and `Super()` Usage:


- Child class methods replace parent class methods with same name;

- Maintains method signature while changing implementation;

- Inheritance hierarchy determines method resolution;

- Enables specialized behavior in subclasses.

Override Mechanics

- Same method call triggers different implementations;

- Parent class references can hold child class objects;

- Runtime method dispatch based on actual object type;

- Enables writing generic code that works with specialized objects.

Polymorphic Behavior

- Access parent class methods from overridden methods;
- Extend rather than completely replace parent functionality;
- Maintain code reuse while adding specialization;
- Build upon existing implementations incrementally.

Super() Usage

Which statement best describes the role of method overriding?

Learn how to build clean, secure, and scalable applications with Object-Oriented Programming in Python. Cover the fundamentals of classes and objects, then moves into advanced concepts such as inheritance, composition, polymorphism, and encapsulation. With clear explanations and practical examples, you'll develop the ability to design Python programs that are powerful, maintainable, and ready for real-world use.

Learn the core building blocks of object-oriented programming in Python. This section covers classes, objects, methods, and variables, giving you a solid base to understand how OOP organizes and structures code.

Explore how classes can share and extend functionality. You'll learn different inheritance patterns, from simple hierarchies to multiple inheritance and abstract classes, and see how they enable code reuse and scalability.

Discover how to build flexible systems by combining objects. Instead of relying only on inheritance, you'll see how composition lets you assemble behaviors in a modular, adaptable way.

Understand how different objects can share a common interface while behaving in their own way. This section shows how method overriding, interfaces, and protocols make your code more dynamic and reusable.

Learn how to safeguard internal data and control access to class attributes. You'll explore private attributes, getters and setters, and data-hiding techniques that keep your classes secure and maintainable.

Overriding Methods

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Overriding Methods