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  1. Python
  2. OOP: A Comprehensive Guide
Operator Overloading : Exception Handling
OOP: A Comprehensive Guide

Abstract Classes

Abstract classes are classes that cannot be instantiated directly. They serve as base classes for other classes, defining a common interface that subclasses must implement.

Creating Abstract Classes:

To create an abstract class in Python, you use the abc module and the @abstractmethod decorator:

Python

from abc import ABC, abstractmethod

 

class Animal(ABC):

  @abstractmethod

  def make_sound(self):

    pass

Key Points:

  • Abstract classes are defined using the ABC class from the abc module.

  • The @abstractmethod decorator marks methods as abstract.

  • Abstract methods must be implemented in subclasses.

  • You cannot create instances of abstract classes directly.

Example:

Python

class Dog(Animal):

  def make_sound(self):

    print("Woof!")

 

class Cat(Animal):

  def make_sound(self):

    print("Meow!")

 

# Trying to create an instance of the abstract class will raise an error:

# animal = Animal()  # TypeError: Can't instantiate abstract class Animal with abstract method make_sound

Benefits of Abstract Classes:

  • Enforce common interface: Ensure that subclasses implement required methods.

  • Promote code reusability: Provide a base class for derived classes.

  • Improve code organization: Define a clear structure for related classes.

Cautions:

  • Abstract classes cannot be instantiated directly.

  • All abstract methods must be implemented in subclasses.

  • Overusing abstract classes can make code more complex.

By understanding abstract classes, you can create more structured and maintainable object-oriented programs in Python.

Operator Overloading Exception Handling
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