Skip to main content

Multilevel Inheritance in Python

 

Learning Sections          show

Multilevel Inheritance in Python

Multilevel inheritance is a type of inheritance where a class inherits from another class, which in turn inherits from another class, forming a hierarchy of classes. This allows for the creation of a more specific subclass that builds upon the functionality of its superclass and the superclass's superclass.

Example of Multilevel Inheritance

Let's look at an example to understand how multilevel inheritance works in Python.


# Base class
class Animal:
    def __init__(self, name):
        self.name = name

    def speak(self):
        return "Animal speaks"

# Intermediate class
class Mammal(Animal):
    def __init__(self, name, type):
        Animal.__init__(self, name)
        self.type = type

    def speak(self):
        return "Mammal speaks"

# Derived class
class Dog(Mammal):
    def __init__(self, name, type, breed):
        Mammal.__init__(self, name, type)
        self.breed = breed

    def speak(self):
        return "Dog barks"

# Create an instance of the derived class
dog = Dog("Buddy", "Domestic", "Golden Retriever")
print(dog.speak())  
    # Output: Dog barks
    
Explanation:

In this example, we have three classes: Animal, Mammal, and Dog. The Animal class is the base class with an __init__ method and a speak method. The Mammal class is an intermediate class that inherits from Animal and adds its own __init__ and speak methods. The Dog class is the derived class that inherits from Mammal, adding an additional attribute breed and overriding the speak method to provide its own implementation.

Advantages of Multilevel Inheritance
  • Hierarchical Classification: Allows for the creation of a clear hierarchical structure, making it easier to understand relationships between classes.
  • Code Reusability: Promotes code reuse by allowing derived classes to inherit and extend the functionality of base classes.
  • Specialization: Enables the creation of more specialized classes that build on the functionality of more general classes.
Disadvantages of Multilevel Inheritance
  • Increased Complexity: Can increase the complexity of the class hierarchy, making it more difficult to understand and maintain.
  • Dependency Chain: Creates a dependency chain where changes in base classes can affect all derived classes, potentially leading to unintended side effects.
Method Resolution Order (MRO)

In multilevel inheritance, the order in which methods are resolved is determined by the Method Resolution Order (MRO). The mro() method can be used to display the MRO of a class.


print(Dog.mro())  
    # Output: [<class 'Dog'>, <class 'Mammal'>, <class 'Animal'>, <class 'object'>]
    
Key Points
  • Multilevel inheritance allows a class to inherit from another class, which in turn inherits from another class, forming a hierarchy.
  • Provides hierarchical classification, code reuse, and specialization of classes.
  • Can increase complexity and create a dependency chain, requiring careful management.
  • Method Resolution Order (MRO) determines the order in which methods are resolved in the class hierarchy.

Popular posts from this blog

Classes and Objects in Python

  Learning Sections          show Classes and Objects in Python In Python, a class is a blueprint for creating objects. An object is an instance of a class. Classes allow you to logically group data and functions in a way that is easy to manage and reuse. 1. Defining a Class To define a class in Python, you use the class keyword followed by the class name and a colon. Inside the class, you can define attributes and methods. Example: # Define a class class Person : # Class attribute species = 'Human' # Class method def greet ( self ): return 'Hello, I am a person.' # Create an object of the class person1 = Person () # Access class attribute print ( person1 . species ) # Output: Human # Call class method print ( person1 . greet ()) # Output: Hello, I am a person. 2. Creating Objects To create an object of a class, you simply call the class name followed by paren...

Learn Python

  Learning Sections Introduction to Python Comment, escape sequence and print statement in Python Variables and Data Types in Python Typecasting in Python User input in Python String slicing and operations on string in Python String methods in Python If else conditional statements in Python Match case statement in Python For loops in Python While loops in Python Break and continue statement in Python Functions in Python Function Arguments in Python introduction to lists in Python List methods in Python Tuples in Python Operations on tuple in Python f strings in Python Docstrings in Python Recursion in Python Sets in Python Set methods in Python Dictionaries in Python for Loop with else in Python Exception Handling in Python Finally keyword in Python Raising custom errors in Python Short hand if else statements Enumerate Function in Python Virtual Environment in Python How import works in Python if __nam...

Introduction to OOPs in Python

  Learning Sections          show Introduction to Object-Oriented Programming (OOP) Object-Oriented Programming (OOP) is a programming paradigm that organizes software design around objects rather than actions and data rather than logic. It revolves around the concept of "objects", which are instances of classes. These objects encapsulate data, in the form of attributes or properties, and behaviors, in the form of methods or functions. OOP promotes modularity, reusability, and extensibility in software development. Key Concepts of OOP: Class: A class is a blueprint or template for creating objects. It defines the attributes (data) and methods (functions) that will characterize any object instantiated from that class. Object: An object is an instance of a class. It is a concrete realization of the class blueprint, containing actual values instead of placeholders for attributes. Encapsulation: Encapsulation is ...