Fundamentals 6 min read

Master Python Method Overriding and Simulated Overloading with super() and multipledispatch

This article explains Python's method overriding and how to use the super() function to extend parent behavior, then shows how to simulate method overloading with the multipledispatch library and @dispatch decorator, providing clear code examples and a concise comparison of the two concepts.

Code Mala Tang
Code Mala Tang
Code Mala Tang
Master Python Method Overriding and Simulated Overloading with super() and multipledispatch

What is Method Overriding in Python?

In Python, method overriding occurs when a subclass defines a method with the same name as one in its parent class; the subclass version replaces the parent version when called on a subclass instance.

class Bird:
    def fly(self):
        print("The bird flies in the sky.")

class Parrot(Bird):
    def fly(self):
        print("The parrot flaps its wings and flies.")

b = Bird()
p = Parrot()
b.fly()
p.fly()

As shown, the Parrot class inherits from Bird and provides its own fly method, which overrides the parent implementation.

Using the super() Function

When you want to extend the behavior of the parent method instead of completely replacing it, super() lets you call the parent’s method from the overriding method.

class Bird:
    def fly(self):
        print("The bird flies in the sky.")

class Parrot(Bird):
    def fly(self):
        super().fly()
        print("The parrot flaps its wings and soars!")

p = Parrot()
p.fly()

Here, Parrot first invokes Bird.fly() via super() and then adds its own statement.

What is Method Overloading in Python?

Many languages such as Java or C++ allow multiple methods with the same name but different parameter lists; the interpreter selects the appropriate version based on the arguments.

Python does not natively support overloading—defining multiple methods with the same name simply overwrites the previous one.

However, you can simulate overloading with the multipledispatch library.

pip install multipledispatch

Then use the @dispatch decorator to define different versions of a method:

from multipledispatch import dispatch

class Calculator:
    @dispatch(int, int)
    def add(self, a, b):
        print("Sum of two integers:", a + b)

    @dispatch(int, int, int)
    def add(self, a, b, c):
        print("Sum of three integers:", a + b + c)

calc = Calculator()
calc.add(3, 5)
calc.add(3, 5, 7)

In this example, the Calculator class has two add() methods sharing the same name but differing in the number of parameters; the @dispatch decorator directs Python to call the appropriate version.

Conclusion

Method overriding and method overloading sound similar but address different problems.

Overriding allows a subclass to modify or extend a method inherited from its parent.

Overloading enables multiple methods with the same name but different signatures, which in Python is achieved via external tools such as the multipledispatch module and its @dispatch decorator.

Understanding these concepts helps you write flexible, readable, and maintainable object‑oriented Python code that scales with project growth.

OOPsuperMethod OverloadingMethod Overridingmultipledispatch
Code Mala Tang
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