Polymorphism in Python- Detailed Explanation • An overview of polymorphism with examples and real-life applications.
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What is Polymorphism? •• Derived from Greek: 'Poly' (many) + 'Morph' (forms) • • Ability of an object to take multiple forms • • Same function/method behaves differently based on the object
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Why is PolymorphismImportant? • • Flexibility and code reusability • • Generalization: One function works for multiple object types • • Enhances readability and maintenance
Duck Typing Example •DuckTyping allows objects to be used interchangeably as long as they •implement the required behavior (i.e., they have the expected methods), regardless of the class they belong to. •This is why Python doesn't care about the "type" of the object, but rather if it can perform a certain action.
Operator Overloading Operator Overloading(also called operator ad-hoc polymorphism) allows you to define or change the behavior of built-in operators (like +, -, *, etc.) for custom classes. •Operator Overloading allows you to use operators (such as +, -, *, etc.) to work with objects of your class, just like they work with primitive data types like integers and strings.
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Operator Overloading What isOperator Overloading? In Python, operator overloading allows you to redefine the meaning of standard operators (+, -, *, etc.) when they are used with objects of your own class. This means you can customize how an operator behaves when applied to your objects.
We use operatoroverloading when we want to make custom classes behave more like built-in types, especially when using operators such as +, -, *, ==, etc. When Do We Use Operator Overloading?
Real-Life Example -Payment System class Payment: def pay(self): pass class CreditCard(Payment): def pay(self): return 'Paid using Credit Card' class Paypal(Payment): def pay(self): return 'Paid using Paypal' def make_payment(payment_method): print(payment_method.pay()) make_payment(CreditCard()) make_payment(Paypal())
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Benefits of Polymorphism •Code Reusability: Same interface for multiple object types • Extensibility: Easy to add new classes • Maintenance: Easier to maintain and scale code • Cleaner Code: Reduces complex if-else structures