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Polymorphism and dynamic type checking are fundamental concepts in Python that empower developers to write flexible and adaptable code.
In this article, we’ll delve into how polymorphism and dynamic type checking work in Python, providing practical examples to illustrate their importance and versatility.
Understanding Polymorphism in Python
Polymorphism allows objects to exhibit different behaviors based on their specific types or contexts. In Python, polymorphism is achieved through dynamic typing, which means that the type of an object is determined at runtime.
Dynamic Type Checking in Python
Dynamic type checking, a key feature of Python’s dynamic typing system, allows variables to be assigned to objects of any type. This flexibility enables developers to write code that can handle a wide range of data types and objects without explicit type declarations.
Code Examples: Polymorphism and Dynamic Type Checking
# Example 1: Polymorphic Function Call
def…
