Exploring Polymorphism with Collections in Python

Leveraging Flexibility Across Lists, Tuples, Sets, and Dictionaries

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Polymorphism, a cornerstone of object-oriented programming, empowers developers to write versatile and adaptable code. In Python, this concept extends beyond classes and objects to include collections such as lists, tuples, sets, and dictionaries.

In this article, we’ll delve into how polymorphism manifests within these data structures, providing practical examples to illustrate their flexibility and utility.

Understanding Polymorphism with Collections

Polymorphism, in the context of collections, refers to the ability of different data structures to exhibit similar behaviors while maintaining their distinct characteristics. This allows developers to write code that operates seamlessly across multiple types of collections, enhancing code reuse and readability.

Polymorphic Iteration with Lists and Tuples

One of the most common ways polymorphism manifests in Python is through iteration. Both lists and tuples support iteration using the for loop, allowing developers to iterate over their elements in a uniform manner.

# Polymorphic iteration with…