Data Structures in Python:
In Python, data structures are fundamental constructs that allow you to organize, store, and manipulate data efficiently. They are like containers that hold data and provide methods for accessing and working with that data. Python offers several built-in data structures, each designed for specific use cases. The primary data structures in Python include:
1. Lists: Lists are ordered collections of elements that can be of any data type. They are defined using square brackets and are mutable, meaning you can modify their contents. Lists are versatile and commonly used for tasks like storing sequences of items.
2. Tuples: Tuples are similar to lists but are immutable, meaning their elements cannot be changed once defined. They are defined using parentheses and are often used to represent collections of items that should not be modified.
3. Dictionaries: Dictionaries are collections of key-value pairs. Each key is unique, and you can use keys to retrieve associated values. Dictionaries are defined using curly braces and are useful for representing mappings or relationships between data.
4. Sets: Sets are unordered collections....
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