Rewrite for a beginner of python. In Python, lists and dictionaries are both data structures used to store collections of data, but they differ significantly in structure, functionality, and use cases. Key Differences Feature List Dictionary Structure Ordered collection of elements. Unordered collection of key-value pairs. Access Access elements by index (e.g., list[0]). Access values by keys (e.g., dict['key']). Mutability Mutable (can add, remove, or modify items). Mutable (can add, remove, or modify pairs). Duplicates Allows duplicate elements. Keys must be unique; values can be duplicates. Use Case Best for ordered data or sequential access. Best for mapping relationships or lookups. When to Use a List Sequential Data: When you need to store items in a specific order (e.g., a list of names, numbers, or tasks). Iteration: When you plan to iterate through items in sequence. Duplicates Allowed: When duplicate values are acceptable. Index-Based Access: When you need to access elements by their position. When to Use a Dictionary Key-Value Mapping: When you need to associate keys with values (e.g., storing user data like {'name': 'Alice', 'age': 25}). Fast Lookups: When you need quick access to data using unique keys. Unordered Data: When the order of elements doesn't matter. No Duplicate Keys: When you need to ensure unique identifiers for data