Lists are used to store multiple items in a single variable.

Lists are one of 4 built-in data types in Python used to store collections of data, the other 3 are Tuple, Set, and Dictionary, all with different qualities and usage.
Lists are created using square brackets

Storing Sequence - Sequences are an object type in Python that allows the user to store data one after each other. Python List can stored different data types such as string, integer and many more.
Iterating over elements - Python provides several ways to iterate over list. The simplest and the most common way to iterate over a list is to use a for loop. This method allows us to access each element in the list directly.
implementing stacks and queues - Python can implement stacks and queues. A stack is a fundamental data structure in computer science that follows the Last In, First Out (LIFO) principle. In simpler terms, the last element added to the stack is the first one to be removed.A queue is another essential data structure that follows the First In, First Out (FIFO) principle. In a queue, the first element added is the first one to be removed. Queues are commonly used in scenarios where tasks or processes are executed in the order they are received.

Stack some example of Stack operations are push and pop operations:

Queue some example of Queue operations are Enqueue and Dequeue operations:
Handling dynamic datasets - Handling dynamic datasets in Python lists involves adding, modifying, removing, and efficiently managing list elements as the dataset grows or shrinks.

Include storing user input - Python List is flexible meaning it can use any data type that’s why list can solve the problem to Include storing user input in real world
Managing a collection of items in a shopping cart - Python list can also use to manage the collection of items in a shopping cart because of its flexibility you can stored it, delete or modify the data inside the list
Processing data in algorithms - Lastly, Python list is very simple type of data structure and you can use it to make the algorithms easy and understandable because of it’s simplicity as a Programming Language

Use Cases of List Data Structures in Python