Lists are one of Python's built-in data structures designed to store collections of items. They are incredibly flexible, allowing you to hold different data types, such as numbers, strings, or even other lists.
To create a list, you enclose your elements in square brackets, separated by commas. For instance: `fruits = ['apple', 'orange', 'banana']`.
In the case of splitting a string with `split()`, the resulting data is automatically placed into a new list without extra effort. This list can then be manipulated or iterated over for various operations.
- Lists provide various powerful functions such as appending new items, removing existing ones, or finding specific elements.
- Lists are mutable, meaning you can change their size and content even after creation.
Python manages indexing for lists, allowing you access items using their position with an index starting at 0. For example, `fruits[1]` gives 'orange'.
This behavior makes lists particularly useful for storing and accessing data efficiently in Python programs.