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Data structures are essential for organizing and managing data efficiently. Python provides several built-in data structures, each with unique characteristics and use cases. Let's explore some of the most common data structures in Python.
Lists
Lists are ordered collections of items that can be of different types. They are mutable, meaning you can modify them after creation. Lists are similar to arrays in other languages.
# Creating a listmy_list = [1, 2, 3, "four"]print(my_list) # Output: [1, 2, 3, 'four']# Accessing elementsprint(my_list[0]) # Output: 1print(my_list[-1]) # Output: 'four'# Modifying elementsmy_list[1] = "two"print(my_list) # Output: [1, 'two', 3, 'four']Copied!✕CopyTuples
Tuples are similar to lists but are immutable, meaning they cannot be changed after creation. They are useful for storing fixed collections of items.
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