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Python offers a variety of built-in data structures that are essential for organizing and managing data efficiently. These data structures include lists, tuples, dictionaries, sets, and more advanced structures like stacks, queues, and graphs.
Lists
Lists are ordered collections of items that can be of different types. They are mutable, meaning you can modify their contents. Lists support various operations such as appending, inserting, removing, and sorting elements.
# Creating a listmy_list = [1, 2, 3, "four"]print(my_list)# List operationsmy_list.append(5)my_list.insert(1, "two")my_list.remove(3)print(my_list)Copied!✕CopyAttributes: Lists are flexible and can hold elements of different types. They provide O(1) time complexity for indexing and are suitable for dynamic arrays.
Tuples
Tuples are similar to lists but are immutable, meaning their contents cannot be changed after creation. They are often used for fixed collections of items.
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