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Executive Page Summary

Introduction

Python data structures are a way to organize and store data in a computer program. There are several types of data structures in Python, including lists, tuples, sets, and dictionaries. Each type of data structure has its own unique properties and is used for different purposes.

Explain it Like I’m 5

Python data structures are like different types of toy boxes that help you keep your toys organized. Just like you have different types of toys that need to be stored in different ways, computer programs have different types of data that need to be stored in different types of data structures. Some toys are small and can be stored in a small box, while others are big and need a bigger box. Similarly, some types of data are simple and can be stored in a simple data structure like a list, while others are more complex and need a more complex data structure like a dictionary.

Lists

Lists are one of the most common types of data structures in Python. They are used to store a collection of items, which can be of any type. Lists are created using square brackets, and items are separated by commas. For example:

my_list = [1, 2, 3, "hello", "world"]

Tuples

Tuples are similar to lists, but they are immutable, which means that once they are created, their contents cannot be changed. Tuples are created using parentheses, and items are separated by commas. For example:

my_tuple = (1, 2, 3, "hello", "world")

Sets

Sets are used to store a collection of unique items. Sets are created using curly braces, and items are separated by commas. For example: