What Is a Data Structure in Python Example?


Angela Bailey

What Is a Data Structure in Python Example?

Data structures are an essential part of programming. They allow us to store and organize data in a way that is efficient and easy to manipulate.

In Python, there are several built-in data structures that we can use, such as lists, tuples, dictionaries, and sets. Let’s take a closer look at each of these data structures with examples.


A list is a collection of items that are ordered and changeable. We can store different types of data in a list, including numbers, strings, or even other lists.

Lists are denoted by square brackets and the elements are separated by commas.


my_list = [1, 2, 3, "apple", "banana", ["cat", "dog"]]

This will output:

[1, 2, 3, "apple", "banana", ["cat", "dog"]]


A tuple is similar to a list but is immutable, meaning its elements cannot be changed after creation. Tuples are denoted by parentheses or without any delimiter if possible.

Tuples can contain elements of different types and can be accessed using indexing.

my_tuple = (1, 2, "apple", True)

(1, 2, "apple", True)


A dictionary is an unordered collection of key-value pairs. Each key in a dictionary is unique and associated with a value.

Dictionaries are denoted by curly braces and the key-value pairs are separated by colons.

my_dict = {"name": "John", "age": 25, "country": "USA"}

{"name": "John", "age": 25, "country": "USA"}


A set is an unordered collection of unique elements. Sets can be used to perform mathematical set operations such as union, intersection, and difference.

Sets are denoted by curly braces or using the set() function.

my_set = {1, 2, 3, 4}

{1, 2, 3, 4}

In Conclusion

Understanding data structures is crucial for efficient programming in Python. Lists, tuples, dictionaries, and sets are versatile data structures that can be used to store and manipulate data in different ways.

By mastering these data structures and their operations, you can enhance your Python programming skills and build more powerful applications.

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