What Is Data Structure in Python W3school?


Angela Bailey

In Python, a data structure is a way of organizing and storing data so that it can be accessed and manipulated efficiently. It is an essential concept in programming as it allows us to perform various operations on the data with ease. Python provides several built-in data structures, each designed to handle different types of data and perform specific tasks.


One of the most commonly used data structures in Python is a list. A list is an ordered collection of items enclosed in square brackets ([]).

It can store elements of different types such as integers, strings, or even other lists. Lists are mutable, which means you can modify them by adding, removing, or modifying elements.

To create a list in Python:

my_list = [1, 2, 3, 'apple', 'banana']

You can access individual elements in a list using their index:

print(my_list[0])  # Output: 1
print(my_list[3])  # Output: 'apple'


A tuple is similar to a list but is immutable, meaning you cannot modify its elements once defined. Tuples are created using parentheses (()) instead of square brackets ([]).

my_tuple = (1, 2, 'apple', 'banana')
print(my_tuple[2])  # Output: 'apple'


A dictionary is an unordered collection of key-value pairs enclosed in curly braces ({}). Each element in a dictionary consists of a key and its corresponding value. Dictionaries are useful when you want to quickly access values based on their keys.

my_dict = {'name': 'John', 'age': 25, 'city': 'New York'}
print(my_dict['name'])  # Output: 'John'


A set is an unordered collection of unique elements. It is created using curly braces ({}) or the built-in set() function. Sets are useful when you want to perform mathematical operations such as union, intersection, or difference on the elements.

my_set = {1, 2, 3, 4}
print(my_set)  # Output: {1, 2, 3, 4}


Data structures play a vital role in Python programming. They allow us to store and manipulate data efficiently. Understanding different data structures and their properties is essential for writing efficient and organized code.

In this article, we covered some of the fundamental data structures in Python, including lists, tuples, dictionaries, and sets. Each data structure has its own unique properties and use cases. By leveraging these data structures effectively, you can enhance your Python programming skills and tackle complex problems more efficiently.

Continue exploring different data structures and their functionalities to become a proficient Python developer!

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