What Are the Data Structure in Python?


Angela Bailey

What Are the Data Structures in Python?

Data structures are an essential part of programming languages, including Python. They allow you to organize and store data in a way that is efficient and easy to manipulate. Python provides several built-in data structures that you can use to solve various programming problems.

1. Lists

A list is a versatile data structure in Python that allows you to store multiple items in a single variable. You can add, remove, and access elements from a list using their respective indexes. Lists are denoted by square brackets [] and can contain elements of different types.

Here’s an example:

fruits = ['apple', 'banana', 'orange']
print(fruits[0])  # Output: apple
print(fruits)  # Output: ['apple', 'banana', 'orange', 'grape']

2. Tuples

A tuple is similar to a list but has one key difference: it is immutable, meaning its elements cannot be modified once defined. Tuples are useful when you want to store related data together but don’t want it to be changed accidentally.

Tuples are denoted by parentheses () or without any delimiters.

person = ('John', 25, 'USA')
print(person[0])  # Output: John

3. Sets

A set is an unordered collection of unique elements. It is useful when you want to eliminate duplicate values or perform operations like union, intersection, and difference between sets.

Sets are denoted by curly braces {} or using the set() constructor.

fruits = {'apple', 'banana', 'orange'}
print(fruits)  # Output: {'apple', 'banana', 'orange'}

4. Dictionaries

A dictionary is a collection of key-value pairs, where each key is unique and associated with a value. Dictionaries are useful when you want to retrieve values based on their keys rather than their positions.

Dictionaries are denoted by curly braces {} and colons : to separate keys and values.

student = {'name': 'John', 'age': 25, 'country': 'USA'}
print(student['name'])  # Output: John


In Python, data structures like lists, tuples, sets, and dictionaries provide powerful ways to organize and manipulate data. Understanding these data structures is crucial for writing efficient and effective Python programs. By using the appropriate data structure for your specific needs, you can improve the performance and readability of your code.

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