What Is Python Data Structure?


Larry Thompson

What Is Python Data Structure?

In Python, a data structure is a way to store and organize data in memory. It provides a systematic way to access and manipulate data efficiently. Python offers several built-in data structures that are widely used in various programming tasks.


Lists are one of the most commonly used data structures in Python. They are ordered, mutable, and can contain elements of different types.

Lists are declared using square brackets []. Here’s an example:

fruits = ['apple', 'banana', 'orange']

You can access individual elements of a list using their indices. For example, fruits[0] will return ‘apple’.


Tuples are similar to lists but are immutable, meaning they cannot be changed once created. Tuples are declared using parentheses (). Here’s an example:

point = (3, 4)

You can access individual elements of a tuple using their indices just like lists.


Dictionaries are unordered collections of key-value pairs. They provide a way to store and retrieve data based on unique keys.

Dictionaries are declared using curly braces {}. Here’s an example:

student = {'name': 'John', 'age': 20, 'major': 'Computer Science'}

You can access values from a dictionary by specifying the corresponding key. For example, student['name'] will return ‘John’.


Sets are unordered collections of unique elements. They are useful when you want to eliminate duplicates from a sequence of values.

Sets are declared using curly braces {}. Here’s an example:

colors = {'red', 'green', 'blue'}

You can perform various set operations like union, intersection, and difference using built-in methods.


In this tutorial, we explored some of the basic data structures in Python. Lists, tuples, dictionaries, and sets provide different ways to store and manipulate data. Understanding these data structures is essential for efficient programming in Python.

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