Apr 12, 2025 · Python provides us with several in-built data structures such as lists, tuples, sets, and dictionaries that store and organize the data efficiently. In this article, we will learn the difference between them and their applications in Python. The following table shows the difference between various Python built-in data structures.

Python has several other important data types that you’ll probably use every day. They are called lists, tuples and dictionaries. This chapter’s aim is to get you acquainted with each of these data types. They are not particularly complicated, so I expect that you will find learning how to use them very straight forward.

Sep 6, 2010 · In Python, when to use a Dictionary, List or Set? A list can store a sequence of objects in a certain order such that you can index into the list, or iterate over the list. List is a mutable type meaning that lists can be modified after they have been created. A tuple is similar to a list except it is immutable.

Jan 2, 2025 · Python provides several built-in data structures to store collections of data, including lists, tuples, sets, and dictionaries. In this tutorial, we’ll explore the differences between these four fundamental data structures and provide examples of when to use each one.

Nov 30, 2021 · Let’s take a closer look at what each of these collections are : List: Mutable (modifiable). Tuple: Immutable (non-modifiable). Set: Mutable, but elements inside must be immutable. Dictionary: Mutable; keys are immutable, but values can change. List: Maintains order of elements. Tuple: Maintains order of elements. Set: No guaranteed order.

Specifically, for a dictionary, searching for a value based on key is O(1) on average, while it is O(n) for a list.

Mar 5, 2024 · At the heart of Python’s simplicity lies its core data structures: lists, tuples, sets, and dictionaries. Each serves a unique purpose, and understanding their differences is crucial for any aspiring Pythonista.

Learn Python data structures like Lists, Tuples, Sets, Dictionaries, and Strings. Organize, store, and manipulate data efficiently with practical examples. ... A dictionary is a mutable, unordered collection of key-value pairs used to store data with unique keys for efficient lookup. Dictionaries are highly flexible and optimized for retrieving ...

When working with Python, you’ll often find yourself choosing between lists, tuples, sets, and dictionaries for handling collections of data. While they might seem similar at first glance, each has unique properties and use cases that make it the right choice for specific tasks.

Mar 28, 2025 · This article explains some of the most efficient data structures in Python with simple examples. List. A list is a dynamic array that stores items in order. It can have repeated values and different data types. Lists are mutable, so you can change, add, or remove elements. Use square brackets [] or the list() constructor to create a list ...