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.

Nov 30, 2021 · Tuple can be created using the tuple () function. A set dictionary can be created using the set () function. A dictionary can be created using the dict () function. An empty list can be created by l = []. An empty tuple can be created by t = (). An empty set can be created by s = set (). An empty dictionary can be created by {}.

Jan 2, 2025 · In this tutorial, I have explained the differences between lists, tuples, sets, and dictionaries in Python. Lists are versatile and widely used, tuples are immutable and memory-efficient, sets are ideal for dealing with unique elements and set operations and dictionaries provide fast key-value lookups.

Feb 17, 2025 · In Python, Lists, Sets and Tuples store collections but differ in behavior. Lists are ordered, mutable and allow duplicates, suitable for dynamic data. Sets are unordered, mutable and unique, while Tuples are ordered, immutable and …

Jul 1, 2019 · Dictionary: A python dictionary is used like a hash table with key as index and object as value. List: A list is used for holding objects in an array indexed by position of that object in the array.

Mar 21, 2021 · List, Tuple, Set, Dictionary are some of the most commonly used data types in python. All those data types have specific advantages depending on the type of operation that needs to be...

Apr 2, 2023 · To create a Tuple in Python, we enclose the elements in parentheses instead of square brackets, separated by commas. For example, a Tuple of coordinates could be created like this: To access elements in a Tuple, we use the same indexing as we do with Lists.

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.

Master Python data structures with clear examples. Learn Lists, Tuples, Sets, Dictionaries, and Strings to organize and manage data effectively.

Mar 28, 2025 · In Python, different data structures let us access and manage data. Using the right data structure can make programs run faster and use less memory. 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.