
Sets in Python – Real Python
May 5, 2025 · In this tutorial, you’ll dive deep into the features of Python sets and explore topics like set creation and initialization, common set operations, set manipulation, and more.
Python Sets - W3Schools
Set is one of 4 built-in data types in Python used to store collections of data, the other 3 are List, Tuple, and Dictionary, all with different qualities and usage.
Python Sets - GeeksforGeeks
Sep 20, 2025 · Python Sets can be created by using the built-in set () function with an iterable object or a sequence by placing the sequence inside curly braces, separated by a 'comma'.
Python Set (With Examples) - Programiz
In this tutorial, we will learn Set and its various operations in Python with the help of examples.
Python Sets and Set Operations: Uniques, Intersections, and More
Python sets are powerful data structures that provide efficient ways to handle collections of unique items and perform mathematical set operations. Their ability to eliminate duplicates and quickly check for …
Python Sets – Operations and Examples - freeCodeCamp.org
Oct 28, 2021 · If you're a beginner to Python, chances are you've come across lists. But have you heard about sets in Python? In this tutorial, we'll explore what sets are, how to create them, and the …
Sets - OpenPython
In Python, a set is a collection that holds only unique values — no duplicates allowed. Unlike lists or tuples, sets are unordered, which means the items don’t follow any specific sequence.
Python Set: The Why And How With Example Code
Sep 16, 2025 · Python sets can be used to deduplicate lists, but they can do much more. Learn all about sets with this clear tutorial full of example code.
A Basic Guide to the Python Set By Practical Examples
In this tutorial, you'll learn about Python Set type and how to manage set elements effectively including adding, removing, and clearing.
Python Set | Docs With Examples - Hackr
Feb 11, 2025 · Python sets with examples. Store unique elements, perform set operations like union and intersection, remove duplicates, and use fast membership testing for efficient data handling in Python.