Hash Set in Python Last Updated : 23 Jul, 2025 Comments Improve Suggest changes 6 Likes Like Report Hash Set is a data structure that stores unique elements in an unordered manner and provides highly efficient operations for searching, inserting, and deleting elements. Python Set data type is a built-in implementation of a hash set. Python sets are implemented using hash tables, where each element is stored as a key in the table with an associated value of None. Hashing ensures that the set operations like add, remove, and lookup are highly efficient, in a constant time O(1).Important points:Hash Set does not allow duplicate values.Sets in Python are unordered, because the elements are stored based on their hash values, not by their order of insertion.Sets use hashing to provide fast lookups, insertions, and deletions.Hash Set are Mutable. You can add or remove elements after creating the set.Sets can only store hashable elements, like numbers, strings, and tuples (not lists or dictionaries).Creating a Hash Set in PythonYou can create a set using curly braces {} or the set() constructor. Python # Creating a hash set hs = {1, 2, 3, 4, 5} print("Hash Set:", hs) # Using set() function hs1 = set([1, 2, 3, 3, 4]) print("Another Hash Set:", hs1) Basic Operations on Python Hash SetAdding Elements: Use the add() method to insert an element into the set. Python hs = {1, 2, 3} hs.add(4) print("After Adding 4:", hs) Removing Elements:You can se these methods to remove items from a set. Use remove() to delete an element (raises an error if it doesn't exist).Use discard() to delete an element (does not raise an error if the element is missing).Use pop() to remove and return a random element. Python hs = {1, 2, 3, 4} hs.remove(2) hs.discard(5) # No error even though 5 is not in the set print("After Removing:", hs) removed_item = hs.pop() print("Popped Element:", removed_item) print("Remaining Set:", hs) Limitations of Hash SetsSets are unordered, so you cannot access elements by index.Sets only store immutable (hashable) elements like numbers, strings, and tuples. Lists and dictionaries cannot be stored in a set.Refer to this article for detailed explanation - Python Set. Create Quiz Comment A abhishek1 Follow 6 Improve A abhishek1 Follow 6 Improve Article Tags : Python Explore Python FundamentalsPython Introduction 2 min read Input and Output in Python 4 min read Python Variables 4 min read Python Operators 4 min read Python Keywords 2 min read Python Data Types 8 min read Conditional Statements in Python 3 min read Loops in Python - For, While and Nested Loops 5 min read Python Functions 5 min read Recursion in Python 4 min read Python Lambda Functions 5 min read Python Data StructuresPython String 5 min read Python Lists 4 min read Python Tuples 4 min read Python Dictionary 3 min read Python Sets 6 min read Python Arrays 7 min read List Comprehension in Python 4 min read Advanced PythonPython OOP Concepts 11 min read Python Exception Handling 5 min read File Handling in Python 4 min read Python Database Tutorial 4 min read Python MongoDB Tutorial 3 min read Python MySQL 9 min read Python Packages 10 min read Python Modules 3 min read Python DSA Libraries 15 min read List of Python GUI Library and Packages 3 min read Data Science with PythonNumPy Tutorial - Python Library 3 min read Pandas Tutorial 4 min read Matplotlib Tutorial 5 min read Python Seaborn Tutorial 3 min read StatsModel Library - Tutorial 3 min read Learning Model Building in Scikit-learn 6 min read TensorFlow Tutorial 2 min read PyTorch Tutorial 6 min read Web Development with PythonFlask Tutorial 8 min read Django Tutorial | Learn Django Framework 7 min read Django ORM - Inserting, Updating & Deleting Data 4 min read Templating With Jinja2 in Flask 6 min read Django Templates 5 min read Build a REST API using Flask - Python 3 min read Building a Simple API with Django REST Framework 3 min read Python PracticePython Quiz 1 min read Python Coding Practice 1 min read Python Interview Questions and Answers 15+ min read Like