Python Tutorial
Introduction
Python Data Types & Oper...
Python Strings
Python Lists
Python Tuples
Python Sets
Python Dictionaries
Conditional Statements
Python Loops
Python Functions
Python Modules
Python OOPS
Advanced Topics
File Handling
Python Sets
A set in Python is a special type of collection that’s unordered, unchangeable, and doesn’t allow duplicates. It’s useful when you want to store multiple values but don’t care about their order or repetition.
Sets are written using curly braces {} and can hold values of different data types.
Example: Creating a Set
profile = {"Zara", 25, True, 5.6, 25}
print(profile)
Output:
{True, 25, 5.6, 'Zara'}
Here’s what’s happening:
Even though
25was added twice, it only appears once.The order is completely random — you might see the values in a different sequence every time you run the code.
Because sets don’t maintain order, you can’t access items using indexes like you would with lists or tuples.
Accessing Set Items
Since sets don’t have indexes, the only way to access their items is to loop through them.
profile = {"Zara", 25, True, 5.6}
for detail in profile:
print(detail)
Output:
True
Zara
25
5.6
Each time you run the code, the order of items printed may change — and that’s normal for sets.
Summary
Sets are unordered: no indexes, no guaranteed order.
They automatically remove duplicates.
You can only loop through a set to access its items.
Once created, you can’t modify individual items, but you can add or remove items entirely (we’ll see that in the next lesson).
Sets are perfect when you need a bag of unique values — like keeping track of unique names, IDs, or tags — and want fast membership checking.
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