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Sets in Python with examples

  • December 20, 2022
  • CODE OF GEEKS
  • 0
Python Sets
Python Sets – In this Tutorial


Sets in Python are unordered, immutable, unindexed collection of elements enclosed under { } (curly braces).

Since, Python Sets are unordered so you can not predict in which order elements will appear also elements in Sets are unindexed hence, you can not access the set elements via index.

Python Sets are generally used to store different values of different types.

Python has a specific keyword for defining sets -> set().

s = {} # empty set
s = {1, 'hello', 'word', (3, 5)} # set with values

Please note that, we can not add list (or a dictionary, even a set) as an element of the set. This is due to the fact that set is an unordered collection of distinct hashable objects.

Sets in Python does not allow duplicate values.

s = {'hello', True, 'word', 'hello'} # set with duplicate values
print(s)

O/P

{True, ‘hello’, ‘word’}

Once a set is created, we cannot modify its elements, but can add new items.



Please note that, Python Sets does not support slicing operation.

How Python Sets are stored in memory

Internal working of Python Sets is based on the concept of Hash Table. Python Set uses dictionary like implementation as the index-value pair.

This is the reason why Python Sets are great in terms of performance. Like, the complexity of Sets for basic operations like, fetching an element, adding an element, removing an element is always O(1) which is not the case in Python Lists.

Length of a Python Set

To find the length of a Python Set, we can use len() function.

s = {'hello', True, 'word'} # set 
print(len(s))

O/P

3

Accessing elements of a Python Set

In Python Sets, we can not access elements by its index like we generally do in Python lists, string or tuple. Rather, we have the option to loop over the set elements using in statement. Like,

s = {'hey', 'we', 'are', 'humans', 'born', 'in', 2022}
for element in s:
    print(element, end= ' ')

O/P

we in 2022 are hey humans born

Observe, order of set elements is not being maintained internally.



Add Elements in Python Sets



The add() method in Python Sets can be used to add an element in the given set.

Syntax

set.add(element)

Let’s try to add new element (string type) to the given set,

s = {'one', 2, 3, 'two', 'four'}
print('Before addition : ', s)
s.add('val') # adding val to given set s
print('After addition : ', s)

O/P

Before addition : {2, 3, ‘two’, ‘four’, ‘one’}
After addition : {2, 3, ‘two’, ‘four’, ‘val’, ‘one’}



Add Multiple Elements to a Set in Python

The update() method in Python Sets can be used to add multiple values to a given Python Set.

Syntax

set.update(object)

The object inside the update() method can be any iterable object (sets, tuples, lists, dictionaries etc).

Hence, with update() method, we can :

1. Add a set to a given set
2. Add a list to a given set
3. Add a tuple to a given set
4. Add a dictionary to a given set

s = {1, 2, 3, 4}
to_add = {'one', 'two', 'three', 'four'}
print('Before addition : ', s)
s.update(to_add) # adding set to_add in s
print('After addition : ', s)

O/P

Before addition : {1, 2, 3, 4}
After addition : {‘three’, 1, 2, 3, 4, ‘one’, ‘four’, ‘two’}



Please note that, adding an element in Set is an optimized process, with time complexity a O(1).

Other Operations in Python Sets

Remove Elements in Python Sets

Union in Python Sets

Intersection in Python Sets

Please go through the complete tutorials on Python Sets.

  • Previous Adding elements in Python Sets with example
  • Next super statement in Python with examples

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Table of Content – Python

  1. Introduction to Python ▼
    • Python and its features
    • Key Differences : C vs Python
    • Key Differences : Java vs Python
    • Python Flavors
    • PVM and Memory Management in Python

  2. Python Fundamentals ▼
    • 'Hello World' using Python
    • Comments in Python
    • Variables and Garbage Collection in Python
    • Datatypes in Python
    • Determining the Datatype of Literal | type() method
    • Tokens in Python
    • Keywords in Python
    • Identifiers and Naming Convention in Python
    • Literals in Python

  3. Python Operators ▼
    • Operators in Python
    • Python Mathematical Functions

  4. Python User Inputs ▼
    • Taking Inputs | input() function in Python

  5. Python Control Statements ▼
    • Control Statements in Python
    • if-elif-else Statements in Python
    • Looping in Python
    • while loop in Python
    • while-else loop in Python
    • for loop in Python
    • for-else loop in Python
    • Infinite loops in Python
    • Nested loops in Python
    • break Statement in Python
    • continue Statement in Python
    • pass Statement in Python
    • assert Statement in Python
    • return Statement in Python

  6. Python Functions ▼
    • Introduction to Python Functions
    • Python Functions vs Python Methods
    • Local and Global Variables in Python
    • Formal and Actual Arguments in Python
    • Recursion in Python Functions
    • Lambda Functions in Python
    • Function Decorators in Python
    • Function Generators in Python

  7. Python Strings ▼
    • Strings in Python and Basic Operations
    • String Immutability Explained
    • strip() method in Strings
    • find() method in Strings
    • count() method in Strings
    • replace() method in Strings
    • split() method in Strings
    • Switching Cases in Strings
    • startswith() method in Strings
    • endswith() method in Strings

  8. Python Lists ▼
    • Python Lists Basics
    • index() method in list
    • append() method in list
    • insert() method in list
    • copy() method in list
    • remove() method in list
    • pop() method in list
    • sort() method in list
    • reverse() method in list
    • clear() method in list
    • Nested Lists in Python
    • List Comprehensions in Python

  9. Python Sets ▼
    • Python Sets and Basic Operations
    • Adding Elements in Python Sets
    • Removing Elements in Python Sets
    • Union in Python Sets
    • Intersection in Python Sets

  10. Python Tuples ▼
    • Python Tuple Basics
    • Python Tuples Immutability Explained
    • Python Tuples Methods
    • Python Nested Tuples

  11. Python Dictionary ▼
    • Python Dictionary Basics
    • Python Dictionary Sorting
    • Python Dictionary List to Dictionary Conversion
    • Passing Dictionary to Function

  12. Python Classes and Objects ▼
    • Classes and Objects
    • self variable in Python
    • __init__() method in Python
    • Inner Classes
    • Instance variable and methods
    • Class variable and methods

  13. Python OOPs ▼
    • Inheritance and its types
    • super() method in Python
    • Abstract class| Abstract method in Python

  14. Python Exception Handling ▼
    • Errors in Python and its types
    • Exception Handling in Python
    • Types of Exceptions in Python
    • Custom Exceptions in Python

  15. Python File Handling ▼
    • File Handling in Python
    • with statement in Python

  16. Python DateTime Modules ▼
    • datetime module in Python

  17. Python MultiThreading ▼
    • Multithreading in Python

  18. Python Requests Module ▼
    • Python GET Request
    • Python POST Request
    • Python PUT Request

Python Programs

  1. Fibonacci Series till 'N' Numbers

  2. Sum of Digits of a Number

  3. Checking Prime Number

  4. Checking Armstrong Number

  5. Finding Reverse Number (Traditional)

  6. Finding Reverse Number (Pythonic)

  7. Finding Prime Numbers within Range

  8. Finding Prime Numbers within Range Using SOE

  9. Checking Leap year

  10. Calculating Simple Interest

  11. Generate Random Numbers

  12. Calculate Compound Interest

  13. Area of Circle

  14. ASCII Value of Character
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