Skip to main content

Sets in Python

 



Learning Sections          show

Sets in Python

Sets are an unordered collection of unique elements in Python. They are defined using curly braces {} or the set() function.

Creating a Set

You can create a set by placing a comma-separated list of elements within curly braces or by using the set() function.

# Creating sets
set1 = {1, 2, 3}
set2 = set([4, 5, 6])

Set Operations

Sets support various operations like union, intersection, difference, and symmetric difference.

# Set operations
set_a = {1, 2, 3, 4}
set_b = {3, 4, 5, 6}

# Union
set_union = set_a | set_b  # Output: {1, 2, 3, 4, 5, 6}

# Intersection
set_intersection = set_a & set_b  # Output: {3, 4}

# Difference
set_difference = set_a - set_b  # Output: {1, 2}

# Symmetric Difference
set_sym_difference = set_a ^ set_b  # Output: {1, 2, 5, 6}

Adding and Removing Elements

You can add elements to a set using the add() method and remove elements using the remove() or discard() methods.

# Adding and removing elements
my_set = {1, 2, 3}

# Add an element
my_set.add(4)  # Output: {1, 2, 3, 4}

# Remove an element
my_set.remove(3)  # Output: {1, 2, 4}

# Discard an element
my_set.discard(2)  # Output: {1, 4}
Labels:

Popular posts from this blog

MultiProcessing in Python

  Learning Sections          show MultiProcessing in Python Multiprocessing in Python involves using the multiprocessing module to run multiple processes concurrently, taking advantage of multiple CPU cores. This module provides a higher level of concurrency than threading and is especially useful for CPU-bound tasks. Creating Processes You can create and start a new process by using the multiprocessing module: import multiprocessing def print_numbers (): for i in range ( 10 ): print ( i ) p1 = multiprocessing.Process ( target = print_numbers ) p1 . start () p1 . join () # Wait for the process to complete Using Process Pools The multiprocessing module provides a Pool class, which allows you to manage a pool of worker processes: from multiprocessing import Pool def square ( n ): return n * n with Pool ( 4 ) as pool : result = pool.map ( square , range (...
Read more

Learn Python

  Learning Sections Introduction to Python Comment, escape sequence and print statement in Python Variables and Data Types in Python Typecasting in Python User input in Python String slicing and operations on string in Python String methods in Python If else conditional statements in Python Match case statement in Python For loops in Python While loops in Python Break and continue statement in Python Functions in Python Function Arguments in Python introduction to lists in Python List methods in Python Tuples in Python Operations on tuple in Python f strings in Python Docstrings in Python Recursion in Python Sets in Python Set methods in Python Dictionaries in Python for Loop with else in Python Exception Handling in Python Finally keyword in Python Raising custom errors in Python Short hand if else statements Enumerate Function in Python Virtual Environment in Python How import works in Python if __nam...
Read more

Instance variables vs Class variables in Python

  Learning Sections          show Instance variables vs Class variables in Python In Python, instance variables are variables that are bound to instances of a class, while class variables are variables that are bound to the class itself. Each instance of the class has its own copy of instance variables, while class variables are shared among all instances of the class. Instance variables are defined within methods of a class using the self keyword, while class variables are defined directly within the class body. Example: class Car : # Class variable wheels = 4 # Instance method to initialize instance variables def __init__ ( self , color ): # Instance variable self . color = color # Create instances of the Car class car1 = Car ( 'red' ) car2 = Car ( 'blue' ) # Access instance variables print ( car1 . color ) # Output: 'red' print ( car2 . color ) # Output: 'blue' # Acc...
Read more