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Sets in Python

Introduction
Setting Up Your Python Environment
Installing Python and PyCharm IDE Creating and Running Your First Python Program
Python Data Types
Numeric Types String Types Boolean Types None Type
Operators and Expressions
Arithmetic Operators Comparison Operators Logical Operators Bitwise Operators Assignment Operators Operator Precedence
Control Flow Statements
Conditional Statements Loops Break and Continue Statements Exception Handling
Functions and Modules
Defining and Calling Functions Function Arguments and Return Values Lambda Functions Modules and Packages
Python Data Structures
Lists Tuples Dictionaries Sets Arrays
ObjectOriented Programming in Python
Classes and Objects Attributes and Methods Inheritance and Polymorphism Abstract Classes and Interfaces
File Handling
Opening and Closing Files Reading and Writing Text Files Reading and Writing Binary Files CSV Files
Regular Expressions
Basic Regular Expressions and Metacharacters Anchors and Quantifiers Grouping and Capturing Lookarounds
Datetime and Timezones
Date and Time Objects Date and Time Formatting Timezone and Daylight Saving Time Handling
Debugging and Testing
Debugging Techniques Debugging Tools in PyCharm Unit Testing with PyTest
Web Scraping with Python
Requesting Data with urllib Parsing HTML with Beautiful Soup Extracting and Storing Data
Database Handling with Python
Connecting to Databases Performing CRUD Operations Database Access with ORM (ObjectRelational Mapping)
Introduction to Data Science with Python
NumPy Pandas Matplotlib ScikitLearn
GUI Programming with Python
Creating GUI Applications GUI Toolkits (Tkinter, PyQt, wxWidgets)
Network Programming with Python
Socket Programming Creating and Running a Simple Web Server Connecting to APIs
Best Practices and Tips
Python Coding Standards Code Organization Writing Efficient Code Tips and Tricks for Python Development
Conclusion and Next Steps.

Sets

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A set in Python is a collection of unique elements. This means that no element in a set can occur more than once. Sets are mutable, which means their contents can be changed by adding, deleting, or updating elements.

In Python, sets are defined using curly braces { }. Elements in a set are separated by commas.

Here's an example of defining a set:

 
                    
my_set = {1, 2, 3, 3, 4, 5}
print(my_set)

This will output: {1, 2, 3, 4, 5}

Notice how the duplicate element 3 was dropped from the set.

Sets also have a variety of built-in functions and methods.

Some of the most commonly used ones are:
  • len() to find the length of a set
  • add() to add an element to a set
  • remove() to remove an element from a set
  • union() to get the union of two sets
  • intersection() to get the intersection of two sets
  • difference() to get the difference between two sets

Here's an example of using some of these functions:

 
                    
s1 = {1, 2, 3}
s2 = {3, 4, 5}

print(len(s1)) # output: 3

s1.add(4)
print(s1) # output: {1, 2, 3, 4}

s2.remove(4)
print(s2) # output: {3, 5}

s3 = s1.union(s2)
print(s3) # output: {1, 2, 3, 4, 5}

s4 = s1.intersection(s2)
print(s4) # output: {3}

s5 = s1.difference(s2)
print(s5) # output: {1, 2, 4}

Sets are useful for a variety of tasks in Python, such as removing duplicates from a list, checking for membership of an element, and performing set operations like union and intersection.

March 25, 2023

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