Python Training , study and exam guide
1 Introduction to Python
1.1 What is Python?
1.2 History of Python
1.3 Features of Python
1.4 Python Applications
1.5 Setting up the Python Environment
1.6 Running Your First Python Program
2 Python Basics
2.1 Python Syntax and Indentation
2.2 Variables and Data Types
2.2 1 Numbers
2.2 2 Strings
2.2 3 Lists
2.2 4 Tuples
2.2 5 Sets
2.2 6 Dictionaries
2.3 Operators
2.3 1 Arithmetic Operators
2.3 2 Comparison Operators
2.3 3 Logical Operators
2.3 4 Assignment Operators
2.3 5 Membership Operators
2.3 6 Identity Operators
2.4 Input and Output
2.4 1 Input Function
2.4 2 Output Function
2.5 Comments
2.5 1 Single-line Comments
2.5 2 Multi-line Comments
3 Control Flow
3.1 Conditional Statements
3.1 1 If Statement
3.1 2 If-Else Statement
3.1 3 Elif Statement
3.1 4 Nested If Statements
3.2 Loops
3.2 1 For Loop
3.2 2 While Loop
3.2 3 Nested Loops
3.3 Loop Control Statements
3.3 1 Break Statement
3.3 2 Continue Statement
3.3 3 Pass Statement
4 Functions
4.1 Defining Functions
4.2 Function Arguments
4.2 1 Positional Arguments
4.2 2 Keyword Arguments
4.2 3 Default Arguments
4.2 4 Variable-length Arguments
4.3 Return Statement
4.4 Lambda Functions
4.5 Scope of Variables
4.5 1 Local Variables
4.5 2 Global Variables
4.6 Recursion
5 Data Structures
5.1 Lists
5.1 1 List Operations
5.1 2 List Methods
5.1 3 List Comprehensions
5.2 Tuples
5.2 1 Tuple Operations
5.2 2 Tuple Methods
5.3 Sets
5.3 1 Set Operations
5.3 2 Set Methods
5.4 Dictionaries
5.4 1 Dictionary Operations
5.4 2 Dictionary Methods
5.5 Advanced Data Structures
5.5 1 Stacks
5.5 2 Queues
5.5 3 Linked Lists
6 Modules and Packages
6.1 Importing Modules
6.2 Creating Modules
6.3 Standard Library Modules
6.3 1 Math Module
6.3 2 Random Module
6.3 3 DateTime Module
6.4 Creating Packages
6.5 Installing External Packages
7 File Handling
7.1 Opening and Closing Files
7.2 Reading from Files
7.2 1 read()
7.2 2 readline()
7.2 3 readlines()
7.3 Writing to Files
7.3 1 write()
7.3 2 writelines()
7.4 File Modes
7.5 Working with CSV Files
7.6 Working with JSON Files
8 Exception Handling
8.1 Try and Except Blocks
8.2 Handling Multiple Exceptions
8.3 Finally Block
8.4 Raising Exceptions
8.5 Custom Exceptions
9 Object-Oriented Programming (OOP)
9.1 Classes and Objects
9.2 Attributes and Methods
9.3 Constructors and Destructors
9.4 Inheritance
9.4 1 Single Inheritance
9.4 2 Multiple Inheritance
9.4 3 Multilevel Inheritance
9.5 Polymorphism
9.6 Encapsulation
9.7 Abstraction
10 Working with Libraries
10.1 NumPy
10.1 1 Introduction to NumPy
10.1 2 Creating NumPy Arrays
10.1 3 Array Operations
10.2 Pandas
10.2 1 Introduction to Pandas
10.2 2 DataFrames and Series
10.2 3 Data Manipulation
10.3 Matplotlib
10.3 1 Introduction to Matplotlib
10.3 2 Plotting Graphs
10.3 3 Customizing Plots
10.4 Scikit-learn
10.4 1 Introduction to Scikit-learn
10.4 2 Machine Learning Basics
10.4 3 Model Training and Evaluation
11 Web Development with Python
11.1 Introduction to Web Development
11.2 Flask Framework
11.2 1 Setting Up Flask
11.2 2 Routing
11.2 3 Templates
11.2 4 Forms and Validation
11.3 Django Framework
11.3 1 Setting Up Django
11.3 2 Models and Databases
11.3 3 Views and Templates
11.3 4 Forms and Authentication
12 Final Exam Preparation
12.1 Review of Key Concepts
12.2 Practice Questions
12.3 Mock Exams
12.4 Exam Tips and Strategies
5 3 2 Set Methods Explained

5 3 2 Set Methods Explained

Key Concepts

Set methods in Python allow you to manipulate sets, which are unordered collections of unique items. The key concepts include:

1. Adding Elements

These methods allow you to add elements to a set.

add()

Adds a single element to the set.

my_set = {1, 2, 3}
my_set.add(4)
print(my_set)  # Output: {1, 2, 3, 4}
    

update()

Adds multiple elements to the set. It can take another set, list, tuple, or any iterable.

my_set = {1, 2, 3}
my_set.update([4, 5, 6])
print(my_set)  # Output: {1, 2, 3, 4, 5, 6}
    

2. Removing Elements

These methods allow you to remove elements from a set.

remove()

Removes a specified element from the set. Raises an error if the element is not found.

my_set = {1, 2, 3}
my_set.remove(2)
print(my_set)  # Output: {1, 3}
    

discard()

Removes a specified element from the set. Does not raise an error if the element is not found.

my_set = {1, 2, 3}
my_set.discard(2)
print(my_set)  # Output: {1, 3}
    

pop()

Removes and returns an arbitrary element from the set.

my_set = {1, 2, 3}
removed_element = my_set.pop()
print(removed_element)  # Output: 1 (or any other element)
print(my_set)  # Output: {2, 3} (or any other two elements)
    

clear()

Removes all elements from the set, making it empty.

my_set = {1, 2, 3}
my_set.clear()
print(my_set)  # Output: set()
    

3. Set Operations

These methods allow you to perform set operations such as union, intersection, difference, and symmetric difference.

union()

Returns a new set with all elements from both sets.

set1 = {1, 2, 3}
set2 = {3, 4, 5}
union_set = set1.union(set2)
print(union_set)  # Output: {1, 2, 3, 4, 5}
    

intersection()

Returns a new set with elements common to both sets.

set1 = {1, 2, 3}
set2 = {3, 4, 5}
intersection_set = set1.intersection(set2)
print(intersection_set)  # Output: {3}
    

difference()

Returns a new set with elements in the first set but not in the second set.

set1 = {1, 2, 3}
set2 = {3, 4, 5}
difference_set = set1.difference(set2)
print(difference_set)  # Output: {1, 2}
    

symmetric_difference()

Returns a new set with elements in either of the sets but not in both.

set1 = {1, 2, 3}
set2 = {3, 4, 5}
symmetric_difference_set = set1.symmetric_difference(set2)
print(symmetric_difference_set)  # Output: {1, 2, 4, 5}
    

Putting It All Together

By understanding and using these set methods effectively, you can manipulate sets in various ways to suit your needs. These methods are essential tools for any Python programmer.

my_set = {1, 2, 3}
my_set.add(4)
my_set.update([5, 6])
my_set.remove(2)
my_set.discard(7)
removed_element = my_set.pop()
my_set.clear()
print(my_set)  # Output: set()

set1 = {1, 2, 3}
set2 = {3, 4, 5}
union_set = set1.union(set2)
intersection_set = set1.intersection(set2)
difference_set = set1.difference(set2)
symmetric_difference_set = set1.symmetric_difference(set2)
print(union_set)  # Output: {1, 2, 3, 4, 5}
print(intersection_set)  # Output: {3}
print(difference_set)  # Output: {1, 2}
print(symmetric_difference_set)  # Output: {1, 2, 4, 5}