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
2 3 2 Comparison Operators Explained

2 3 2 Comparison Operators Explained

Key Concepts

Comparison operators in Python are used to compare two values. The 2 3 2 pattern refers to the use of two types of equality operators and three types of relational operators, which are essential for making decisions in programming.

1. Equality Operators

Equality operators check if two values are equal or not equal. There are two types of equality operators:

1.1 Equal to (==)

The == operator checks if two values are equal. It returns True if the values are equal and False otherwise.

x = 5
y = 5
result = x == y
print(result)  # Output: True
    

1.2 Not equal to (!=)

The != operator checks if two values are not equal. It returns True if the values are not equal and False if they are equal.

a = 10
b = 20
result = a != b
print(result)  # Output: True
    

2. Relational Operators

Relational operators compare two values based on their magnitude. There are three types of relational operators:

2.1 Greater than (>)

The > operator checks if the left value is greater than the right value. It returns True if the condition is met and False otherwise.

x = 15
y = 10
result = x > y
print(result)  # Output: True
    

2.2 Less than (<)

The < operator checks if the left value is less than the right value. It returns True if the condition is met and False otherwise.

a = 7
b = 14
result = a < b
print(result)  # Output: True
    

2.3 Greater than or equal to (>=)

The >= operator checks if the left value is greater than or equal to the right value. It returns True if the condition is met and False otherwise.

x = 20
y = 20
result = x >= y
print(result)  # Output: True
    

2.4 Less than or equal to (<=)

The <= operator checks if the left value is less than or equal to the right value. It returns True if the condition is met and False otherwise.

a = 30
b = 40
result = a <= b
print(result)  # Output: True
    

3. Practical Example: Using Comparison Operators in Conditional Statements

Comparison operators are often used in conditional statements to make decisions based on the comparison results. For example:

age = 18

if age >= 18:
    print("You are eligible to vote.")
else:
    print("You are not eligible to vote.")
    

In this example, the >= operator is used to check if the age is greater than or equal to 18, and the appropriate message is printed based on the result.