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
3 Control Flow Explained

3 Control Flow Explained

Key Concepts

Control flow in Python refers to the order in which statements are executed in a program. The three primary control flow structures are:

1. Conditional Statements

Conditional statements allow you to execute different blocks of code based on certain conditions. The primary keywords used are if, elif, and else.

Example:

age = 18

if age < 18:
    print("You are a minor.")
elif age == 18:
    print("You just turned 18!")
else:
    print("You are an adult.")
    

Think of conditional statements as a decision tree where each branch represents a different outcome based on the condition.

2. Loops

Loops allow you to execute a block of code repeatedly. Python provides two main types of loops: for loops and while loops.

Example of a for loop:

for i in range(5):
    print("Iteration:", i)
    

Example of a while loop:

count = 0
while count < 5:
    print("Count:", count)
    count += 1
    

Think of loops as a merry-go-round where the code block keeps executing until a certain condition is met.

3. Control Flow Statements

Control flow statements allow you to alter the normal flow of a loop. The primary keywords used are break, continue, and pass.

Example using break:

for i in range(10):
    if i == 5:
        break
    print(i)
    

Example using continue:

for i in range(10):
    if i % 2 == 0:
        continue
    print(i)
    

Example using pass:

for i in range(5):
    if i == 3:
        pass  # Placeholder for future code
    print(i)
    

Think of control flow statements as traffic signals that direct the flow of your code, allowing you to skip certain parts or exit early.

Putting It All Together

By understanding and using conditional statements, loops, and control flow statements, you can create dynamic and responsive Python programs. These structures allow you to make decisions, repeat tasks, and control the flow of your code efficiently.

Example:

user_input = input("Enter a number: ")
number = int(user_input)

if number < 0:
    print("Negative number detected.")
else:
    for i in range(number):
        if i == 3:
            continue
        print("Count:", i)
        if i == 7:
            break
    

In this example, the program takes user input, checks if it's negative, and then iterates through the numbers, skipping 3 and stopping at 7.