Course Content
Module 2 – Introduction to Python Programming
In this Introduction to Python module, learners explore Python’s clear, readable syntax and powerful features. Beginning with installation and a simple “Hello, World!” script, you will progress through variables, control flow and functions using step-by-step examples. By the end, you will be equipped to write your own Python programmes, automate routine tasks and tap into an extensive library ecosystem for real-world projects.
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Module 3 – Variables, Data Types and Basic Operations
In the Variables, Data Types and Basic Operations in Python module, learners explore how to store and manage data using variables, master fundamental types such as integers, floats, strings and booleans, and perform arithmetic, comparison and logical operations step by step. Clear explanations, real world examples and hands on exercises guide you through writing and debugging code. By the end of this module, you will be ready to build dynamic Python programs and automate everyday tasks.
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Module 4 – Control Flow – Conditions and Loops
Control flow structures determine the order in which your program’s code executes. With conditional statements, you can make decisions and execute certain code blocks only when specific conditions are met. Loops allow you to repeat actions efficiently without writing redundant code. In this module, we will explore fundamental control flow concepts in Python in a step-by-step manner, similar to Microsoft’s learning curriculum. By the end, you’ll understand how to use if, elif, and else statements (including nested conditions) for decision-making, how truthy and falsy values work in Boolean logic, how to construct for loops (using range() and iterating over collections), how to use while loops along with loop control statements (break and continue), and how to leverage list comprehensions and generator expressions for concise looping. Finally, we’ll apply these concepts in a practical exercise to build an interactive decision-making system. Each section below includes explanations, code examples, and mini-exercises to reinforce the concepts, all formatted for clarity and easy follow-along.
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Module 5 – Functions and Code Organisation
Imagine you need to clean up a messy data set or send a personalised email to each customer. Instead of writing the same steps over and over, you can create a function and call it whenever you need. In this lesson on Functions and Code Organisation, you will learn how to define functions, pass and return information, document your work and group related code into modules for easy reuse and maintenance.
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Introduction to Python Programming (Copy 2)

Defining and Calling Functions in Python

What is a Function in Python?

A function in Python is defined using the def keyword, followed by:

  • The function name

  • A list of parameters inside parentheses ()

  • An indented code block that forms the function’s body

Example: Simple Function

def greet(name, age):
    """Print a greeting with a name and age."""  # This is a docstring
    print(f"{name} is {age} years old.")

# Calling the function
greet("Alice", 21)

Output:

Alice is 21 years old.

Explanation of the Example

  • Function Name: greet

  • Parameters: name and age

  • Function Body: The indented print() line

  • Function Call: greet("Alice", 21)

Here, we pass "Alice" and 21 as arguments to the greet function, which then executes and prints the greeting.

How Function Definition Works

  • The def keyword introduces the function.

  • The first indented line can be a docstring (optional), which describes what the function does.

  • The rest of the indented code is the function body.

  • Defining a function creates a function object and assigns it to the function name.

You can even assign a function to another variable:

say_hello = greet
say_hello("Bob", 30)

How to Call a Function

To call a function:

  • Use its name followed by parentheses ()

  • Pass arguments inside the parentheses if required

Example:

greet("Alice", 21)

Flow of Function Execution

When a function is called:

  1. Python jumps to the function definition

  2. Executes the body of the function

  3. Returns control to the point where the function was called

Example: Function that Returns a Value

def add(a, b):
    return a + b

result = add(5, 3)
print(result)  # Output: 8
  • add is a function that returns the sum of a and b

  • add(5, 3) returns 8, which we store in result and print

Why Use Functions?

  • Avoid code repetition

  • Make programs more organized and modular

  • Improve code readability and reusability