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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Lesson 1: Introduction to Python & Setup
Lesson 2: Python Real-World Applications
Lesson 3: Getting Started with Python
Lesson 4: Installing Python Packages and Modules
Summary
Quiz: Introduction to Python and Setup
Lab Activity : Intro to Python
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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Lesson 1: Python Variables
Lesson 2: Basic Arithmetic Operations
Lesson 3: Working with String
Summary
Quiz: Variables, Data Types and Basic Operations
Lab Activity : Variables, Data Types and Basic Operations
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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Lesson 1: if, elif, else statements and nesting
Lesson 2: Truthiness, boolean logic, and chaining comparisons
Lesson 3: for loops with range() and iterating over collections
Lesson 4: while loops and loop control (break, continue)
Lesson 5: List comprehensions and generator expressions
Summary
Quiz: Control Flow – Conditions and Loops
Lab Activity : Building Calculator
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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Lesson 1: Defining and calling functions
Lesson 2: Function Arguments: Positional, Keyword, Default, and Variable-Length
Lesson 3: Return values and early exits
Introduction to Python Programming (Copy 2)

Lesson: Python Variables

Introduction

Imagine telling your computer to remember numbers for you, then using those numbers to add, subtract, or even calculate powers – all with just a few lines of code.

In this lesson, you’ll explore Python variables and basic operations, forming the foundation for building more advanced programs. Whether you’re automating a simple task or analysing complex data, these concepts are essential.

What Is a Variable?

A variable in Python is like a labelled container that stores information. You can:

  • Save values like numbers or text

  • Change them later

  • Use them in operations and functions

Python automatically detects the data type (no need to declare it).

Real-World Analogy:

Think of a variable as a storage box:

  • You label it (user_name)

  • Put something inside ("Alex")

  • Use that label later to access or change the content

 Example:

user_name = "Alex"
age = 30

print(user_name)
print(age)

 Output:

Alex
30

Variable Naming Rules & Best Practices

To make your code readable and error-free, follow these naming rules:

Rule Description
Must begin with a letter or underscore _ Valid: user, _name
Cannot start with a number Invalid: 1user
Can contain letters, numbers, and underscores Valid: user_name1
Avoid reserved keywords Invalid: for, if, class, etc.
Use lowercase and underscores (snake_case) Follows PEP 8 (Python style guide)

 

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