Course Content
Topic 1: Introduction to Python
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Lesson 1.1: What is Python and Why Learn It?
Lesson 1.2: Writing Your First Python Program
Module 2: Variables and Data Types
🎯 Module Objective: To help learners understand how to store, manage, and work with different types of data in Python using variables, and how to recognize and convert between data types.
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Lesson 2.1: Variables and Assignment
Lesson 2.2: Data Types in Python
Lesson 2.3: Type Conversion and Input
Topic 3: Control Flow
🎯 Module Objective This module introduces learners to Python operators used in calculations, comparisons, and logic. Learners will understand how expressions are evaluated and how to build logical conditions using operators.
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Lesson 3.1: Arithmetic Operators
Lesson 3.2: Comparison and Logical Operators
Module 4: Control Flow
🎯 Module Objective: This module introduces the concept of decision-making and repetition in Python programs using: if-else statements for loops while loops break, continue and basic loop control
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Lesson 4.1: If-Else Statements
🔁 Lesson 4.2: Loops (For and While)
🔂 Lesson 4.3: Break and Continue in Loops
Module 5: Functions
🎯 Module Objective: This module helps learners understand how to organize code using functions. They’ll learn how to: Create and call functions Use parameters and return values Understand the concept of scope Get introduced to recursion
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🔧 Lesson 5.1: Defining and Calling Functions
🔁 Lesson 5.2: Scope and Recursion
Module 6: Lists and Tuples
🎯 Module Objective: This module introduces learners to two important data collection types in Python — lists and tuples. Learners will: Create, access, and modify lists Use list methods like append(), remove(), sort() Understand the difference between mutable (lists) and immutable (tuples)
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🧺 Lesson 6.1: Introduction to Lists
🔒 Lesson 6.2: Tuples and Immutability
Module 7: Dictionaries and Sets
🎯 Module Objective: This module introduces two powerful Python data types: Dictionaries: for storing key–value pairs Sets: for storing unordered, unique items Learners will: Understand the syntax and usage of dictionaries and sets Perform operations like adding, removing, updating Use dictionary methods (get(), update(), keys(), values())
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🗂️ Lesson 7.1: Python Dictionaries
🔣 Lesson 7.2: Python Sets
Module 8: File Handling
🎯 Module Objective: This module introduces learners to the basics of file handling — reading from and writing to text files using Python. Learners will: Open and read from a file Write to and append content in a file Use the with statement for safe file handling
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📂 Lesson 8.1: Reading and Writing Files
🛠️ Module 9: Error Handling in Python
🎯 Module Objective: This module introduces learners to error handling in Python — a critical skill for writing stable and reliable programs. Learners will: Understand what exceptions are Learn how to use try, except, else, and finally Handle common Python errors (e.g., ZeroDivisionError, ValueError, FileNotFoundError) Write code that doesn’t crash when unexpected issues occur
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🛑 Lesson 9.1: Try-Except Block
Module 10: Final Project
🎯 Module Objective: To help learners consolidate and apply all the skills they’ve gained throughout the course by building a small, real-world project. Upon successful completion, learners can earn a course completion certificate via Tutor LMS.
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🗂️ Lesson 10.1: Option 1: Student Report Card Generator
📅 Lesson 10.2: Option 2: To-Do List Manager (with File Storage)
🧮 Lesson 10.3: Option 3: Simple Calculator App
Lesson 10.4: Course Recap
Python for Absolute Beginners: From Zero to Hero – Free

🎯 Learning Objectives

By the end of this lesson, learners will be able to:

  • Define a function using def

  • Pass data using parameters and arguments

  • Use return to send back values

  • Call a function multiple times with different inputs

📚 Lesson Content

🔹 What is a Function in Python?

A function is a block of reusable code that performs a specific task.
Functions make your code:

  • Organized

  • Reusable

  • Easier to test and debug

🔸 Defining a Function

Syntax:

python
def function_name(parameters):
# code block

Example:

python
def greet():
print("Hello from a function!")

greet()

✅ greet() is a function call

🔸 Functions with Parameters

You can pass values to a function using parameters:

python
def greet(name):
print("Hello", name)

greet("Radha") # Output: Hello Radha
greet("Mohan") # Output: Hello Mohan

Parameters are variables inside the function
Arguments are values you pass when calling the function

🔸 Functions with Return Values

Use return to send data back to where the function was called:

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

result = add(10, 5)
print("Sum is:", result)

🔸 Multiple Parameters and Dynamic Behavior

python
def calculate_area(length, width):
return length * width

area = calculate_area(5, 3)
print("Area:", area)

⚠️ Common Mistakes

Mistake Why It’s Wrong
Calling a function without parentheses (greet vs greet()) Won’t execute the function
Missing return keyword Function won’t give back any result
Incorrect number of arguments Will cause a TypeError

🧠 Mini Practice

python
def welcome(name):
return "Welcome, " + name + "!"

msg = welcome("Poorva")
print(msg)

📝 Assignment

Create the following functions:

  1. square(num) – returns the square of a number

  2. is_even(num) – returns True if the number is even, else False

  3. full_name(first, last) – returns the full name as a single string

Call each function at least twice with different inputs.

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