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
About Lesson

🎯 Learning Objectives

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

  • Understand the concept of data types in Python

  • Identify and use basic data types: str, int, float, bool

  • Use the type() function to check data types

  • Write code using appropriate data types for different use cases

📚 Lesson Content

🔹 What Are Data Types?

In Python, every value has a data type that defines what kind of data it is and what operations can be performed on it.

Python’s data types are built-in and automatically detected by the interpreter.

🔸 1. String (str)

Used to represent text. Strings are enclosed in quotes.

python
name = "Krishna"
print(type(name)) # <class 'str'>

You can use single, double, or even triple quotes:

python
text1 = 'Hello'
text2 = "World"
text3 = """Multiline
String"""

🔸 2. Integer (int)

Represents whole numbers (positive or negative).

python
age = 25
print(type(age)) # <class 'int'>

🔸 3. Float (float)

Represents decimal numbers or floating-point values.

python
price = 19.99
print(type(price)) # <class 'float'>

🔸 4. Boolean (bool)

Represents True or False values.

python
is_student = True
print(type(is_student)) # <class 'bool'>

Booleans are often used in if conditions and logic-based operations.

🔍 Using the type() Function

You can check the data type of any value or variable using type().

python
print(type("hello")) # str
print(type(100)) # int
print(type(3.14)) # float
print(type(False)) # bool

🧠 Fun Activity

Try this code and guess the data types:

python
a = "123"
b = 123
c = 12.3
d = True

Use type() on each variable.

🧱 Quick Reference Table

Data Type Example Function/Purpose
str "Hello" Text strings
int 42 Whole numbers
float 3.14 Decimal numbers
bool True/False Logical values

💡 Real-world Use Examples

  • str: Usernames, names, messages

  • int: Age, quantity, number of items

  • float: Price, height, temperature

  • bool: Login status, conditions

📝 Assignment

Create four variables with the following:

  • Your full name (string)

  • Your age (integer)

  • Your height (float)

  • Whether you are currently studying Python (boolean)

Use print() and type() to display the value and data type of each.

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