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:

  • Define and create tuples

  • Understand the concept of immutability

  • Access tuple items using indexing

  • Compare tuples with lists

  • Use tuple unpacking in Python

📚 Lesson Content

🔹 What is a Tuple in Python?

A tuple is a collection of items that is:

  • Ordered

  • Immutable (cannot be changed)

  • Can contain mixed data types

  • Created using parentheses ()

🔸 Creating a Tuple

python
colors = ("red", "green", "blue")
print(colors[0]) # red

✅ You can use tuples to store any type of values:

python
person = ("Krishna", 30, True)

If it’s a single-item tuple, don’t forget the comma:

python
one_item = ("apple",)

🔸 Accessing Items in a Tuple

Just like lists, tuples use indexing:

python
colors = ("red", "green", "blue")
print(colors[1]) # green

✅ Index starts at 0.

🔸 Immutability: Key Difference from Lists

python
colors = ("red", "green", "blue")
# colors[0] = "yellow" ❌ This will raise a TypeError

Tuples cannot be changed after creation.

✅ They are read-only, making them more secure and memory-efficient.

🔸 Tuple Packing and Unpacking

You can assign multiple values to a tuple at once:

python
point = (10, 20)
x, y = point
print(x) # 10
print(y) # 20

This is called unpacking.

🔄 Tuple vs List Comparison

Feature Tuple List
Syntax () []
Mutable ❌ No (Immutable) ✅ Yes
Performance ✅ Faster Slower
Use Case Fixed data Changing data
Methods Limited (count, index) Many (append, remove, etc.)

🧠 When to Use Tuples

  • When the data should not change

  • For function returns (e.g., coordinates, RGB values)

  • For dictionary keys (lists can’t be used as keys, tuples can)

📝 Assignment

  1. Create a tuple of 4 favorite cities.

  2. Access and print the second and last city.

  3. Try modifying one element (observe the error).

  4. Use tuple unpacking to assign each city to a variable and print them.

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