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:

  • Create and use sets in Python

  • Understand set properties: unordered, unique, mutable

  • Add, remove, and loop through set items

  • Perform basic set operations like union, intersection, and difference

📚 Lesson Content

🔹 What is a Set in Python?

A set is an unordered collection of unique elements.

Syntax:

python
colors = {"red", "green", "blue"}

✅ No duplicates. Unordered. Mutable.

🔸 Creating Sets

python
numbers = {1, 2, 3, 4}
names = set(["Krishna", "Radha", "Krishna"]) # duplicates removed
print(names) # Output: {'Radha', 'Krishna'}

⚠️ Use set() constructor to create an empty set.
{} by itself creates an empty dictionary.

python
empty_set = set()

🔸 Set Characteristics

Property Explanation
Unordered No indexing — items have no fixed position
Unique items Duplicates are automatically removed
Mutable You can add or remove items

🔸 Adding and Removing Items

python
colors = {"red", "blue"}

colors.add("green") # Adds one item
colors.update(["yellow", "purple"]) # Adds multiple items

colors.remove("blue") # Removes item (error if not found)
colors.discard("pink") # Removes item (no error if not found)

🔸 Looping Through a Set

python
for color in colors:
print(color)

✅ The order of output is unpredictable due to the unordered nature of sets.

🔸 Set Operations

Operation Symbol or Method Example Description
Union ` or.union()` `a
Intersection & or .intersection() a & b Items common to both
Difference - or .difference() a - b Items in a but not in b

✅ Example:

python
a = {1, 2, 3}
b = {2, 3, 4}

print(a | b) # {1, 2, 3, 4}
print(a & b) # {2, 3}
print(a - b) # {1}

🧠 Use Cases for Sets

  • Removing duplicates from a list:

    python
    names = ["Radha", "Krishna", "Radha"]
    unique_names = set(names)

  • Membership testing (if item in set) is very fast

  • Set operations in mathematical logic or filtering

📝 Assignment

  1. Create a set of 5 fruit names.

  2. Add one more fruit to the set.

  3. Remove one fruit using discard().

  4. Create another set and perform:

    • Union

    • Intersection

    • Difference

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