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 work with Python lists

  • Access and update list elements using indexes

  • Use common list methods like append(), remove(), insert(), and sort()

  • Iterate over lists and use slicing

📚 Lesson Content

🔹 What is a List in Python?

A list is an ordered collection of items (data) that is mutable, meaning it can be changed after it’s created.

List Syntax:

python
my_list = [item1, item2, item3]

✅ Lists can contain different data types:

python
numbers = [1, 2, 3]
names = ["Krishna", "Radha"]
mixed = [1, "hello", True, 3.14]

🔸 Accessing Items in a List

Use indexing to access individual items. Indexing starts from 0.

python
fruits = ["apple", "banana", "cherry"]
print(fruits[0]) # Output: apple

🔸 Modifying List Elements

python
fruits[1] = "mango"
print(fruits) # ['apple', 'mango', 'cherry']

✅ Lists are mutable — you can change elements.

🔸 Common List Methods

Method Description Example
append(x) Adds item to the end fruits.append("orange")
insert(i, x) Inserts item at index i fruits.insert(1, "kiwi")
remove(x) Removes first matching value x fruits.remove("banana")
pop() Removes and returns the last item fruits.pop()
sort() Sorts list in ascending order numbers.sort()
reverse() Reverses the order fruits.reverse()

🔸 List Slicing

Slicing returns a portion of the list.

python
numbers = [10, 20, 30, 40, 50]
print(numbers[1:4]) # [20, 30, 40]
Slice Meaning
list[start:end] from index start to end-1
list[:n] from beginning to index n-1
list[-1] last item in the list

🔄 Looping Through a List

python
for fruit in fruits:
print(fruit)

🧠 Mini Practice

python
colors = ["red", "blue", "green"]
colors.append("yellow")
colors[1] = "purple"
print(colors)

📝 Assignment

Create a list of your 5 favorite books. Then:

  1. Add a new book to the end

  2. Change the third book title

  3. Remove the second book

  4. Print the list using a loop

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