Python Introduction

Python is a simple, easy-to-learn programming language that’s perfect for beginners. It uses clean, readable syntax that feels like writing plain English, making it a great first language for anyone new to coding.

In the beginning, you’ll learn how to install Python on your computer, explore popular code editors like VS Code and PyCharm, and write your very first Python program.

You’ll also understand how Python code runs, how to use the Python interpreter, and get comfortable with basic tools that make coding fun and efficient.

This foundation sets you up for all the exciting things you’ll build with Python!

  1. Introduction to Python
  2. Basic Syntax and Operations
  3. Control Flow
  4. Data Structures
  5. Functions
  6. Object-Oriented Programming (OOP)
  7. File Handling
  8. Error Handling
  9. Modules and Packages
  10. Visual Studio Code
  11. Google Colab
  12. PIP and Virtual Environment
  13. Final Projects
  14. Mock Interview Preparation

1. Introduction to Python

Topics

  • What is Python?
  • History and use cases
  • Features of Python
  • Installing Python (Windows/Mac/Linux)
  • Setting up IDEs: PyCharm, VS Code, IDLE
  • Writing and running your first Python script
Assignments | Coding Exercise | Hands On
  • Install Python and VS Code
  • Write a “Hello, World!” program
  • Quiz: Python overview and setup
  • Short answer: Why is Python popular?

2. Basic Syntax and Operations

Topics

  • Variables and data types
  • Input and output using input() and print()
  • Arithmetic, comparison, and logical operators
  • Comments and docstrings

Assignments | Coding Exercise | Hands On

  • Build a simple calculator
  • Take name and age as input and display formatted output
  • Code: Temperature converter
  • Quiz: Operators and data types

3. Control Flow

Topics

  • Conditional statements: if, elif, else
  • Loops: for, while
  • Control statements: break, continue, pass

Assignments | Coding Exercise | Hands On

  • Number guessing game
  • Check if a number is even or odd
  • Code: Factorial calculator using loops
  • Quiz: Control flow questions

4. Data Structures

Lists

  • Creation, indexing, slicing
  • List methods: append(), pop(), sort()

Tuples

  • Immutable sequences
  • Tuple vs List

Dictionaries

  • Key-value pairs
  • Dictionary methods: get(), items()

Sets

  • Creating sets
  • Set operations: union, intersection, etc.

Assignments | Coding Exercise | Hands On

  • Contact book using dictionary
  • Filter list of names starting with ‘A’
  • Code manipulation tasks on lists/tuples
  • Quiz: Data structure identification

5. Functions

Topics

  • Defining and calling functions
  • Positional, keyword, default arguments
  • Return values
  • Lambda functions
  • Scope: local and global

Assignments | Coding Exercise | Hands On

  • Fibonacci sequence using function
  • Use lambda to filter even numbers
  • Debug a function
  • Quiz: Function output prediction

6. Object-Oriented Programming (OOP)

Topics

  • Classes and objects
  • Constructors and destructors
  • Instance vs class variables
  • Instance, class, and static methods
  • Inheritance, polymorphism, encapsulation
  • Magic methods and operator overloading

Assignments | Coding Exercise | Hands On

  • Create a Student class
  • Implement inheritance with GraduateStudent
  • Build a class-based calculator
  • Short answer: OOP principles with examples

7. File Handling

Topics

  • Opening, reading, writing, and closing files
  • Using with statement
  • Working with CSV files using csv module

Assignments | Coding Exercise | Hands On

  • Word counter for a text file
  • Export dictionary data to CSV
  • File reader script
  • Quiz: File modes and operations

8. Error Handling

Topics

  • Syntax vs runtime errors
  • try, except, finally, and else
  • Custom exceptions

Assignments | Coding Exercise | Hands On

  • Handle division by zero
  • Raise custom exception for age validation
  • Update previous code with exception handling
  • Quiz: Exception hierarchy

9. Modules and Packages

Topics

  • Built-in modules: math, random, datetime
  • Installing third-party modules with pip
  • Creating custom modules
  • Package structure: __init__.py, imports

Assignments | Coding Exercise | Hands On

  • Create a utility module
  • Install and use pandas or numpy
  • Fix broken imports
  • Quiz: Modules vs packages

10. Visual Studio Code

Topics

  • Installing Python extension
  • Setting Python interpreter
  • Writing and running Python files
  • Useful plugins (linting, auto-format)

11. Google Colab

Topics

  • What is Google Colab?
  • Writing code in notebooks
  • Uploading/downloading files
  • Sharing and collaboration

12. PIP and Virtual Environment

Topics

  • Installing packages with pip
  • Upgrading/uninstalling packages
  • Creating virtual environments with venv
  • Activating/deactivating environments
  • requirements.txt for dependencies

Assignments | Coding Exercise | Hands On

  • Create a virtual environment
  • Install and use requests module to fetch API data
  • Submit working virtual environment project
  • Quiz: pip commands and usage

13. Final Projects

Project 1: Student Management System

Description:

A command-line app to:

  • Add, view, and delete student records
  • Store data in a text or CSV file
  • Modularize using functions

Skills Used:

  • Input/output
  • Lists, dictionaries
  • File handling
  • Functions

Evaluation:

  • Functionality and usability
  • Use of modular programming

Project 2: Bookstore Inventory with OOP

Description:

OOP-based system to:

  • Create a class Book and Inventory
  • Add, delete, and update book entries
  • Save to and load from CSV

Skills Used:

  • OOP principles
  • Exception handling
  • File operations

Evaluation:

  • Proper use of classes and inheritance
  • Clean code structure
  • Error handling implementation

14. Mock Interview Preparation

Key Activities

  • Resume Tips
    How to highlight Python skills and projects.

  • Interview Q&A
    Practice common Python questions:

    • Data types
    • Control flow
    • OOP
    • Exceptions

  • Coding Practice
    Solve 5–6 real interview-style problems (e.g., string reversal, frequency count).

  • Mock Interviews

    • 1-on-1
    • Includes 2 coding + 3 theory questions

  • Feedback Session
    Discuss strengths and improvement areas.