PYTHON COURSE CONTENT

(Beginner to Advanced Level)

BEGINNER LEVEL (FOUNDATION)

Module 1: Introduction to Python

• What is Python?

• Features & Applications

• Installing Python & IDEs (IDLE, PyCharm, VS Code)

• Running Python Programs

• Understanding IPython / Jupyter Notebook

Module 2: Python Basics

• Keywords & Identifiers

• Variables & Data Types

• Input and Output functions

• Comments in Python

• Type Casting

Module 3: Operators

• Arithmetic Operators

• Assignment Operators

• Comparison Operators

• Logical Operators

• Bitwise Operators

• Identity & Membership Operators

Module 4: Control Flow

• if, elif, else

• Nested Conditions

• Common Real-life Condition Questions

• for loop (with range)

• while loop

• Nested Loops

• Loop Control Statements: break, continue, pass

Module 5: Data Structures (Basic)

• Strings (indexing, slicing, functions)

• Lists

• Tuples

• Sets

• Dictionaries

• Built-in functions for each data structure

Module 6: Functions

• Creating Functions

• Function Arguments

• Return Statement

• Recursion

• Lambda Functions

• map(), filter(), reduce()

Module 7: Modules & Packages

• Creating Modules

• Importing Modules

• Using Standard Modules (math, random, datetime)

Module 8: File Handling

• Reading Files

• Writing Files

• Append Mode

• Working with CSV files

Module 9: Error Handling

• Types of Errors

• Try–Except Block

• Multiple Except

• Finally Block

• Custom Errors (User-defined exceptions)

Module 10: Beginner Projects

• Calculator

• Number Guessing Game

• Contact Book

• Basic To-Do App

• Simple Billing System

ADVANCED LEVEL (PROFESSIONAL)

Module 11: Advanced Data Structures

• List Comprehension

• Dictionary Comprehension

• Nested Data Structures

• Stacks, Queues using Lists

• Linked List Concepts

Module 12: Object-Oriented Programming

• Class & Objects

• Constructors

• Encapsulation

• Inheritance

• Polymorphism

• Abstraction

• Method Overriding

• Magic / Dunder Methods (__init__, __str__, etc.)

Module 13: Advanced Modules

• OS Module

• Sys Module

• SHUTIL

• JSON Module

• Logging in Python

Module 14: Regular Expressions (RegEx)

• Meta Characters

• Special Sequences

• Searching & Matching

• Practical Use Cases

Module 15: Database Connectivity

• Introduction to SQL & Databases

• Connecting Python with MySQL

• CRUD operations

• SQLite Usage

Module 16: Working With APIs

• What is an API

• Using REST APIs

• JSON Data Handling

• Building small API projects

Module 17: Python for Data Analysis

• Numpy (Arrays, Operations)

• Pandas (Series, DataFrame, Cleaning Data)

• Matplotlib (Basic Charts)

• Data Cleaning & Preprocessing Techniques

Module 18: Python for Automation

• Automating Files & Folders

• Bulk Renaming

• Automating Email Sending

• Scheduling Tasks

Module 19: Python for Web Development

• Flask Basics

• Routing

• Templates

• Building Mini Web App

Module 20: Python for Machine Learning (Optional)

• Introduction to ML

• Supervised Learning Basics

• Train/Test Split

• Linear Regression

• Predictions

Module 21: Advanced Projects

• Student Management System

• Billing & Inventory System

• Weather App using API

• Movie Booking System

• Portfolio Website using Flask

• Data Analysis Dashboard (Pandas + Matplotlib)

CERTIFICATION PROJECT

Students will build one major Python project combining:
✔ Functions
✔ OOP
✔ File Handling
✔ Database
✔ UI / Web / Data Analysis