Python Programming Course Content (Beginner to Advanced)

Module 1: Introduction to Python

• What is Python?

• History & Features of Python

• Applications of Python (Web, Data Science, AI, Automation)

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

• First Python Program

• Python Syntax & Indentation

• Module 2: Python Basics

• Variables & Data Types

• Keywords & Identifiers

• Type Casting

• Input & Output Functions

• Comments in Python

• Module 3: Operators in Python

• Arithmetic Operators

• Assignment Operators

• Comparison Operators

• Logical Operators

• Bitwise Operators

• Membership Operators

• Identity Operators

• Module 4: Control Flow Statements

• Conditional Statements (if, if-else, elif)

• Nested Conditions

• Looping Statements

  • for loop

  • while loop

• break, continue, pass statements

• Module 5: Data Structures

• Strings

  • String Methods

  • String Slicing

• Lists

  • List Operations & Methods

• Tuples

• Sets

• Dictionaries

• Module 6: Functions

• Built-in Functions

• User-defined Functions

• Function Arguments

  • Positional

  • Keyword

  • Default

  • Variable Length (*args, **kwargs)

• Module 7: Modules & Packages

• Importing Modules

• Math, Random, DateTime Modules

• Creating User-defined Modules

• Packages in Python

• Module 8: File Handling

• File Types

• File Modes

• Reading & Writing Files

• Working with CSV Files

• Exception Handling in File Operations

• Module 9: Exception Handling

• Types of Errors

• try, except, else, finally

• Multiple Exceptions

• Custom Exceptions

• Module 10: Object Oriented Programming (OOP)

• Class & Object

• Constructors (init)

• Methods & Attributes

• Inheritance

• Polymorphism

• Encapsulation

• Abstraction

• Module 11: Advanced Python

• Iterators & Generators

• Decorators

• Regular Expressions (re module)

• Multithreading

• Multiprocessing

• Module 12: Database Connectivity

• Introduction to Databases

• SQLite with Python

• MySQL Connectivity

• CRUD Operations

• Module 13: Python Libraries Overview

• NumPy (Basics)

• Pandas (Data Handling)

• Matplotlib (Visualization)

• Requests Library

• Module 14: Python for Automation

• Automation Basics

• Web Scraping (BeautifulSoup)

• Selenium Basics

• File & Folder Automation

• Module 15: Mini Projects

• Calculator Application

• Student Management System

• Password Generator

• Number Guessing Game

• File Management Tool

• Module 16: Final Project

• Real-world Python Project

• Project Documentation

• Viva / Interview Preparation

• Module 17: Career & Interview Preparation

• Python Interview Questions (Basic to Advanced)

• Resume Preparation

• Git & GitHub Basics

• Freelancing & Job Opportunities

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  Course Outcome:
  After completing this course, students will be able to build Python applications, automate tasks, work with databases, and prepare for jobs in Python development.

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• Lambda Functions

• Recursion