Python Programming Mastery: Beginner to Advanced

Module 1: Introduction to Python

• What is Python?

• Installing Python and IDE Setup

• Running Python Programs

• Python Syntax

• Comments and Documentation

Module 2: Variables and Data Types

• Variables

• Naming Conventions

• Integer, Float, String, Boolean

• Type Conversion

• User Input and Output

Module 3: Python Operators

• Arithmetic Operators

• Assignment Operators

• Comparison Operators

• Logical Operators

• Membership Operators

• Identity Operators

Module 4: Conditional Statements

• if Statement

• if-else Statement

• Nested if

• elif Ladder

• Real-World Examples

Module 5: Loops

• for Loop

• while Loop

• Nested Loops

• break Statement

• continue Statement

• pass Statement

Module 6: Strings

• String Creation

• String Indexing

• String Slicing

• String Methods

• String Formatting

• F-Strings

Module 7: Lists

• Creating Lists

• Indexing and Slicing

• List Methods

• List Comprehensions

• Nested Lists

Module 8: Tuples

• Creating Tuples

• Tuple Operations

• Packing and Unpacking

• Tuple Methods

Module 9: Sets

• Creating Sets

• Set Operations

• Union

• Intersection

• Difference

• Set Methods

Module 10: Dictionaries

• Creating Dictionaries

• Accessing Data

• Dictionary Methods

• Nested Dictionaries

• Real-Life Applications

Module 11: Functions

• Function Basics

• Parameters and Arguments

• Return Statements

• Default Arguments

• Keyword Arguments

• Variable Length Arguments

• Lambda Functions

• Recursion

Module 12: Modules and Packages

• Importing Modules

• Creating Custom Modules

• Python Standard Library

• Package Structure

Module 13: Exception Handling

• Errors vs Exceptions

• try-except

• else and finally

• Raising Exceptions

• Custom Exceptions

Module 14: File Handling

• Reading Files

• Writing Files

• Append Mode

• Working with Text Files

• CSV Files

• JSON Files

Module 15: Object-Oriented Programming (OOP)

• Classes and Objects

• Constructors

• Instance Variables

• Methods

• Inheritance

• Polymorphism

• Encapsulation

• Abstraction

Module 16: Python Built-in Functions

• len()

• type()

• range()

• enumerate()

• zip()

• map()

• filter()

• sorted()

• sum()

• min() and max()

Module 17: Working with Date and Time

• datetime Module

• Current Date and Time

• Date Calculations

• Formatting Dates

Module 18: Problem Solving and Logic Building

• Pattern Printing

• Number Problems

• String Problems

• List Problems

• Interview Questions

• Coding Challenges

Module 19: Mini Projects

• Calculator Application

• Number Guessing Game

• Password Generator

• Student Management System

• Expense Tracker

Module 20: Final Capstone Project

• Library Management System
  OR

• Employee Management System
  OR

• Inventory Management System

Course Outcomes

After completing this course, students will be able to:

• Write Python programs confidently

• Understand Object-Oriented Programming

• Handle files and exceptions

• Build real-world Python applications

• Solve coding interview questions

• Create independent Python projects

• Prepare for advanced topics like Data Analysis, Machine Learning, and AI