1. Introduction to Python Programming: • What is Python Language • Why Python Language • Future Scope in Python • Features of Python 2. Setting up and Installing Software: • Prerequisite for Python • Installing Python and Setting PATH • Installation of IDE (IDLE / VS Code / PyCharm) • Running First Python Program 3. Variables, Data Types & Constants: • What are Variables in Python (with practical) • Python Data Types (Numbers, Strings, Boolean) (with practical) • Type Casting and Dynamic Typing (with practical) • Constants and Naming Conventions (with practical) • Getting Input from User (with practical) • Displaying Output to User (with practical) 4. Operators: • Arithmetic Operators (with practical) • Comparison Operators (with practical) • Logical Operators (with practical) • Bitwise Operators (with practical) • Assignment Operators (with practical) • Identity and Membership Operators (with practical) 5. Control Statements: • if, if-else, if-elif-else Statements (with practical) • for Loop in Python (with practical) • while Loop in Python (with practical) • break, continue and pass Statements (with practical) • Nested Loops (with practical) 6. Functions: • Defining and Calling a Function (with practical) • Function Arguments (Default, Keyword, Arbitrary) (with practical) • Return Statement and Scope of Variables • Lambda Functions in Python (with practical) • Recursive Functions (with practical) 7. Lists, Tuples, Sets & Dictionaries: • List and List Operations (with practical) • Tuple and Tuple Operations (with practical) • Set and Set Operations (with practical) • Dictionary and Dictionary Methods (with practical) 8. Strings and String Handling: • String Literals and Formatting (with practical) • String Indexing and Slicing (with practical) • String Methods (with practical) • Working with Multiline Strings 9. Object-Oriented Programming (OOP): • Classes and Objects in Python (with practical) • Constructors and Destructors • Inheritance and Types (Single, Multiple, Multilevel) • Method Overriding and Super() • Encapsulation and Abstraction • Polymorphism in Python 10. Exception Handling: • Errors vs Exceptions • Try, Except, Else, Finally Blocks (with practical) • Raising Exceptions (with practical) • Custom Exceptions in Python 11. File Handling: • Reading and Writing Files (Text and Binary) (with practical) • Open, Close, Read, Write Methods • File Modes (r, w, a, rb, wb etc.) • Using ‘with’ Statement for File Handling • Reading/Writing Line by Line (with practical) 12. Modules and Packages: • Importing Built-in Modules (math, random etc.) • Creating User-defined Modules • Working with __main__ and __name__ • Python Package Structure 13. Python Standard Libraries: • os, sys, datetime, json, random • Useful functions from libraries (with practical) 14. Introduction to Advanced Topics: • Basic Understanding of NumPy & Pandas • Simple Data Analysis with Pandas (optional) • Basic GUI using Tkinter (optional) • Working with APIs (optional)