Module 1: Introduction to Python

1. History and features of Python

2. Installing Python and IDEs (IDLE, VSCode, PyCharm)

3. Python interactive shell and script mode

4. Syntax, Keywords, Identifiers

5. Input/Output and Comments

Module 2: Variables, Data Types & Operators

1. Variables and Constants

2. Data types: int, float, str, bool, list, tuple, dict, set

3. Type casting

4. Operators: arithmetic, relational, logical, bitwise, assignment

5. Expressions and operator precedence

Module 3: Control Structures

1. Conditional Statements: if, if-else, if-elif-else

2. Looping: for, while, nested loops

3. Loop control: break, continue, pass

4. Use of range() function

Module 4: Functions and Recursion

1. Defining and calling functions

2. Function arguments: positional, keyword, default, variable-length

3. Return values

4. Scope: local and global

5. Lambda functions

6. Recursion and use cases

Module 5: Data Structures in Python

1. List: creation, indexing, slicing, methods

2. Tuple: immutability, indexing

3. Set: uniqueness, operations

4. Dictionary: key-value pairs, methods

5. List comprehensions and dictionary comprehensions

Module 6: String Handling

1. String creation and indexing

2. String methods and formatting

3. Slicing, searching, replacing, splitting

4. String comparison

Module 7: File Handling

1. File types: text and binary

2. Reading and writing files

3. Context manager (with statement)

4. File operations (readline, read, write, append)

5. Exception handling with file operations

Module 8: Exception Handling

1. Syntax errors vs. exceptions

2. Try, except, finally

3. Else block with try

4. Built-in exceptions

5. Raising exceptions

6. Creating custom exceptions

Module 9: Object-Oriented Programming in Python

1. Classes and Objects

2. Constructor (__init__)

3. Instance and Class variables

4. Methods: instance, class, static

5. Inheritance and Polymorphism

6. Encapsulation and abstraction

7. super() and method overriding

Module 10: Modules and Packages

1. Importing standard modules (math, datetime, random, etc.)

2. Creating and using custom modules

3. Python Package Index (PyPI)

4. Virtual environments and pip

Module 11: Working with Libraries (Intro)

1. NumPy for numerical operations

2. Pandas for data manipulation

3. Matplotlib for basic plotting

4. Optional: tkinter for GUI applications

Module 12: Final Project / Mini Applications

1. CLI-based calculator / to-do list

2. File analyzer / log processor

3. Simple data visualizer using Pandas and Matplotlib

4. Quiz app or student record system