Module 1: Introduction to Python

• Overview of Python & its applications
• Installing Python & IDEs (VS Code, PyCharm)
• Writing your first Python program
• Understanding Python syntax, keywords, and identifiers

Module 2: Basic Python Concepts

• Variables and Data Types (int, float, string, bool)
• Operators (Arithmetic, Comparison, Logical, Assignment)
• Input and Output functions
• Type Conversion

Module 3: Control Flow

• Conditional Statements (if, elif, else)
• Loops (for, while)
• Loop control statements (break, continue, pass)

Module 4: Functions and Modules

• Defining and calling functions
• Function arguments and return values
• Lambda functions
• Importing modules and standard libraries

Module 5: Data Structures

• Lists, Tuples, Sets, and Dictionaries
• Indexing, slicing, and basic operations
• Nested data structures
• Iterating through data structures

Module 6: File Handling

• Reading and writing files (txt, csv)
• Working with file paths
• Exception handling (try, except, finally)

Module 7: Object-Oriented Programming

• Classes and Objects
• Attributes and Methods
• Inheritance and Polymorphism
• Encapsulation and Abstraction

Module 8: Advanced Python

• List, Dictionary, and Set Comprehensions
• Decorators and Generators
• Regular Expressions
• Working with JSON & CSV

Module 9: Python for Data

• Introduction to NumPy & Pandas
• Data manipulation & analysis
• Data visualization with Matplotlib & Seaborn

Module 10: Web Development with Python

• Introduction to Flask/Django
• Building simple web applications
• Handling forms and templates
• Connecting to databases (SQLite/MySQL)

Module 11: Python for AI & Machine Learning

• Introduction to AI & ML concepts
• Working with Scikit-learn
• Building simple ML models
• Basic concepts of Neural Networks

Module 12: Projects & Capstone

• Mini projects (calculator, web scraper, to-do app, chatbots)
• Final Capstone Project integrating Python skills
• Code optimization & best practices