Module 1: Introduction to Python

• History of Python and its growth in popularity
• Installing Python and setting up the development environment (PyCharm, VS Code, Jupyter)
• Understanding the Python interpreter and REPL (Read-Eval-Print Loop)
• Writing and running your first Python program

Module 2: Python Basics

• Variables, data types, and type casting
• Operators and expressions
• Input/output functions
• Comments and documentation in Python

Module 3: Control Flow

• Conditional statements (if, else, elif)
• Loops: for, while, and nested loops
• Break, continue, and pass statements
• Error handling with try-except blocks

Module 4: Functions and Modules

• Defining and calling functions
• Function arguments, default parameters, and return values
• Lambda functions and higher-order functions
• Importing and using built-in modules
• Writing and using custom modules

Module 5: Data Structures in Python

• Lists, tuples, sets, and dictionaries
• List comprehensions and dictionary comprehensions
• Iterating through data structures
• Advanced operations on data structures (sorting, filtering)
• Working with collections module

Module 6: File Handling

• Reading from and writing to text and CSV files
• File manipulation (open, close, append, and delete files)
• Using context managers to handle files efficiently
• Working with JSON and XML files

Module 7: Object-Oriented Programming (OOP)

• Introduction to classes and objects
• Defining attributes and methods
• Inheritance, polymorphism, and encapsulation
• Magic methods and operator overloading
• Best practices in OOP

Module 8: Error Handling and Debugging

• Debugging techniques in Python
• Using Python’s built-in exceptions and raising custom exceptions
• Logging for error tracking
• Using debuggers like pdb and IDE tools

Module 9: Working with Libraries and Virtual Environments

• Introduction to Python package management with pip
• Installing and managing third-party libraries
• Creating and managing virtual environments
• Working with popular Python libraries (requests, NumPy, Pandas, etc.)

Module 10: Introduction to Web Development with Python

• Overview of web development frameworks (Flask, Django)
• Building a simple web application with Flask
• Setting up routes, views, and templates
• Handling form data and user input
• Introduction to APIs and web scraping with Python

Module 11: Automating Tasks with Python

• Using Python for task automation (scheduling, file management)
• Automating repetitive tasks with Python scripts
• Using Python libraries like os, shutil, and subprocess for system tasks
• Introduction to web automation using Selenium

Module 12: Working with Databases

• Introduction to database concepts (SQL vs. NoSQL)
• Using SQLite and PostgreSQL with Python
• CRUD operations with Python and SQLAlchemy
• Connecting Python applications to cloud databases

Module 13: Introduction to Data Science with Python

• Overview of data science tools (NumPy, Pandas, Matplotlib)
• Basic data manipulation with Pandas
• Data visualization with Matplotlib and Seaborn
• Simple statistical analysis and plotting

Module 14: Testing and Test-Driven Development (TDD)

• Writing unit tests with Python’s unittest module
• Test-driven development (TDD) principles and workflow
• Using pytest for advanced testing scenarios
• Mocking and testing external dependencies

Module 15: Capstone Project

• Apply learned skills to build a complete project from scratch
• Develop a web app, automation script, or data science project
• Implement OOP principles, error handling, and testing
• Present the project with documentation and a demo