Our agenda covers everything from basic Python syntax to advanced testing-specific libraries:

1. Introduction (1 Hour)
   • Introduction to IDEs: VS Code, Jupyter
   • Introduction to Git: Basic commands, usage for Python code deployment
   • Overview of Python: History, setting up the environment, IDEs, package management
2. Python Basics (2 Hours)
   • Syntax and Data Types: Variables, strings, numbers, lists, tuples, dictionaries
   • Control Flow: Conditionals, loops, error handling
3. Functions and Modules (2 Hours)
   • Functions: Defining, parameters, return values
   • Modules: Importing, creating custom modules
4. Python Data Structures and File Handling (3 Hours)
   • Data Structures: Deep dive into lists, dictionaries, sets
   • File Handling: Reading/writing files, handling different formats (CSV, JSON)
5. Working with Databases (2 Hours)
   • Connecting to Databases: Using sqlite3, ORM frameworks like SQLAlchemy
   • Executing Queries: CRUD operations, handling transactions
6. Web Scraping Basics (3 Hours)
   • Requests and Beautiful Soup: Scraping data
   • Ethical Considerations: Legality and ethics of web scraping
7. Advanced Topics (3 Hours)
   • Object-Oriented Programming: Classes, objects, inheritance, polymorphism
   • Concurrency: Basics of threading and multiprocessing
8. Advanced Testing-Specific Python Libraries (3 Hours)
   • Unit Testing: unittest, pytest
   • Automation Testing: Using Selenium
   • API Testing: Using requests
9. Best Practices and Testing Strategies (1 Hour)
   • Code Quality: PEP 8 guidelines, writing clean, readable code
10. Practical Exercises (Offline)
    • Project: Develop a small application, package it using setup.py