Course Content

1. Advanced Python Concepts
Deep dive into Python internals, memory management, and execution model. Understand how Python handles objects and references.

2. Object-Oriented Programming (Advanced)
Master inheritance, multiple inheritance, method overriding, method resolution order (MRO), and design principles.

3. Decorators
Learn how decorators modify function behavior. Build custom decorators for logging, authentication, and validation.

4. Generators & Iterators
Understand lazy evaluation using generators. Improve memory efficiency in large-scale applications.

5. Lambda & Functional Programming
Work with lambda functions, map(), filter(), and reduce(). Apply functional programming techniques in Python.

6. Context Managers
Use with statements effectively. Create custom context managers for resource handling.

7. Exception Handling (Advanced)
Create custom exceptions and manage error handling strategies in large applications.

8. File Handling & Serialization
Work with JSON, CSV, Pickle, and other data formats. Understand data persistence techniques.

9. Multithreading & Multiprocessing
Learn concurrency concepts. Implement parallel execution using threading and multiprocessing modules.

10. Async Programming (Asyncio)
Understand asynchronous programming using async and await. Build non-blocking applications.

11. Database Integration
Connect Python with databases like MySQL and SQLite. Perform CRUD operations efficiently.

12. API Development (Basics)
Build REST APIs using Flask or FastAPI. Handle routing, requests, and responses.

13. Testing in Python
Write unit tests using unittest and pytest. Understand test-driven development basics.

14. Packaging & Virtual Environments
Manage dependencies using pip and virtual environments. Package Python projects properly.

15. Performance Optimization
Profile and optimize Python code. Improve speed and memory efficiency.

16. Project Deployment
Deploy Python applications on servers or cloud platforms. Understand hosting basics.