Advance Python

Categories: Technology
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About Course

Advanced Python focuses on writing efficient, scalable, and production-ready code using concepts like decorators, generators, multithreading, and asynchronous programming.
This course helps learners master performance optimization, API integration, and real-world application development with industry-level best practices.

What Will You Learn?

  • Here are **10 key learning outcomes** for an **Advanced Python** course:
  • 1. Master advanced OOP concepts including inheritance, polymorphism, and metaclasses.
  • 2. Write efficient code using generators, iterators, and comprehensions.
  • 3. Implement decorators and understand closures for clean, reusable logic.
  • 4. Work with multithreading and multiprocessing for performance optimization.
  • 5. Build asynchronous applications using `asyncio` and async/await.
  • 6. Handle large datasets efficiently with memory management techniques.
  • 7. Develop REST APIs using frameworks like FastAPI or Flask.
  • 8. Integrate databases (SQL & NoSQL) with Python applications.
  • 9. Write unit tests and apply test-driven development (TDD) practices.
  • 10. Structure scalable, production-ready applications following best coding standards.