This 4-day advanced Python programming course is tailored for experienced Python developers seeking to enhance their expertise in advanced concepts such as iterators, generators, decorators, advanced object-oriented programming (OOP), metaprogramming, concurrency, and asynchronous programming. Participants will explore the depths of Python's capabilities, learning to write more efficient, scalable, and robust code. Through hands-on exercises and a capstone project, attendees will apply these advanced concepts to real-world scenarios, preparing them to tackle complex programming challenges in their professional endeavours.

1. Utilize advanced functions, including lambda functions, map, filter, and reduce.
2. Create and manipulate iterators and generators for efficient data processing.
3. Implement decorators to enhance and modify function behavior.
4. Write custom context managers for effective resource management.
5. Apply advanced OOP concepts such as abstract base classes, multiple inheritance, and mixins.
6. Understand and use meta classes for dynamic class creation and metaprogramming.
7. Manage attributes with descriptors and properties.
8. Employ concurrency and parallelism using the threading and multiprocessing modules.
9. Master asynchronous programming with asyncio, async, and await for non-blocking I/O operations.

Complete a real-world project that demonstrates the application of advanced Python concepts