In Mastering Python 3: Part-2 Iterators & Generators, you'll elevate your Python programming skills by mastering key concepts related to sequences, iterators, and generators. This course delves into advanced Python techniques, providing you with the tools needed to write efficient, clean, and scalable code. You’ll explore the following topics:

1. Sequence Types and the Sequence Protocol:
   Understand the different sequence types in Python and how they adhere to the sequence protocol, enabling consistent behavior across various data types.

2. Iterables and the Iterable Protocol:
   Learn about the iterable protocol and how Python objects implement it to allow iteration over elements in a standardized way.

3. Iterators and the Iterator Protocol:
   Dive deep into iterators, exploring how they work, the iterator protocol, and how to create custom iterators to control data flow in your programs.

4. List Comprehensions and Closures:
   Explore the power of list comprehensions, how they are related to closures, and how to use them for concise and efficient code.

5. Generator Functions:
   Master generator functions, which allow you to yield values one at a time, providing a memory-efficient way to handle large data streams.

6. Generator Expressions:
   Learn to write generator expressions, a compact syntax for creating generators, which are more efficient than list comprehensions when dealing with large datasets.

7. Context Managers:
   Understand the importance of context managers for managing resources such as files and network connections, ensuring they are properly acquired and released.

8. Creating Context Managers Using Generator Functions:
   Discover how to create your own context managers using generator functions, giving you greater control over resource management in your code.

9. Using Generators as Coroutines:
   Explore how to use generators as coroutines, enabling you to write asynchronous code in Python and manage concurrency with ease.