Building Iterable Linked Lists in Python

When building custom data structures in Python, like a linked list, you often want them to behave like native sequences. Without implementing the proper protocols, you cannot loop over your custom lists or pass them to standard built-in functions. This text-only course teaches you how to bridge that gap by implementing Python's iterator protocol. You will transform a basic custom linked list into a fully iterable collection that integrates naturally with Python's ecosystem. What you'll learn: - Understand the fundamental concepts of iterators, iterables, and Python's protocol-based design. - Implement the special double-underscore methods __iter__ and __next__ correctly. - Apply modern Python type hints to custom iterator classes for cleaner, safer code. - Create a clean separation of concerns by isolating iteration state from the underlying data structure. - Practice writing robust logic to handle edge cases when traversing custom nodes. You will start with foundational definitions of custom data structures and the iterator protocol, then read through step-by-step code implementations and complete written exercises to solidify your understanding. This course is designed for beginner to intermediate Python developers who want to deepen their understanding of object-oriented programming. Start reading today to make your custom Python objects more powerful and idiomatic.