Building Custom Data Structures Using Abstract Collections

Python’s abstract base classes (ABCs) in the collections.abc module provide a powerful way to create objects that behave like built-in data structures such as dictionaries, lists, and sets. In this talk, we’ll explore how these abstract collections work, why they’re useful, and how they enable seamless integration into Python’s ecosystem. Additionally, we will explain the Mixin design pattern and provide concrete examples of implementing an abstract collection. This session is perfect for attendees looking to learn more about Python's design philosophy and make their code more Pythonic.