Master Python's Data Model: Make Your Objects Feel Native

Implement __repr__ for developer output and __str__ for user display, understanding the distinction.

Implement the iteration protocol (__iter__/__next__) correctly, avoiding the common mistake of returning self from __iter__.

Use `yield` to create concise and correct generator-based iterators as a simpler alternative to manual stateful classes.

Implement __getitem__ to support integer-based indexing on a custom container.

Extend __getitem__ to handle slice objects, enabling full slicing functionality.

Use the `@property` decorator to create managed attributes, replacing the need for Java-style getters and setters.

Implement a custom descriptor using __get__, __set__, and __delete__ for reusable attribute logic.