This concept covers the Python data model and dunder ("magic") methods — special double-underscore methods that define the standard protocol objects follow to interoperate with built-in operators and functions (e.g., construction, representation, length, item access, iteration, equality, arithmetic, context management). It belongs to the domain of Python language design and object-oriented programming principles, illustrating how dunder methods let user-defined classes participate in this uniform interface so that "everything is an object" while retaining flexibility. The theory extends beyond mechanics into software design judgment: when to leverage the data model's hooks versus when doing so undermines simplicity, readability, predictability, or performance.
This concept covers the Python data model and dunder ("magic") methods — special double-underscore methods that define the standard protocol objects follow to interoperate with built-in operators and…