By default, Python instances store attributes in a dynamic dictionary ( __dict__ ). This allows flexibility but consumes substantial memory. Declaring __slots__ bypasses __dict__ , allocating a fixed amount of space for specified attributes.
Which specific (e.g., performance, API architecture, code maintenance) are you trying to solve right now? python 3 deep dive part 4 oop high quality
Decouples object creation from object behavior, facilitating isolated unit testing and component swapping. By default, Python instances store attributes in a
Special methods, surrounded by double underscores ( __ ), allow your custom objects to hook into Python's core language features. Which specific (e
from typing import Protocol class Renderable(Protocol): def render(self) -> str: ... # Zero explicit inheritance required class UIWidget: def render(self) -> str: return " Widget " def draw_component(component: Renderable): print(component.render()) # MyPy passes this seamlessly because UIWidget implicitly satisfies Renderable draw_component(UIWidget()) Use code with caution.
from abc import ABC, abstractmethod
By utilizing __set_name__ (introduced in Python 3.6), the descriptor automatically discovers its variable name ( stock or price ), eliminating the old requirement of manually passing strings into the constructor. 3. Metaclasses: Controlling Class Construction