Python 3 Deep Dive Part 4 Oop High Quality ~upd~ ❲90% FULL❳

class Point: def __init__(self, x, y, color="red"): self.x = x self.y = y self.color = color

class lazy: def __init__(self, function): self.function = function self.name = function.__name__ def __get__(self, instance, owner): if instance is None: return self value = self.function(instance) instance.__dict__[self.name] = value # Replace descriptor with value return value

print(PluginMeta.plugins)

By default, Python instances store their attributes in a dynamic dictionary ( __dict__ ). While flexible, dictionaries consume significant memory due to their underlying hash table structure. When and How to Use __slots__

Descriptors are objects that define __get__ , __set__ , or __delete__ . They are the mechanism behind properties, methods, and static methods. They allow you to define how attributes are accessed. Metaclasses python 3 deep dive part 4 oop high quality

t = Temperature(25) t.fahrenheit = 100 # Sets celsius via setter print(t.celsius) # ~37.78

: Implementing custom error handling and using the enum module in an object-oriented way. Who Is This For? This is not a beginner-level course . It is designed for: class Point: def __init__(self, x, y, color="red"): self

Enforcing coding standards or registering classes automatically upon definition (e.g., a Plugin system).

class Car: pass

: Called only if the attribute was not found in the steps above. Descriptors: The Hidden Power

Python favors duck typing (“if it quacks like a duck…”), but sometimes you need formal interfaces. They are the mechanism behind properties, methods, and