But this is not your average "classes and objects" tutorial. This is a into Python’s OOP internals. We’ll move beyond syntax and explore how Python truly implements encapsulation, inheritance, polymorphism, and composition. We’ll tackle method resolution order (MRO), descriptors, properties, slots, and metaclasses.
class Animal: def move(self): pass class Bird(Animal): def fly(self): pass class Penguin(Bird): # Penguins can't fly! Violates LSP pass : python 3 deep dive part 4 oop high quality
Welcome back to the Python 3 Deep Dive series. In previous parts, we explored iterators, generators, context managers, and function mastery. Now, we arrive at the heart of Python’s identity: Object-Oriented Programming (OOP) . But this is not your average "classes and objects" tutorial
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class Singleton: _instance = None def __new__(cls, *args, **kwargs): if cls._instance is None: cls._instance = super().__new__(cls) return cls._instance s1 = Singleton() s2 = Singleton() print(s1 is s2) # True In previous parts
class Circle: def __init__(self, radius): self.radius = radius # Uses setter if defined @property def radius(self): return self._radius