Python 3 Deep Dive Part 4 Oop High Quality -

Effective Python OOP requires shifting away from rigid struct-like definitions toward understanding the dynamic dictionary model and the descriptor protocol.

By mastering __dict__, MRO, and the descriptor protocol, you gain the ability to write code that is not only functional but deeply integrated into the Python ecosystem.

class PluginMeta(type):
    plugins = []
def __new__(cls, name, bases, dct):
    new_class = super().__new__(cls, name, bases, dct)
    if name != "Plugin":  # Don't register base class
        cls.plugins.append(new_class)
    return new_class

class Plugin(metaclass=PluginMeta):
pass python 3 deep dive part 4 oop high quality
class LoaderPlugin(Plugin):
def run(self): print("Loading")
class SavePlugin(Plugin):
def run(self): print("Saving") Effective Python OOP requires shifting away from rigid
print(PluginMeta.plugins)
Python computes MRO using the C3 linearization algorithm (no diamond problem). You can inspect MRO: By mastering __dict__ , MRO, and the descriptor
class X: pass
class Y: pass
class Z: pass
class A(X, Y): pass
class B(Y, Z): pass
class M(A, B, Z): pass
print(M.mro)