Advanced Python Development Tutorials, Guides & Insights

class RegistryMeta(type):
    registry = {}

    def __new__(cls, name, bases, dct):
        new_class = super().__new__(cls, name, bases, dct)
        cls.registry[name] = new_class
        return new_class

class Base(metaclass=RegistryMeta):
    pass

class Derived1(Base):
    pass

class Derived2(Base):
    pass

print(RegistryMeta.registry)  # Output: {'Base': <class 'Base'>, 'Derived1': ..., 'Derived2': ...}

Dynamic class creation is useful when class structures depend on runtime information.

This is useful for composing complex generators.

Coroutines extend generators for asynchronous programming. With Python's async and await, coroutines have become integral to modern Python development.