Metaclasses and Class Customization: The Class Factory

Learning Objectives: After this lesson, you'll understand the difference between __new__ and __init__, build metaclasses for class-level customization, use ABC for abstract classes, and master __init_subclass__ for simpler class configuration.

Python's Object Model

Before diving into metaclasses, let's visualize Python's fundamental type hierarchy:

Key insight: Classes are objects too! They're instances of type (or a custom metaclass).

Understanding Object Creation

Before metaclasses, let's understand how Python creates objects.

__new__ vs __init__

Controlling Instance Creation with __new__

__new__ for Factory Patterns

Metaclasses: Classes of Classes

A metaclass is the class of a class. Just as objects are instances of classes, classes are instances of metaclasses.

The type() Function

Building a Metaclass

Practical Metaclass: Auto-Registration

Metaclass: Attribute Validation

Abstract Base Classes (ABC)

ABCs provide a way to define interfaces and ensure subclasses implement required methods.

Abstract Properties

__init_subclass__: Modern Class Customization

Python 3.6+ provides __init_subclass__ as a simpler alternative to metaclasses.

Basic init_subclass

Validation with init_subclass

Combining init_subclass with Decorators

Class Decorators vs Metaclasses

Practice Exercises

Exercise 1: Enum-like Metaclass

Exercise 2: Field Descriptor with Metaclass

Key Takeaways

When to Use Each Approach

Next Steps

In the next lesson, we'll explore Threading and the GIL—understand concurrent Python, the Global Interpreter Lock, synchronization primitives, and when threading helps vs. hurts.

Ready for concurrent Python? Threading awaits!