Python typing.Self for Fluent Methods
Preserve the concrete subclass type when a method returns self or cls.
Classes, objects, inheritance, encapsulation, and polymorphism
Preserve the concrete subclass type when a method returns self or cls.
Choose between self, cls, and module helpers without turning classes into containers for unrelated utilities.
Define required operations with ABC and choose deliberately between nominal inheritance, Protocol, and composition.
Model objects with attrs validators and converters while keeping invariants explicit and constructors easy to test.
Remove repetitive data-class code and decide when immutability, slots, and post-initialization validation are useful.
Complete guide to Python __slots__: learn how to reduce memory usage, speed up object creation, and master this powerful optimization tool with practical examples.
Master Python super() function: inheritance, MRO, cooperative multiple inheritance, super() in __init__, and real-world examples.
Master metaclasses in Python: understand what they are, how type works, create custom metaclasses and apply metaprogramming patterns in your projects.
Master Python descriptors: understand the descriptor protocol, the difference between data and non-data descriptors, how property works under the hood, and how to build custom descriptors for validation and lazy loading.
Master the @property decorator in Python: learn how to create getters, setters, and deleters with practical examples and encapsulation best practices.