Learn how to combine Python's abstract classes with Factory and Strategy design patterns to build flexible, scalable, and testable backend systems.

This in-depth guide demystifies the differences between instance, class, and static methods in Python. Through backend-focused examples, you'll learn when and why to use each method type from object behaviors to factory patterns and utility functions

Learn how to use encapsulation with Domain-Driven Design in Python to protect business logic and build clean, maintainable backend systems.

Discover why composition often outshines inheritance in large-scale Python systems. This post breaks down the pitfalls of deep inheritance trees and shows how composition leads to more flexible, testable, and maintainable backend code.

This blog dives deep into the differences between Python’s dataclass, Pydantic, TypedDict, and NamedTuple explaining when and why to use each in backend systems. You'll learn how to choose the right tool for data validation and performance.