In this guide, we go beyond the basics of Python multithreading and dive into a backend scenario: designing a scalable log ingestion system. You’ll learn how to use threading, Queue, RLock, and Event to build thread-safe pipelines step by step.

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.