This blog dives deep into the lifecycle of asyncio tasks in Python, covering everything from task creation and scheduling to cancellation. It explores advanced features, timeouts and task management to help you write robust async backend applications

This in-depth guide explores advanced shared state management in Python's multiprocessing module. It dives into practical techniques like using Value, Array, Manager, and shared_memory for safe, efficient inter-process communication.

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