Dependency Inversion Principle Explained with Real Examples in Python | Low Level Design - Lesson 8

DIP is the last of the 5 SOLID Principles and probably the most misunderstood. It says that high-level modules should NOT depend on low-level modules, both should depend on abstractions. Confused? Don't worry, by the end of this video it will click. In this video, I show you why tightly coupled code is a nightmare, how DIP solves it, and walk you through clean before/after Python examples. 🔥 What you'll learn: ✅ What is Dependency Inversion Principle ✅ Difference between Dependency Inversion and Dependency Injection ✅ Why tightly coupled code breaks when you scale ✅ Before and After Python code examples ✅ How DIP ties all 5 SOLID principles together 👉 LLD Playlist:    • Low Level System Design in Python   👉 Enroll in this Course: https://codeanddebug.in/course/low-le... Timestamps: 0:08 Introduction to Dependency Inversion Principle (DIP) 0:28 Understanding High-Level, Low-Level & Abstraction 0:43 Bad Example – Tightly Coupled Notification Service 2:35 Bad Example – Code Walkthrough 6:08 Problems with Tightly Coupled Code 7:34 Good Example – Implementing DIP with Abstraction 9:07 Good Example – Notification Channel Interface 9:48 Good Example – Refactored Low-Level Services 11:03 Good Example – Refactored High-Level Service 12:38 Good Example – Running the Code 13:47 Benefits of DIP 14:21 Conclusion & Next Steps #UML #ClassDiagram #LowLevelDesign #LLD #SystemDesign #Placements #CodeAndDebug