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
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