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This is not a tutorial. This is an architecture lesson. In Part II of our deep dive into the Python Data Model, we unlock the final three superpowers that separate senior developers from architects: attribute access control, collection emulation, and callable objects. This is one of the most advanced and powerful lessons in the entire Python curriculum. Watching this video is the easy part. To truly master these concepts, you MUST build with them. 👉 Register at https://aiedugenius.com to: ✅ Build the Dynamic Config Manager: A real-world project that uses _getattr_ and _getitem_ to create a flexible, Pythonic configuration system. ✅ Solve the Secure Profile & Mathematical Vector Challenges: Hands-on coding exercises to implement attribute hashing and custom sequence behavior. ✅ Test Your Knowledge: Interactive quizzes on _getattr_ vs. _getattribute__, __setattr_ recursion, and the collection protocol. This is where you stop just using Python and start designing with it. Are you ready to become an architect? 🎓 This is Lesson 4 of our 3-part Advanced Python Programming series: • Part 1: Internals & Advanced Language Concepts (CURRENTLY VIEWING ) • Part 2: High-Performance Python & Concurrency • Part 3: Architecture, Design Patterns & Production Completing this series is the final step in your journey from Beginner to Python Expert. Explore the full learning pathway at https://aiedugenius.com. #Python #AdvancedPython #PythonTutorial #DataModel #DunderMethods #SoftwareArchitecture