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Python OOPs Part2
#PythonOOP #ClassVariables #AIEngineer
🔗 Join the WhatsApp Community
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This is to bring together serious and like-minded learners who want to learn AI, share useful resources, discuss ideas, and grow together. Anyone who is genuinely interested can join. If you see a “limit reached” message while joining, please wait for some time and try again later.
📚 Free Resources
• Free AI Engineer Roadmap 2026: https://ch-balaji.github.io/ai-engineer-roadmap/
• Agentic AI Playlist: https://youtube.com/playlist?list=PL8qeqP57-QAa048dYOZSvGwdAGqEMFMkc&si=kG9Xvk6tfAoEbkd4
• Roadmap Video: https://youtu.be/Eze6D8jAMjI
🌐 Connect with me
• LinkedIn: https://www.linkedin.com/in/balaji-chippada-0317/
• Instagram: https://www.instagram.com/balajichippada
Python class variables are where most beginners and even working developers silently break their OOP code — and in this Part 2 of Python OOP for Agentic AI engineers, we fix that for good. You’ll see a real team-collaboration bug that no error message catches, lock your class down with __slots__, and then unpack class variables vs instance variables with a hands-on Employee example: shared raise percentages, employee counters, and the exact rules Python uses to look up an attribute. By the end you’ll know when to use self, when to use the class name, and why this matters the moment you start building Agentic AI systems where every wrong attribute becomes a production incident.
⏱ Timestamps
00:00 The silent bug in your OOP code
01:30 A mistake every team makes with self
04:00 Lock your class with __slots__
06:35 Why hardcoded values break production
07:30 What a class variable really is
09:00 Instance vs class — Python’s lookup order
13:30 Overriding class variables per instance
15:30 The employee counter pattern
21:00 Coming up — class inheritance
Видео Python OOPs Part2 канала Balaji Chippada
🔗 Join the WhatsApp Community
https://chat.whatsapp.com/KbBr6JNlToy4e5M34MrOsY?mode=gi_t
This is to bring together serious and like-minded learners who want to learn AI, share useful resources, discuss ideas, and grow together. Anyone who is genuinely interested can join. If you see a “limit reached” message while joining, please wait for some time and try again later.
📚 Free Resources
• Free AI Engineer Roadmap 2026: https://ch-balaji.github.io/ai-engineer-roadmap/
• Agentic AI Playlist: https://youtube.com/playlist?list=PL8qeqP57-QAa048dYOZSvGwdAGqEMFMkc&si=kG9Xvk6tfAoEbkd4
• Roadmap Video: https://youtu.be/Eze6D8jAMjI
🌐 Connect with me
• LinkedIn: https://www.linkedin.com/in/balaji-chippada-0317/
• Instagram: https://www.instagram.com/balajichippada
Python class variables are where most beginners and even working developers silently break their OOP code — and in this Part 2 of Python OOP for Agentic AI engineers, we fix that for good. You’ll see a real team-collaboration bug that no error message catches, lock your class down with __slots__, and then unpack class variables vs instance variables with a hands-on Employee example: shared raise percentages, employee counters, and the exact rules Python uses to look up an attribute. By the end you’ll know when to use self, when to use the class name, and why this matters the moment you start building Agentic AI systems where every wrong attribute becomes a production incident.
⏱ Timestamps
00:00 The silent bug in your OOP code
01:30 A mistake every team makes with self
04:00 Lock your class with __slots__
06:35 Why hardcoded values break production
07:30 What a class variable really is
09:00 Instance vs class — Python’s lookup order
13:30 Overriding class variables per instance
15:30 The employee counter pattern
21:00 Coming up — class inheritance
Видео Python OOPs Part2 канала Balaji Chippada
Python class variables Python OOP class variables class variables vs instance variables Python __slots__ Python OOP for AI engineers Python OOP part 2 OOP in Python object oriented programming Python Python classes and objects Python self vs class Python OOP tutorial 2026 Agentic AI Python AI engineer Python skills Python for AI agents AI Engineer Roadmap 2026 Roadmap 2026 Balaji Chippada AI engineer roadmap AI Machine Learning Generative AI LLM
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13 мая 2026 г. 18:30:06
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