There are a few intermediate Python features that I completely overlooked when I first started learning the language. They seemed complicated or unnecessary... until I finally tried them — and realized how much cleaner, faster, and more powerful they made my code. ☕ If you find this video helpful, you can buy me a coffee here: – thank you! In this video, I’ll walk you through 5 Python concepts I wish I knew sooner: ✅ Generators — handle large data efficiently with yield ✅ Decorators — add functionality to functions with zero duplication ✅ List Comprehensions — create powerful one-liner loops ✅ *args and **kwargs — write flexible, reusable functions ✅ Lambdas — create quick one-off functions on the fly These are intermediate Python concepts that every Python developer should know — especially if you want to write more Pythonic, maintainable code. Whether you’re learning Python for data science, web development, scripting, or software engineering — mastering these tools will level up your skills. ✨ I’ll also show real-world use cases and performance comparisons — so you’ll know exactly when and why to use each concept. 👉 Bonus: If you want to go deeper into generators and iterators, check out this great tutorial by Corey Schafer: If you find this helpful, please give it a thumbs up 👍 and consider subscribing — I’ve got plenty more Python tutorials and advanced Python tips coming your way. And let me know in the comments which concept surprised you the most — or what you'd like to see next! ⏱️ Timestamps 00:00 - Intro 00:19 - Generators (yield) 02:31 - Decorators (@) 04:13 - List Comprehensions 06:23 - *args and **kwargs 07:50 - Lambda Functions 08:50 - Outro 🐍 Happy coding! #Python #IntermediatePython #PythonTutorial #LearnPython #PythonTips