In this video, we'll be learning all about AsyncIO in Python and how to write asynchronous code using the async/await syntax. We'll explore how AsyncIO works under the hood with visual animations, understand key concepts like coroutines, tasks, and the event loop, and see how to convert existing synchronous code to use AsyncIO effectively. We'll also cover how to use profiling to identify optimizations, when to choose between AsyncIO, threads, and multiprocessing, and work through a real-world example that demonstrates dramatic performance improvements. By the end of this video, you'll have a solid understanding of asynchronous programming in Python and know exactly when and how to use AsyncIO in your own projects. Let's get started... The code from this video can be found here: (Use the right-arrow on your keyboard to step through animations) Animations Repo - Animations - Code Examples Repo - UV Tutorial: Ruff Tutorial: ✅ Support My Channel Through Patreon: ✅ Become a Channel Member: ✅ One-Time Contribution Through PayPal: ✅ Cryptocurrency Donations: Bitcoin Wallet - 3MPH8oY2EAgbLVy7RBMinwcBntggi7qeG3 Ethereum Wallet - 0x151649418616068fB46C3598083817101d3bCD33 Litecoin Wallet - MPvEBY5fxGkmPQgocfJbxP6EmTo5UUXMot ✅ Corey's Public Amazon Wishlist ✅ Equipment I Use and Books I Recommend: ▶️ You Can Find Me On: My Website - My Second Channel - Facebook - Twitter - Instagram - #Python #AsyncIO