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In this Python FastAPI tutorial, we'll be learning how to use Pydantic schemas to validate API requests and responses in FastAPI. We'll create a schemas file with request and response models, add field validations for things like minimum and maximum length, update our GET endpoints with response models, and create a POST endpoint to add new posts. Pydantic schemas define your API contract - what data goes in and what comes out - and FastAPI uses them for validation, serialization, and automatic documentation. Let's get started... The code from this video can be found here: https://github.com/CoreyMSchafer/FastAPI-04-Pydantic-Schemas Full FastAPI Course: https://www.youtube.com/playlist?list=PL-osiE80TeTsak-c-QsVeg0YYG_0TeyXI Pydantic Tutorial - https://youtu.be/M81pfi64eeM ✅ Support My Channel Through Patreon: https://www.patreon.com/coreyms ✅ Become a Channel Member: https://www.youtube.com/channel/UCCezIgC97PvUuR4_gbFUs5g/join ✅ One-Time Contribution Through PayPal: https://goo.gl/649HFY ✅ Cryptocurrency Donations: Bitcoin Wallet - 3MPH8oY2EAgbLVy7RBMinwcBntggi7qeG3 Ethereum Wallet - 0x151649418616068fB46C3598083817101d3bCD33 Litecoin Wallet - MPvEBY5fxGkmPQgocfJbxP6EmTo5UUXMot ✅ Corey's Public Amazon Wishlist http://a.co/inIyro1 ✅ Equipment I Use and Books I Recommend: https://www.amazon.com/shop/coreyschafer ▶️ You Can Find Me On: My Website - http://coreyms.com/ My Second Channel - https://www.youtube.com/c/coreymschafer Facebook - https://www.facebook.com/CoreyMSchafer Twitter - https://twitter.com/CoreyMSchafer Instagram - https://www.instagram.com/coreymschafer/ #Python #FastAPI