Python FastAPI Tutorial (Part 4): Pydantic Schemas - Request and Response Validation

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/Fast... Full FastAPI Course:    • FastAPI Tutorials   Pydantic Tutorial -    • Python Pydantic Tutorial: Complete Data Va...   ✅ Support My Channel Through Patreon:   / coreyms   ✅ Become a Channel Member:    / @coreyms   ✅ 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 -    / coreymschafer   Facebook -   / coreymschafer   Twitter -   / coreymschafer   Instagram -   / coreymschafer   #Python #FastAPI