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

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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: Full FastAPI Course: Pydantic 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 #FastAPI
  2026/01/12      youtube

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