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Part 4 of our FastAPI Tutorial series and learn exactly how to optimize your API request payloads! Have you encountered situations where incoming requests contain far more data than your Pydantic `BaseModel` requires? This common issue leads to unnecessary data transfer and potential inefficiencies in your API. In this video, we directly address this problem. You'll learn: The challenge of handling oversized request payloads with standard Pydantic `BaseModel`. How to leverage FastAPI's powerful `Body` function for granular control over expected fields. A clear comparison: Pydantic `BaseModel` vs FastAPI `Body` for defining request data. How to implement a hybrid approach, combining `BaseModel` and `Body` for strategic and optimized data handling, ensuring you only process what you need. By understanding the interplay between `BaseModel` and `Body`, you can build more efficient, robust, and optimized FastAPI applications. Stop wasting data and start handling payloads strategically! ➡️ Watch Part 3: • FastAPI Tutorial Part 3: Pydantic Bas... ➡️ Full FastAPI Playlist: • FastAPI Tutorial 🔔 Subscribe for more Python & FastAPI tutorials! Like this video if it helped you! #FastAPI #Python #Pydantic #WebDevelopment #API #Backend #ProgrammingTutorial #Optimize #FastAPITutorial #BaseModel #FastAPIBody #fastapi tutorial python #fastapitutorial #pythonframework #fastapi #explained