FastAPI uses Pydantic for request validation, which allows you to define data models using Python classes. When a request is received, FastAPI automatically validates the data against the defined model and raises errors if the data does not conform.
Can you explain how FastAPI handles request validation and what tools it provides to achieve this?
FastAPI uses Pydantic for request validation, which allows you to define data models using Python classes. When a request is received, FastAPI automatically validates the data against the defined model…
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Can you explain how FastAPI handles request validation and what tools it provides to achieve this?
COVER // CAN YOU EXPLAIN HOW FASTAPI HANDLES REQUEST VALIDATION AND WHAT TOOLS IT PROVIDES TO ACHIEVE THIS?
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