What are the best practices for using FastAPI?
An example of an AI chatbot conversation about best practices for FastAPI development.
What are the best practices for using FastAPI?
Some best practices include using Pydantic for data validation, organizing your code into routers, and leveraging dependency injection.
Can you explain why Pydantic is important?
Pydantic ensures data validation and serialization, making your API more robust and reducing runtime errors.
How should I structure my FastAPI project?
It's recommended to use a modular structure with separate directories for routers, models, and services to keep your code organized.
What about testing in FastAPI?
You can use pytest along with FastAPI's test client to write unit tests for your endpoints, ensuring your API behaves as expected.
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