How to write a REST API in Python (FastAPI briefly)?

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Creating a modern REST API in the Python programming language using the FastAPI framework is a fast and standardized process thanks to built-in support for type hints and automatic data validation.

The core of the framework is based on standard Python type hints and the Pydantic library, which are responsible for automatic input data verification and on-the-fly type conversion without writing cumbersome boilerplate.

To create a fully functional web application, you will need to go through several standard steps.

1. Install the required dependencies, such as the fastapi framework itself and the uvicorn ASGI server, via the pip package manager.

2. Import the FastAPI class from the fastapi module and create an application instance to handle incoming requests.

3. Describe the data structure using subclasses of the BaseModel class from Pydantic to clearly define fields and data types for request and response bodies.

4. Define endpoints using routing decorators, such as @app.get for retrieving data or @app.post for creating new resources.

5. Run the developed application using the command uvicorn filename:app --reload, where the auto-reload flag is convenient for local development.

One of the main advantages of this approach is the fully automatic generation of interactive API documentation in Swagger UI and ReDoc formats, which is available without additional configuration at the standard /docs and /redoc addresses.

How to write a REST API in Python (FastAPI briefly)?

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