You can download a PDF version of this tutorial [here](insert link to PDF).
In this tutorial, we've built a simple API using FastAPI to demonstrate its capabilities. FastAPI provides a lot of features out of the box, including support for asynchronous programming, automatic API documentation, and strong typing.
# Create a list to store our items items = [ {"id": 1, "name": "Item 1", "description": "This is item 1"}, {"id": 2, "name": "Item 2", "description": "This is item 2"}, ]
To run the application, use the following command:
# Define a Pydantic model for our data class Item(BaseModel): id: int name: str description: str
from fastapi import FastAPI
@app.get("/") def read_root(): return {"message": "Welcome to FastAPI"} This code creates a basic FastAPI application with a single endpoint at / .