You can download a PDF version of this tutorial [here](insert link to PDF).
To run the application, use the following command:
# Define a Pydantic model for our data class Item(BaseModel): id: int name: str description: str fastapi tutorial 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"}, ] You can download a PDF version of this
# DELETE endpoint to delete an item @app.delete("/items/{item_id}") def delete_item(item_id: int): for item in items: if item["id"] == item_id: items.remove(item) return {"message": "Item deleted"} return {"error": "Item not found"} This code defines a few endpoints for creating, reading, updating, and deleting items.
@app.get("/") def read_root(): return {"message": "Welcome to FastAPI"} This code creates a basic FastAPI application with a single endpoint at / . # Create a list to store our items
Create a new file called main.py and add the following code: