def test_root(): response = client.get("/") assert response.status_code == 200 assert response.json() == "message": "Hello World"
Developed by Sebastián Ramírez, FastAPI is a modern framework built on standard Python type hints. Before diving into the resources, it's helpful to understand why it has become so popular:
: Fully compatible with OpenAPI and JSON Schema. 2. Setting Up Your Development Environment
: Used for data validation and settings management. fastapi tutorial pdf
FastAPI provides built-in tools for OAuth2 password hashing and JSON Web Tokens (JWT) to secure endpoints.
This is where FastAPI truly shines. Pydantic models do more than just define shape – they provide:
from pydantic import BaseModel, EmailStr class UserProfile(BaseModel): username: str email: str age: int is_premium: bool = False @app.post("/users/") def create_profile(user: UserProfile): # In a real app, save this data to a database return "status": "User created successfully", "data": user Use code with caution. def test_root(): response = client
from pydantic import BaseModel class Item(BaseModel): name: str price: float is_offer: bool = None Use code with caution.
from fastapi import FastAPI app = FastAPI() @app.get("/") def read_root(): return "message": "Welcome to the FastAPI Tutorial" @app.get("/items/item_id") def read_item(item_id: int, q: str = None): return "item_id": item_id, "query": q Use code with caution. Running the Server Start your development server with: uvicorn main:app --reload Use code with caution.
To get started, you need to set up a virtual environment and install FastAPI along with an ASGI server like Uvicorn to run your application. Step 1: Create a Virtual Environment Setting Up Your Development Environment : Used for
A powerful system for sharing logic like database connections or security checks.
: Configure Cross-Origin Resource Sharing (CORS) correctly to specify which frontend hosts can access your API.
A powerful system for managing dependencies, database connections, and authentication.
