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app.add_middleware( CORSMiddleware, allow_origins=["http://localhost:3000"], # React/Vue dev server allow_credentials=True, allow_methods=[" "], allow_headers=[" "], )
class ItemBase(BaseModel): name: str price: float
gunicorn main:app -w 4 -k uvicorn.workers.UvicornWorker --bind 0.0.0.0:8000
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def create_access_token(data: dict): to_encode = data.copy() expire = datetime.utcnow() + timedelta(minutes=30) to_encode.update("exp": expire) return jwt.encode(to_encode, SECRET_KEY, algorithm=ALGORITHM)
FastAPI bridges the gap between high performance and ease of development. By leveraging Python type hints, it provides a superior developer experience with automatic validation and documentation.
Accelerate Your Python Backend: A Complete FastAPI Guide If you are looking for a modern, high-performance way to build APIs with Python,
: Based on open standards like OpenAPI and JSON Schema . 2. Setting Up Your Environment This public link is valid for 7 days
If the above feels too technical, use a browser extension:
To save this guide, you can print this page to a PDF or copy the content into a document editor and save it as a "FastAPI tutorial PDF".
The --reload flag enables auto-reload, so the server will automatically restart whenever you make changes to your code. You should see output indicating the server is running at http://127.0.0.1:8000 .
: It generates interactive API documentation (Swagger UI and ReDoc) instantly. Can’t copy the link right now
A high-quality FastAPI PDF tutorial should cover the following curriculum to be considered comprehensive:
from fastapi import Query, Path
is currently the industry standard. It is widely recognized for being as fast as Node.js or Go, thanks to its asynchronous nature and the power of for data validation.