Junior — Middle
What libraries have you used when working with FastAPI?
sobes.tech AI
Answer from AI
When working with FastAPI, the following libraries are often used:
- Pydantic — for data validation and serialization, describing request and response models.
- Uvicorn — an ASGI server for running FastAPI applications.
- SQLAlchemy — an ORM for working with databases.
- Databases — an asynchronous layer for database operations.
- HTTPX — an asynchronous HTTP client for testing and calling external APIs.
- Alembic — for database migrations.
- pytest and pytest-asyncio — for writing tests.
Example of using Pydantic with FastAPI:
from fastapi import FastAPI
from pydantic import BaseModel
app = FastAPI()
class Item(BaseModel):
name: str
price: float
@app.post("/items/")
async def create_item(item: Item):
return item