Every section now teaches web development concepts alongside the code:
- HTTP methods, status codes, content negotiation explained
- What ASGI is and why it matters
- How cookies, sessions, CORS, and HSTS work
- When to use WebSockets vs SSE
- Why request validation matters
- How background tasks differ from task queues
- What rate limiting protects against
- What Host header injection is
- Separation of concerns in templating
People should learn about web development while reading these docs.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Define your API schemas with Pydantic models instead of (or alongside)
YAML docstrings and marshmallow:
from pydantic import BaseModel
class PetIn(BaseModel):
name: str
age: int = 0
class PetOut(BaseModel):
id: int
name: str
age: int
@api.route("/pets", methods=["POST"],
request_model=PetIn, response_model=PetOut)
async def create_pet(req, resp):
data = await req.media()
resp.media = {"id": 1, **data}
Also works with @api.schema("Name") decorator for registering
standalone schema components.
Pydantic models, marshmallow schemas, and YAML docstrings can all
be used together in the same API.
Also: rewrite docs with more prose, restore sidebar logo and links,
add FastAPI acknowledgment, update homepage copy.
161 tests, 95% coverage.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
kennethreitz
Mike Schneider