Quiz: What key performance advantage does FastAPI offer compared to traditional synchronous Python frameworks?
FastAPI achieves high performance by leveraging ASGI (Starlette) and native async execution for non-blocking I/O.
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FastAPI achieves high performance by leveraging ASGI (Starlette) and native async execution for non-blocking I/O.
Blueprints allow developers to break large Flask applications into isolated sub-modules registered on the main app instance.
Flask uses Jinja2 as its default templating engine, supporting template inheritance, macros, and expression evaluation.
… between production web servers and Python application frameworks.
Flask relies on Werkzeug for WSGI request/response handling, routing lookup, and security utility functions.
As an ASGI framework, FastAPI requires an ASGI server like Uvicorn or Hypercorn to process asynchronous request loops.
FastAPI is built directly on top of Starlette for web routing and Pydantic for data schemas.