How FastAPI Handles Requests Behind the Scenes
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- čas přidán 29. 03. 2024
- Unleash the power of FastAPI! Discover how Asyncio and blocking I/O impact performance. Learn to handle requests concurrently for a blazing-fast API! In this video, we explore FastAPI's handling of concurrent requests. We'll compare Asyncio vs Blocking methods and see how normal functions differ. Understand when to use each approach for optimal performance. Optimize your FastAPI application and handle more requests efficiently. Subscribe for more FastAPI deep dives!
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#FastAPI #Asyncio #Python #WebDevelopment
Great content brother
Great video, but I think it’s important to mention that multi-threading in Python is not parallel
Thanks for clearing this concept.
OMG! This is so helpful and a great video. Thank you and please post more videos like this!
Thank you for this, I always wondered the difference between async def and def
Beautifully explained!
Nice explanation. Concise and to the point.
Clearly explained!! Thank you
very well explanation.
Great video. Thanks
Great explanation, you should create more videos bro...
great video
Thanks man for the video. I am trying to use fast api for db CRUD, which one do you think i should use for get post put and delete?
My question would be how FastAPI then manages workload when it´s handed over to the worker thread. Because I can only see one worker thread running, at the same time it handles 40 'workloads' concurrently.
I need some help, I want to create a fast api endpoint that calls a synchronous function that has a lot of blocking I/0 operations. But I want the endpoint function to run asynchronously so it can accept many requests at the same time. How should I do this, is there an alternative approach?
❤
def endpoint3() is not running parallely for me as supposed to what u said in the video. Instead it is sunning one at a time. Do u know why?
boooozi txeq
can you make fastapi how run under the hood and how @app.exception_handler work Thanks awesome contentent