How FastAPI Handles Requests Behind the Scenes

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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[moneeshkumar]

Great content brother
Quick Modification: sync router is Concurrency not Parallelism. In python parallelism is achieved only by multiprocessing

[PriyankRupareliya]

This is very valuable content.
New job, starting to work on FastAPI. The whole python paradigm is new for me. This video helped clear one of the most critical concept for me. Thanks brother.

[vladhaidukkk-learning]

Great video, but I think it’s important to mention that multi-threading in Python is not parallel

[정하은-hs]

OMG! This is so helpful and a great video. Thank you and please post more videos like this!

[vikranttyagiRN]

Nice explanation. Concise and to the point.

[sanyk]

Great explanation, you should create more videos bro...

[AnaskiBaithak]

Thank you for this, I always wondered the difference between async def and def

[ArulMuruganAS]

its working as explained in unix but for some reason its a different behavior in windows

[rainbowrunner]

Hello, great video. I am super new to python. And started using very recently for backend where its being used along with FastAPI. Can you please tell me what are some concepts/ topics which I should be aware for developing efficient code.
For eg from this video, I learnt that which function runs concurrently and which doesn't. I had no idea tbh about this before.
If you could spare few minutes and share some stuff which I should know it would be great.

[sticksen]

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.

[lwangacaleb]

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?

[arjunc]

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?

[thanhlongle]

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?

[adityahpatel]

2 and 3 look the same. hello of each is printed first then bye from each. how is 2 and 3 different? its not explained crystal clearly

[udaym]

can you make fastapi how run under the hood and how @app.exception_handler work Thanks awesome contentent