Asyncio in Python - Full Tutorial

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Asynchronous programming allows our code to be more efficient by doing multiple things at once without any unnecessary waiting. Asyncio is your choice for running multiple tasks concurrently such as network requests or reading files, without using much CPU power.

🎞 Video Resources 🎞

⏳ Timestamps ⏳
00:00 | What is Asyncio?
00:48 | When to use Async IO?
02:04 | #1 - The Event Loop
02:47 | #2 - Coroutines
09:52 | #3 - Tasks
16:50 | #4 - Futures
18:23 | #5 - Synchronization

Hashtags
#techwithtim
#asynchronousprogramming
#python
#pythonprogramming
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Great work on the visual and graphics here, you have stepped your game up from you early Python/Youtube days. Glad to be a part of the journey.

garrettsmith
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Honestly the short animation what the difference between a thread, process and async task is was the most helpfull thing i've seen since i started hobby programming! Thanks, gonna try read some sensors async now^^

MrTaddelie
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this is an outstanding video, it might just be the single best explanation of asyncio on the internet! well done tim

night
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Thanks for the upload Tim. This was a concise and well rounded explanation of asynio usage in Python. Exactly what I was looking for

soumodas
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Hi Tim, thanks for this tutorial! Clear and on point with good examples!

hyozlkk
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Great tutorial ! I've been struggling with this subject for some time, but this videos has made things much more clear to me. Thank you sir.

surfzion
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Really I've heard couple of asyncio tutorials but I have to say, this is the best. Thanks a lot

haimroizman
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Thanks tim. Glad to have followed you from way back. Great video

joshuaarinaitwe
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Great tutorial, simple, concise, clear. I like it.

nicolaspillot
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Nice explanation! I use semaphores for co-current web request to a client that has some throttling. I like how you explained it and the others which i didn't know about.

oj
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Great tutorial! Great depth while still being very accessible. Keep up the great work! Perhaps worth a mention for our Spyder brethren and sistren... the iPython console runs its own loop which can interfere with the asyncio code. If the iPython console throws errors when running asyncio code, (but the code runs just fine in terminal), the nest_asyncio package can be imported to improve compatibility in the iPython console.

petegranneman
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Thaank you. I seen this syntax before and I tried to make my own async functions bu t failed. This explanation is amazing. Specially locks explanation. Really useful.

JorgeEscobarMX
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it's difficult to me to comprehend that an async function is actually synchronous, since "awaited'

pgrvloik
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Awesome Video and helpfulll for middle class learners..Great Contribution bro.

rajeshseemakurthi
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@TechWithTim: Awesome tutorial. I used asyncio already in a couple of projects and never really understood the concept of coroutines. What I also came across is Rate Limiting. So it would be awesome if u could add Semaphores in a future video to have a usecase for async API Requests and Concurrency Limiting with Semaphores.

MrDerterminator
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Thank you Tim for the wonderful presentation of Asyncio.
I'd like for a full python course which for an intermediate level to advanced like diving into machine learning, computer vision(OpenCV or YOLO) and other data science

Anyways Great content, appreciate it

GRSG_tech
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Pretty cool. It would be nice if it also covered some more knowledge on how to mix def and async def functions in bigger projects.

nraw_
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Hey tim, have u ever did something with Microsoft Graph?

tarzanat
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Hey Tim, just need a clarification on the usage of threads. Do they really work in 'parallel', especially in python? Cause I often here that GIL prevents threads from running threads in parallel, but they are efficient given the fact that a thread waiting for I/O tasks can be suspended and allow other thread to run.

satyabharadwaj
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How well does asyncio play with Qt's (PySide) event system? Do they interfere with each other? I'm writing a chat client that uses PySide6 for its UI in order to learn python better and am having a hard time deciding how to handle network I/O with asynchronous socket reads and Qt's signal/slot event system. I know that Qt has it's own networking classes like QTCPSocket but I'm specifically trying to avoid using them in order to learn Python's own native async mechanism. Any advise would be appreciated.

artemiasalina