asyncio in Python - Async/Await

#async #asyncawait #asynchronousprogramming #python #pythonprogramming
In this video, we will talk about asynchronous programming in Python. Asynchronous (async/await) is often used in JavaScript, however support for asynchronous programming is being looked at to boost Python's performance. As a result, the asyncio package is included to enable the power of asynchronous programming in Python.
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[@nikolaoschairopoulos9005]

Must point out that is for IO wait occasions such as (request api, databases reads, text reads etc). Will not make your code faster in general but only on these IO occasions.
Nice work!

[@anshumaan1024]

1:10 these visualizations are helpful. Thank you

[@2MinutesPy]

Thanks for support

[@SantoKhan-mk3hp]

💓💓

[@2MinutesPy]

Thanks

[@rida_brahim]

Well you must tell people that if you use async await you will have to wait for data to be there before using it or you might get an error, jumping steps is good but you must only do this or at least be cautious about using the data after it's been fetched or calculated and not use it right away, example: fetching a database or sending a get request and expecting some data back to be accessed
Edit: great channel

[@MudZeePlayGamer]

I have been trying to learn python for a bit, even trying to make a python discord bot, ither tutorial explanations were confusing to me yet you explain this in a way that I can perfectly understand, I really hope this channel blows up in popularity

[@2MinutesPy]

Tysm...

[@neckbro]

Wait would be the different usage scenarios between async/await and concurrent.futures? Can both be used for login and running tasks in 50 network devices at the same time, without waiting for the tasks on the first device to finish and so on?

[@fdauti_ca]

ChatGPT thinks async/await is more efficient for network i/o tasks like querying many network devices, although both approaches would be way more faster than just not using any of them.