[0:00] async await oh no is this going
[0:03] somewhere off of python well it's not we
[0:06] can use async AWA in Python too let's
[0:08] see how consider this function the task
[0:12] is an asynchronous function because it's
[0:14] marked with the async keyword in Python
[0:17] when we Mark a function with the async
[0:19] it becomes a
[0:20] coroutine coroutines can be paused and
[0:23] resumed allowing other tasks to run in
[0:25] the meantime to use Ayn we in Python we
[0:29] need to use the async IO
[0:31] Library so what's the need to write
[0:34] asynchronous functions in Python by
[0:36] using async in a wait we can write
[0:39] non-blocking code that performs tasks
[0:41] concurrently resulting in faster and
[0:43] more responsive programs here we have
[0:46] two scenarios on the left we have a
[0:48] synchronous function and on the right we
[0:51] have an asynchronous function both
[0:53] functions do the same thing and we are
[0:55] checking who's going to take less time
[0:57] to complete over 10 laps here's the
[1:00] output and it clearly shows that the
[1:01] asynchronous function won by a big
[1:03] margin that was fast asynchronous
[1:06] functions don't wait for one task to
[1:08] complete they go all in executing tasks
[1:11] concurrently let's see another one here
[1:13] we have two functions load underscore
[1:16] data and task the load underscore data
[1:19] function simulates loading heavy data
[1:21] while the task function simulates a
[1:23] normal task the main function executes
[1:26] both functions in sequence concurrently
[1:28] upon running the code this output is
[1:30] generated this shows that while the
[1:32] program begins loading the data another
[1:34] task gets executed in the meantime and
[1:36] the program exits once the data is
[1:38] completely loaded to recap async and
[1:41] await are essential tools for
[1:43] asynchronous programming in Python by
[1:46] marking functions as async and using the
[1:48] await keyword we can write non-blocking
[1:50] code that performs tasks concurrently
[1:53] resulting in faster and more responsive
[1:55] programs thanks for watching don't
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