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Python asyncio

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This short highlights the importance of the await keyword in async programming in python.
The major takeaway of this critical quiz is that: just like in any process, each instruction, even inside an async function, is run until completion. the only instructions not run until completion, are (surprisingly) the ones that are awaited.
In other words, the await keyword is what enables parallelization in an async process (parallelization may be the wrong word, the right word may be concurrency).
This is a critical idea to keep in mind when using libraries in an async program. There are some libraries, such as the beloved requests library, which actually are not awaitable, so they block whatever async process they are a part of and can ruin an async script.
#interview
The major takeaway of this critical quiz is that: just like in any process, each instruction, even inside an async function, is run until completion. the only instructions not run until completion, are (surprisingly) the ones that are awaited.
In other words, the await keyword is what enables parallelization in an async process (parallelization may be the wrong word, the right word may be concurrency).
This is a critical idea to keep in mind when using libraries in an async program. There are some libraries, such as the beloved requests library, which actually are not awaitable, so they block whatever async process they are a part of and can ruin an async script.
#interview
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