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How async/await works in Python
Mark functions as async. Call them with await. All of a sudden, your program becomes asynchronous – it can do useful things while it waits for...
To understand how it works, one should be familiar with many non-trivial concepts including concurrency, parallelism, event loops, I/O multiplexing, asynchrony, cooperative multitasking and coroutines. You may drop long-living connections, require the clients to maintain some minimum throughput rate, let the threads return the tasks to the queue or combine any of the suggested methods. Calling next() second time resumes the generator from the point where it was suspended, runs it to the next yield expression and returns its argument:
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