Is Python Asynchronous asyncio parallelism?

Question

async def task():
    async def func():
            '''takes forever to run the calculation, not doing requests'''

            return something
    result = await func()

When loop meets await, it pause the function1, or not pause, i don’t know, and loop switch to another task - task2 function2.

Question: Does the function 1 running in background?

If YES, it is running with loop - parallelism -MUST ANSWER

If NO, means it is a lame one thread concurrency when 10000 tasks asking time to execute. So function 1 even “paused”, the loop manager will still goes back run it some times (do calculations), check if the calculation is done. Is that correct?

Answer 1

Question: Does the function 1 running in background?

Assuming that by "function 1" you mean task() in the example, which is the function awaiting func(), then no - it does not keep running in the background. You've told it to await the result from func().

If NO, means it is a lame one thread concurrency when 10000 tasks asking time to execute. So function 1 even “paused”, the loop manager will still goes back run it some times (do calculations), check if the calculation is done. Is that correct?

I'm not sure what you're asking here, what 10,000 tasks? How do you mean 'lame'? What 'loop manager' and go back to do what calculations? But as previously answered before you rewrote your question: no. There is just one thread here, no parallelism. You're using asynchronicity, not multi-processing.

You seem to not want to hear that answer, but no matter how you ask it, the answer will remain the same.

Look at multiprocessing for actual parallelism, but don't assume parallel execution is automatically faster. There's a lot of overhead involved in running work in parallel on a CPU and your code needs to be well-designed to make good use of it.