I created a python script that brings some data back from various APIs for accountIds list provided to it.

I’m trying to run multiple instances of a class concurrently in a single Python application, simulating the effect of having separate terminals running each class independently. My goal is to have each instance operate independently and not block each other. I’m using asyncio for concurrency.

I am rewriting an older server using Streams, and one of the problems I never manage to solve was the disconnection issue.
I have made this really simple server example:

I have been attempting to run 10 different looping tasks simultaneously with asyncio. All 10 tasks call “asyncio.create_task()” within their loops. I can’t use “asyncio.run()” on all of them because this functions blocks the thread its called on until the task is done. So I thought that I could simply circumvent this by calling a function with “asyncio.run()” and then inside that function call my 10 looping functions through “asyncio.create_task()”. The 10 looping functions are indeed called, but they themselves cannot use “asyncio.create_task()”. Any suggestions on how to fix this issue?

In the PyCon 2015 talk, the following code was presented for a co-routine based Fibonacci server. future_monitor() was added to make the server working (otherwise it would stuck). But why is future_monitor() needed? why is future_done() callback is not enough?

I have created a program that contains two main async functions that I run with asyncio:

I need to convert a bunch of .xlsx files to pdf files. I use Linux mint and I wrote script that do the job correctly if processing is done sequentially. However this takes a lot of time and I would like to speed up the things by running concurrently. The idea is to split a list of files needed to be converted in half and do these concurrently and independently. This should work since files are independent from each other.
I tried to use asyncio for this purpose and asked ChatGPT for help, but I cannot solve the problem, because randomly about 10 files (number varies) out of 100
just fail to convert to pdf.
I need y our help to understand what is going on.
The original script used the following approach and it works slow, but correct:

Got a question about reading and writing data from a child process using named pipes.

Why is a task created with asyncio.create_task() in the below not garbage collected?

This is a followup question to /a/62529343/3358488