I’m new in parallel programming currently needs to run app as a background process which contains several tasks inside. Currently executing only do_something(), it blocks execution of do_something2(). Could please anyone explain me how to implement that? Should I use asyncio or something else? Thank you. Answer I think, however, you need to organize your code as follows so that
Tag: multiprocessing
Unable to use dynamic classes with concurrent.futures.ProcessPoolExecutor
In the code below, I am dynamically creating an object of the class inside the _py attribute by using the generate_object method. The code works perfectly if I am not using a concurrent approach. However, if I use concurrency from concurrent.futures, I do not get the desired result because of an error saying (beyond other things): After googling this error,
python multiprocessing – child process blocking parent process
I am trying to learn multiprocessing, and created an example, however it’s behaving unexpectedly. the parent process run, then create a child process, but resources doesnt go back to parent until child is done. code: result “inside child process” (wait for 5 sec) “inside child process” “printing fillers” “printing fillers” […] If I remove ‘p.join()’ then it will work. But
Calculating a for loop with different indexes simultaneosuly
I have the following for function: This for loop takes a long time to calculate the values for the data frame as it has to loop 50 times for each row (it takes approximately 62 seconds) I tried to use multiprocessor pool from this question. My code looks like this now: I run the function asynchronously with different values for
my Python multiprocesses are apparently not independent
I have a very specific problem with python parallelisation let’s see if I can explain it, I want to execute a function foo() using the multiprocessing library for parallelisation. The foo() function is a recursive function who explores a tree in depth until one specific event happens. Depending on how it expands through the tree, this event can occur in
Multiprocessing issue on Windows 10
I am trying to collect the size of homepages of a list of sites using multiprocessing. Following is the code : I am having a Windows 10 laptop with Python 3.9 running. I am not using venv. This code goes into a loop – executes 4 times and takes 4 times longer. What is the error here ? Can someone
Is there a way to make a class add multiprocessing shared values?
I have created a class where all the functions work and can be put into different processes and edited. All of the functions work except the add value function. This is my class: Which can then be used correctly with these lines of code in the main function: When I go to use the addValue function in my code, the
Python Multiprocessing Logging via QueueHandler
I have a Python multiprocessing application to which I would like to add some logging functionality. The Python logging cookbook recommends using a Queue. Every process will put log records into it via the QueueHandler and a Listener Process will handle the records via a predefined Handler. Here is the example provided by the Python logging cookbook: My question: The
Sharing a postgres connection pool between python multiproccess
I am trying to use psycopg2’s connection pool with python’s multiprocess library. Currently, attempting to share the connection pool amongst threads in the manner described above causes: The following code should reproduce the error, which the caveat that the reader has to set up a simple postgres database. What I have already tried: Having each process open and close its
How to multiprocess multiple plots in a single PyQt GUI instance
I have a plot object called CrosshairPlotWidget. Each plot object spawns a thread which updates its data but these threads are still within the same main GUI process. Here’s what I currently have and an illustration: 1 main GUI process with 2 threads I want to run the two plots each in a separate process, but both within the same