I have tried to use subprocess.check_output() for getting the ps aux command using python but it looks like not working with the large grep string. Can anyone have any solution? Answer Yes, I have found the solution to achieve the output, We can use the following code snippet to find the PID as output. Instead of using ps aux we
Tag: process
Python Process Pool with custom Process not able to respawn child processes
I have overridden multiprocess.Process (fork of multiprocessing library) like so: When I create normal Process using this class everything works perfectly, including creating logs. Now I want to create a Process Pool of such customized processes but I encountered problem with respawning such processes after they life comes to an end. Here is how I create pool with additional maxtasksperchild=1
How to close all the processes one by one in a program that operates with multiprocessing by means of an ‘if’ validation found in one of them process?
I need that when the variable text is equal to “Close your program” the 3 active processes(p1,p2,p3) are closed. I have tried to do something like this: But it is not working for me, and I would need a better code that allows me to close them one by one in that code block if text is equal to “Close
FiPy: How to find node (vertex) at interface between two mesh
I’ve defined two meshes in FiPy via Gmsh and would like to find the nodes at the interface between the two mesh. Is there a way to do this in FiPy? I’d like to get all the nodes (or lines) at the interface between mesh m0 and m1. Answer FiPy has a function called nearest which gets the nearest values
How do you differentiate between the process and thread in python?
From what I understand, thread and process differs in that thread shares resources. I am not sure if this differs from one language to another, but how do you differentiate between thread and process in general or in Python? Are every independent functions different process? Would a class methods be threads as they share memory? would recursive functions be thread?
Is spliting my program into 8 separate processes the best approach (performance wise) when I have 8 logical cores in python?
Intro I have rewritten one of my previously sequential algorithms to work in a parallel fashion (we are talking about real parallelism, not concurrency or threads). I run a batch script that runs my “worker” python nodes and each will perform the same task but on a different offset (no data sharing between processes). If it helps visualize imagine a
NetCore 3.1: How to execute python.exe using Process on Azure?
I have a NetCore3.1 server app. On my local setup I can use Process to execute python to do some dataframe crunching that I have installed in a venv. On Azure, I can use site extensions to install a local copy of python and all my needed libs. (It’s located in D:/home/python364x86/). Now on my published Azure app, I want
Running functions siultaneoulsy in python
I am making a small program in which I need a few functions to check for something in the background. I used module threading and all those functions indeed run simultaneously and everything works perfectly until I start adding more functions. As the threading module makes new threads, they all stay within the same process, so when I add more,
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
Python: setting memory limit for a particular function call
In a Python script, I want to set a memory limit for a certain function call. I looked at how to limit heap size; however, I don’t want to limit the memory of the entire running Python process — i.e. setting the memory limit before and after the function call. Is there any way to make a function call with