Kill a running subprocess call
I’m launching a program with subprocess on Python.
subprocess
Launch a shell command with in a python script, wait for the termination and return to the script
I’ve a python script that has to launch a shell command for every file in a dir:
python getoutput() equivalent in subprocess
I want to get the output from some shell commands like ls or df in a python script. I see that commands.getoutput(‘ls’) is deprecated but subprocess.call(‘ls’) will only get me the return code. I’ll hope there is some simple solution. Answers: Thank you for visiting the Q&A section on Magenaut. Please note that all the … Read more
‘yes’ reporting error with subprocess communicate()
I am using the following function to run a command in Python:
Python subprocess .check_call vs .check_output
My python script (python 3.4.3) calls a bash script via subprocess:
How do i use subprocesses to force python to release memory?
I was reading up on Python Memory Management and would like to reduce the memory footprint of my application. It was suggested that subprocesses would go a long way in mitigating the problem; but i’m having trouble conceptualizing what needs to be done. Could some one please provide a simple example of how to turn this…
Communicate multiple times with a process without breaking the pipe?
It’s not the first time I’m having this problem, and it’s really bugging me.
Whenever I open a pipe using the Python subprocess module, I can only communicate with it once, as the documentation specifies: Read data from stdout and stderr, until end-of-file is reached
Python Subprocess.Popen from a thread
I’m trying to launch an ‘rsync’ using subprocess module and Popen inside of a thread. After I call the rsync I need to read the output as well. I’m using the communicate method to read the output. The code runs fine when I do not use a thread. It appears that when I use a thread it hangs on the communicate call. Another thing I’ve noticed is that when I set shell=False I get nothing back from the communicate when running in a thread.