I need to debug a child process spawned by multiprocessing.Process(). The pdb degugger seems to be unaware of forking and unable to attach to already running processes. Are there any smarter python debuggers which can be attached to a subprocess? Answer Winpdb is pretty much the definition of a smarter Python debugger. It explicitly supports going down a fork, not
Tag: multiprocessing
Can I use a multiprocessing Queue in a function called by Pool.imap?
I’m using python 2.7, and trying to run some CPU heavy tasks in their own processes. I would like to be able to send messages back to the parent process to keep it informed of the current status of the process. The multiprocessing Queue seems perfect for this but I can’t figure out how to get it work. So, this
Combine Pool.map with shared memory Array in Python multiprocessing
I have a very large (read only) array of data that I want to be processed by multiple processes in parallel. I like the Pool.map function and would like to use it to calculate functions on that data in parallel. I saw that one can use the Value or Array class to use shared memory data between processes. But when
Log output of multiprocessing.Process
Is there a way to log the stdout output from a given Process when using the multiprocessing.Process class in python? Answer The easiest way might be to just override sys.stdout. Slightly modifying an example from the multiprocessing manual: And running it: $ ls m.py $ python m.py $ ls 27493.out 27494.out m.py $ cat 27493.out function f module name: __main__