top button
Flag Notify
    Connect to us
      Facebook Login
      Site Registration Why to Join

Facebook Login
Site Registration

What is the difference between Multi threading vs Multiprocessing in python?

0 votes
47 views
What is the difference between Multi threading vs Multiprocessing in python?
posted Jan 31 by anonymous

Share this question
Facebook Share Button Twitter Share Button Google+ Share Button LinkedIn Share Button Multiple Social Share Button

1 Answer

0 votes

The threading module uses threads, the multiprocessing module uses processes. The difference is that threads run in the same memory space, while processes have separate memory. This makes it a bit harder to share objects between processes with multiprocessing.

answer 2 days ago by Anuprasad
Similar Questions
0 votes

This is my first script where I want to use the python threading module. I have a large dataset which is a list of dict this can be as much as 200 dictionaries in the list. The final goal is a histogram for each dict 16 histograms on a page ( 4x4 ) - this already works.
What I currently do is a create a nested list [ [ {} ], [ {} ] ] each inner list contains 16 dictionaries, thus each inner list is a single page of 16 histograms. Iterating over the outer-list and creating the graphs takes to long. So I would like multiple inner-list to be processes simultaneously and creating the graphs in "parallel".
I am trying to use the python threading for this. I create 4 threads loop over the outer-list and send a inner-list to the thread. This seems to work if my nested lists only contains 2 elements - thus less elements than threads. Currently the scripts runs and then seems to get hung up. I monitor the resource on my mac and python starts off good using 80% and when the 4-thread is created the CPU usages drops to 0%.

My thread creating is based on the following : http://www.tutorialspoint.com/python/python_multithreading.htm

+1 vote

I am working on integration of multiple GUI (Tkinter) elements, such a progress bar, label update, etc, and throughout my research i discovered that i need to have Threading modules used to distribute the calls for GUI update and processing of my main App.

My Application is broken into multiple Classes(modules), and i wanted to hear your thought on the best practices to implement the Threading model.

I was thinking to create a new py-module, and reference all other modules/class to it, and create thread.start() objects, that would execute the GUI part, other will handle GUI Updates, and other - will be doing the processing.

Please share some of your thought on this approach, or maybe you may suggest a more effective way.

+1 vote

I want my thread to be killed when I receive a particular message from Master.(I want my thread to stop whatever it is doing and come out.)

I tried few things but not working,
1) thread_name.exit()
2) thread_name.daemon = True

Any other way?

0 votes

I have a pool of worker threads, created like this:

threads = [MyThread(*args) for i in range(numthreads)]
for t in threads:
 t.start()

I then block until the threads are all done:

while any(t.isAlive() for t in threads):
 pass

Is that the right way to wait for the threads to be done? Should I stick a call to time.sleep() inside the while loop? If so, how long should I sleep? That's probably an unanswerable question, but some guidelines on
choosing the sleep time will be appreciated.

Contact Us
+91 9880187415
sales@queryhome.net
support@queryhome.net
#280, 3rd floor, 5th Main
6th Sector, HSR Layout
Bangalore-560102
Karnataka INDIA.
QUERY HOME
...