Fix Python – Can’t pickle when using multiprocessing

I’m trying to use multiprocessing’s function to divide out work simultaneously. When I use the following code, it works fine:
import multiprocessing

def f(x):
return x*x

def go():
pool = multiprocessing.Pool(processes=4)
print, range(10))

if __name__== ‘__main__’ :

However, when I use it in a….

Fix Python – Creating Threads in python

I have a script and I want one function to run at the same time as the other.
The example code I have looked at:
import threading

def MyThread (threading.thread):
# doing something……..

def MyThread2 (threading.thread):
# doing something……..


I am having trouble getting this working. I would….

Fix Python – multiprocessing vs multithreading vs asyncio in Python 3

I found that in Python 3.4 there are few different libraries for multiprocessing/threading: multiprocessing vs threading vs asyncio.
But I don’t know which one to use or is the “recommended one”. Do they do the same thing, or are different? If so, which one is used for what? I want to write a program that uses multicores in my computer. But I don’….

Fix Python – How to obtain a Thread id in Python?

I have a multi-threading Python program, and a utility function, writeLog(message), that writes out a timestamp followed by the message. Unfortunately, the resultant log file gives no indication of which thread is generating which message.
I would like writeLog() to be able to add something to the message to identify which thread is calling it. O….

Fix Python – What is the use of join() in Python threading?

I was studying the python threading and came across join().
The author told that if thread is in daemon mode then i need to use join() so that thread can finish itself before main thread terminates.
but I have also seen him using t.join() even though t was not daemon
example code is this
import threading
import time
import logging


Fix Python – Daemon Threads Explanation

In the Python documentation
it says:

A thread can be flagged as a “daemon thread”. The significance of this
flag is that the entire Python program exits when only daemon threads
are left. The initial value is inherited from the creating thread.

Does anyone have a clearer explanation of what that means or a practical example showing where you….

Fix Python – Threading pool similar to the multiprocessing Pool?

Is there a Pool class for worker threads, similar to the multiprocessing module’s Pool class?
I like for example the easy way to parallelize a map function
def long_running_func(p):

p = multiprocessing.Pool(4)
xs =, range(100))

however I would like to do it without the overhead of creating new process….