Answer to Question #226641 in Python for Dion Martins

Question

1. Edit, Debug and Run the given Python script files: TP1.py
2. The Evaluator will allocate marks based on the correct output results

"""In distributed systems, it is a good idea to segregate threads into groups
if they are performing different tasks. Say, for instance, you have an
application that both listens for incoming stock price changes
and also tries to predict where that price will go. You could, for instance,
have two different thread groups here: one group listening for the changes
and the other performing the necessary calculations.
"""
import threading
import time
def myThread():
print("Thread {%} starting".format(threading.currentThread().getName()))
time.sleep(10)
print("Thread {} ending".format(threading.currentThread().getName()))
for i in range(4):
threadName = "Thread-" + str(i)
thread = threading.Thread(name=threadName, target=myThread)
thread.start()
print("{#}".format(threading.enumerate()))

Answer 1

import threading

mport time

def myThread():
    print("\nThread: {} starting".format(threading.currentThread().getName()))
    time.sleep(5)
    print("\nThread: {} ending".format(threading.currentThread().getName()))
    for i in range(4):
        threadName = "Thread-" + str(i)
        thread = threading.Thread(name=threadName, target=myThread)
        thread.start()
#        print("\n{}".format(threading.enumerate()))


myThread()