what is multithreading in python code example

Example 1: multithreading in python

from multiprocessing.pool import ThreadPool

def stringFunction(value):
    my_str = 3 + value
    return my_str


def stringFunctio(value):
    my_str = 33 + value
    return my_str



pool = ThreadPool(processes=1)

    
thread1 = pool.apply_async(stringFunction,(8,))
thread2 = pool.apply_async(stringFunctio,(8,))

return_val = thread1.get()
return_val1 = thread2.get()

Example 2: how to execute program with multithreading python

#!/usr/bin/python

import thread
import time

# Define a function for the thread
def print_time( threadName, delay):
   count = 0
   while count < 5:
      time.sleep(delay)
      count += 1
      print "%s: %s" % ( threadName, time.ctime(time.time()) )

# Create two threads as follows
try:
   thread.start_new_thread( print_time, ("Thread-1", 2, ) )
   thread.start_new_thread( print_time, ("Thread-2", 4, ) )
except:
   print "Error: unable to start thread"

while 1:
   pass

Example 3: python 2.7 multithreading

from multiprocessing.pool import ThreadPool as Pool

pool_size = 10
pool = Pool(pool_size)

results = []

for region, directory_ids in direct_dict.iteritems():
    for dir in directory_ids:
        result = pool.apply_async(describe_with_directory_workspaces,
                                  (region, dir, username))
        results.append(result)

for result in results:
    code, content = result.get()
    if code == 0:
        # ...

Example 4: multithreading python

class FakeDatabase:
    def __init__(self):
        self.value = 0
        self._lock = threading.Lock()

    def locked_update(self, name):
        logging.info("Thread %s: starting update", name)
        logging.debug("Thread %s about to lock", name)
        with self._lock:
            logging.debug("Thread %s has lock", name)
            local_copy = self.value
            local_copy += 1
            time.sleep(0.1)
            self.value = local_copy
            logging.debug("Thread %s about to release lock", name)
        logging.debug("Thread %s after release", name)
        logging.info("Thread %s: finishing update", name)