Example 1: create new thread python
from threading import Thread
from time import sleep
def threaded_function(arg):
for i in range(arg):
print("running")
sleep(1)
if __name__ == "__main__":
thread = Thread(target = threaded_function, args = (10, ))
thread.start()
thread.join()
print("thread finished...exiting")
Example 2: 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 3: 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 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)
Example 5: multithread python3
import timeimport threadingdef calc_square(number): print("Calculate square numbers: ") for i in numbers: time.sleep(0.2) #artificial time-delay print('square: ', str(n*n))def calc_cude(number): print("Calculate cude numbers: ") for i in numbers: time.sleep(0.2) print('cube: ', str(n*n*n))arr = [2,3,8,9]t = time.time()t1 = threading.Thread(target = cal_square,args=(arr,))t2 = threading.Thread(target = cal_cube,args=(arr,))# creating two threads here t1 & t2t1.start()t2.start()# starting threads here parallelly by usign start function.t1.join()# this join() will wait until the cal_square() function is finised.t2.join()# this join() will wait unit the cal_cube() function is finised.print("Successed!")