PYTHON

threading python

import threading

def worker(argument):
    print(argument)
    return

for i in range(5):
    t = threading.Thread(target=worker, args=[i])
    t.start()

threading python

import threading
import time

def thread_function(name):
     print(f"Thread {name}: starting")
     time.sleep(2)
     print(f"Thread {name}: finishing")
 
my_thread = threading.Thread(target=thread_function, args=(1,))
my_thread.start()
time.sleep(1)
my_second_thread = threading.Thread(target=thread_function, args=(2,))
my_second_thread.start()
my_second_thread.join() # Wait until thread finishes to exit

python thread function

x = threading.Thread(target=thread_function, args=(1,), daemon=True)
x.start()
# x.join()

python threading

def myFunction(x, y):
  pass

x = threading.Thread(target=myFunction, args=(x, y))
x.start()

thread syntax in python

import threading

def work():
  print("Hello User")
if __name__ == "__main__":  
	thread = threading.Thread(target=work, name='thread-a')
    print("How are you?")
    thread.join()

usage of thread in python

import threading
from random import randint
from time import sleep


def print_number(number):

    # Sleeps a random 1 to 10 seconds
    rand_int_var = randint(1, 10)
    sleep(rand_int_var)
    print "Thread " + str(number) + " slept for " + str(rand_int_var) + " seconds"

thread_list = []

for i in range(1, 10):

    # Instantiates the thread
    # (i) does not make a sequence, so (i,)
    t = threading.Thread(target=print_number, args=(i,))
    # Sticks the thread in a list so that it remains accessible
    thread_list.append(t)

# Starts threads
for thread in thread_list:
    thread.start()

# This blocks the calling thread until the thread whose join() method is called is terminated.
# From http://docs.python.org/2/library/threading.html#thread-objects
for thread in thread_list:
    thread.join()

# Demonstrates that the main process waited for threads to complete
print "Done"

Threading in python

# Python program to illustrate the concept
# of threading
# importing the threading module
import threading
  
def print_cube(num):
    """
    function to print cube of given num
    """
    print("Cube: {}".format(num * num * num))
  
def print_square(num):
    """
    function to print square of given num
    """
    print("Square: {}".format(num * num))
  
if __name__ == "__main__":
    # creating thread
    t1 = threading.Thread(target=print_square, args=(10,))
    t2 = threading.Thread(target=print_cube, args=(10,))
  
    # starting thread 1
    t1.start()
    # starting thread 2
    t2.start()
  
    # wait until thread 1 is completely executed
    t1.join()
    # wait until thread 2 is completely executed
    t2.join()
  
    # both threads completely executed
    print("Done!")

threading poython

x = threading.Thread(target=function, args=[function_args])
x.start()

Threading in python

#Python multithreading example to print current date.
#1. Define a subclass using threading.Thread class.
#2. Instantiate the subclass and trigger the thread.

import threading
import datetime

class myThread (threading.Thread):
    def __init__(self, name, counter):
        threading.Thread.__init__(self)
        self.threadID = counter
        self.name = name
        self.counter = counter
    def run(self):
        print("
Starting " + self.name)
        print_date(self.name, self.counter)
        print("Exiting " + self.name)

def print_date(threadName, counter):
    datefields = []
    today = datetime.date.today()
    datefields.append(today)
    print("{}[{}]: {}".format( threadName, counter, datefields[0] ))

# Create new threads
thread1 = myThread("Thread", 1)
thread2 = myThread("Thread", 2)

# Start new Threads
thread1.start()
thread2.start()

thread1.join()
thread2.join()
print("
Exiting the Program!!!")

python threading with keyword

Using a with statement alongwith the lock ensures the mutual exclusion. By exclusion, it is meant that at a time only one thread (under with statement) is allowed to execute the block of a statement.
The lock for the duration of intended statements is acquired and is released when the control flow exits the indented block

threading py

new_thread = Thread(target=fn,args=args_tuple)
Code language: Python (python)

what is thread in python

A thread is a separate flow of execution. This means that your program will have two things happening at once. But for most Python 3 implementations the different threads do not actually execute at the same time: they merely appear to.