python_ concurrent programming - multithreading

1. multithreading

from threading import Thread
import time

def func(n):
    time.sleep(1)
    print(n)

for i in range(10):
    T = the Thread (target = FUNC, args = (I,))    # register functions into sub-thread, and pass parameters 
    t.start ()    # promoter thread

result:

 

 2. Another way to start a multi-threaded

from threading import Thread
import time

class MyTread (the Thread):
     DEF  the __init__ (Self, Arg):      # reception parameters 
        . Super () the __init__ ()
        self.arg = arg

    DEF RUN (Self):   # contents of sub-thread to perform 
        the time.sleep (1 )
         Print (self.arg)

for i in range(10):
    T = MyTread (I)   # instantiating subunit thread passed parameters + 
    t.start ()    # promoter thread

result:

 

 3. Check whether multi-threaded process are the same inside

from threading import Thread
import time
import os

class MyTread (the Thread):
     DEF  the __init__ (Self, Arg):      # reception parameters 
        . Super () the __init__ ()
        self.arg = arg

    DEF RUN (Self):   # contents of sub-thread to perform 
        the time.sleep (1 )
         Print (self.arg, os.getpid ())

for i in range(10):
    T = MyTread (I)   # instantiating subunit thread passed parameters + 
    t.start ()    # promoter thread 
Print ( ' main thread: ' , os.getpid ())

Result: The  same process number, a description of all the threads inside the same process.

4. The data sharing between threads

from threading import Thread
import time

ggg = 100

def func(n):
    time.sleep(1)
    global ggg
    GGG = 0
     Print ( ' child thread: ' , n-)


t_list = []
for i in range(10):
    t = Thread(target=func,args=(i,))
    t.start()
    t_list.append(t)
for i in t_list:
    i.join()
Print ( ' main thread: ' , GGG)

Results: The  global variable ggg could have been 100, was changed to 0 in the sub-thread.