Python process and thread summary case analysis

The traditional way is to call 2 methods to execute 1 task, and the methods are executed in sequence

# - *- coding:utf-8-*-import threading
import time
def run(n):print('task',n)
 time.sleep(3)if __name__ =='__main__':run('t1')run('t2')

Multi-threaded example

2 Threads execute 1 task concurrently

# - *- coding:utf-8-*-import threading
import time
def run(n):print('task',n)
 time.sleep(3)if __name__ =='__main__':
 t1=threading.Thread(target=run,args=('t1',))
 t2=threading.Thread(target=run,args=('t2',))
 t1.start()
 t2.start()

Write your own class to inherit threading.Thread

# - *- coding:utf-8-*-import threading
import time
classMyThread(threading.Thread):
 def __init__(self,n):super(MyThread,self).__init__()
 self.n=n
 # There is a run method by default
 def run(self):print('runing task',self.n)if __name__ =='__main__':
 # Call thread through object in main method
 t1=MyThread('t1')
 t2=MyThread('t2')
 t1.run()
 t2.run()

Use a for loop to start multiple threads

# - *- coding:utf-8-*-import threading
import time
def run(n):print('task',n)
 time.sleep(3)if __name__ =='__main__':for i inrange(10):
 t=threading.Thread(target=run,args=('t-%s'%i,))
 t.start()

Wait for the execution of multiple threads at the same time, and then execute other codes, because threads are running with other codes

# - *- coding:utf-8-*-import threading
import time
def run(n):print('task',n)
 time.sleep(3)if __name__ =='__main__':
 time_start=time.time()
 # Define an empty list to load the thread t instance
 t_objects=[]for i inrange(10):
 t=threading.Thread(target=run,args=('t-%s'%i,))
 t.start()
 t_objects.append(t)
 # After all threads are executed, execute the following code
 # Because the thread and the following code are running at the same time
 # If you want to wait for the thread to finish executing before executing other code
 # Use join()Way to block
 # End all t threads uniformly here
 for i in t_objects:
 t.join()
 time_end=time.time()
 sun=time_end-time_start
 print(sun)

to sum up

The above is an example analysis of python processes and threads introduced by the editor. I hope it will be helpful to you. If you have any questions, please leave a message to me. The editor will reply to you in time!

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