Python中关于多线程Threading入门简介

多线程可简单理解为同时执行多个任务。本文给大家分享Python 多线程Threading初学教程实例详解，感兴趣的朋友一起学习吧

def thread_job():
  print('This is a thread of %s' % threading.current_thread())
def main():
  thread = threading.Thread(target=thread_job,)  # 定义线程 
  thread.start() # 让线程开始工作
  if __name__ == '__main__':
  main() 

import threading
import time
def thread_job():
  print('T1 start\n')
  for i in range(10):
    time.sleep(0.1)
  print('T1 finish\n')
def T2_job():
  print('T2 start\n')
  print('T2 finish\n')
def main():
  added_thread=threading.Thread(target=thread_job,name='T1')
  thread2=threading.Thread(target=T2_job,name='T2')
  added_thread.start()
  #added_thread.join()
  thread2.start()
  #thread2.join()
  print('all done\n')
if __name__=='__main__':
   main() 

import threading
import time
from queue import Queue
def job(l,q):
  for i in range(len(l)):
    l[i]=l[i]**2
  q.put(l)
def multithreading():
  q=Queue()
  threads=[]
  data=[[1,2,3],[3,4,5],[4,5,6],[5,6,7]]
  for i in range(4):
    t=threading.Thread(target=job,args=(data[i],q))
    t.start()
    threads.append(t)
  for thread in threads:
    thread.join()
  results=[]
  for _ in range(4):
    results.append(q.get())
  print(results)
if __name__=='__main__':
   multithreading() 

import threading
from queue import Queue
import copy
import time
def job(l, q):
  res = sum(l)
  q.put(res)
def multithreading(l):
  q = Queue()
  threads = []
  for i in range(4):
    t = threading.Thread(target=job, args=(copy.copy(l), q), name='T%i' % i)
    t.start()
    threads.append(t)
  [t.join() for t in threads]
  total = 0
  for _ in range(4):
    total += q.get()
  print(total)
def normal(l):
  total = sum(l)
  print(total)
if __name__ == '__main__':
  l = list(range(1000000))
  s_t = time.time()
  normal(l*4)
  print('normal: ',time.time()-s_t)
  s_t = time.time()
  multithreading(l)
  print('multithreading: ', time.time()-s_t) 

import threading
def job1():
  global A, lock #全局变量
  lock.acquire() #开始lock
  for i in range(10):
    A += 1
    print('job1', A)
  lock.release() #释放
def job2(): 
  global A, lock
  lock.acquire()
  for i in range(10):
    A += 10
    print('job2', A)
  lock.release()
if __name__ == '__main__':
  lock = threading.Lock()
  A = 0
  t1 = threading.Thread(target=job1)
  t2 = threading.Thread(target=job2)
  t1.start()
  t2.start()
  t1.join()
  t2.join() 

运行结果如下所示：

总结

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