https://www.youtube.com/watch?v=DnTn3Yx-Nvg

 

 

 join功能：

import threadingimport timedef thread_job2():    print('T2', threading.current_thread())def thread_job1():    print("-----------T1 begin-----------")    for i in range(10):        print("job2:", threading.current_thread())        time.sleep(0.1)    print("-----------T1 end-----------")def main():    thread1 = threading.Thread(target=thread_job1, name="T1")    thread2 = threading.Thread(target=thread_job2, name="T2")    thread1.start()    thread2.start()    thread1.join() # 要等线程全部运行完，才执行下一步。需要加这一句    print(threading.active_count())    print(threading.enumerate())    print(threading.currentThread())    print("all done")if __name__ == '__main__':    main()

 

Queue功能

https://www.youtube.com/watch?v=DnTn3Yx-Nvg

https://github.com/MorvanZhou/tutorials/blob/master/threadingTUT/thread4_queue.py　　代码 

 

GIL

多线程的运算不一定会效率会提升很多,原因在于 python 的 GIL (global interpreter lock)

 https://www.youtube.com/watch?v=2511-7VR4nQ

 

lock锁

https://www.youtube.com/watch?v=-q4txLdUMBM

https://github.com/MorvanZhou/tutorials/blob/master/threadingTUT/thread6_lock.py

lock和join的区别：  lock 是锁住变量的更新，join 是不让主线程比某个 thread 先结束

 

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多进程

多核可以避免上述多线程的劣势

https://morvanzhou.github.io/tutorials/python-basic/multiprocessing/3-queue/

 

 

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