PythonStudy-- multi-threaded and multi-process comparison

IO-intensive tasks sub-process solutions

# Test1 IO-intensive tasks (Act 1: Open the child process solutions)
 from multiprocessing Import Process
 Import Time 

DEF Task (): 
    the time.sleep ( 2 ) 

IF  __name__ == ' __main__ ' : 
    Start = time.time () 
    LST = []
     # for opening the sub-process 100 
    for I in Range (100 ): 
        p = process (target = Task) 
        p.start () 
        # p-child process objects stored list, this time as a list of all instances of acceptable container out of objects 
        lst.append (the p-)
     for the p-in lst:
        p.join()
    end = time.time()
    print(end-start)  

# 耗时 2.1534228324890137

 IO-intensive tasks task sub-process solution

from Threading Import the Thread
 Import Time 

DEF Task (): 
    the time.sleep ( 2 ) 

IF  the __name__ == ' __main__ ' : 
    Start = the time.time () 
    LST = []
     # for opening the sub-process 100 
    for I in Range (100 ) : 
        p = the Thread (target = Task) 
        p.start () 
        # p-sub process objects stored in the list, this time to accept the list as a container for all instances of an object out of 
        lst.append (p)
     for p in LST: 
        p.join ()
    End = the time.time ()
     Print (Start-End)   # Processed 2.0103108882904053