generator concept

#Generator: The emergence of the generator is to avoid the problem of quickly generating a batch of data and occupying too much memory in an instant. #The
 way to use is when you need data, go to the generator to get it, and then open up space in the memory
 #List generation is to quickly generate a list and open up the corresponding space in memory #Format
 1: Replace [] in the list with ()
 g=(x for x in range ( 100 ))
 #Get data next()
 print ( next (g))
 #If the generator has no data, it will report an error
 li=[ 1 , 3 , 5 , 6 , 9 ]
 for x in g:
     if x== 10 :
         break
 print (x)
 # Format 2: Get the specified number of data
 # function combined with yield
 def    get_value(num):
     for i in range (num):
         yield i   #Return the data
         #print(i) #The next time you get it, execute print, you can do without
 gl=get_value( 10 )
 #Get the data, you can do it one by one You can also use forin
 print ( "value just obtained:" , next (gl))
 print ( "value just obtained: " , next (gl))
 for i in gl:
     print (i)