Python Generator (yield)

For calling a normal Python function, it is generally executed from the first line of the function, ending with a return statement, an exception, or all the statements of the function. Once the function returns control to the caller, it means that it is all over. All the work done in the function and the data saved in the local variables will be lost. When you call this function again, everything will be created from scratch. Python is a builder that implements a concept similar to a synergistic program: The generator can suspend functions temporarily, retain data such as local variables of the function, and then continue execution from the last paused position when it is called again.

Improve your Python: Explain yield and generators (generator)

>>> a = [i forIinchRange (100)if  not(i%2) andi%3]>>>a[2, 4, 8, 10, 14, 16, 20, 22, 26, 28, 32, 34, 38, 40, 44, 46, 50, 52, 56, 58, 62, 64, 68, 70, 74, 76, 80, 82, 86, 88, 92, 9 4, 98]>>> b = {i:i% 2 = = 0 forIinchRange (10)}>>>B{0:true,1:false, 2:true, 3:false, 4:true, 5:false, 6:true, 7:false, 8:true, 9: False}>>> C = {i forIinch[2,1,1,1,5,6,9,0,3,4,5,5,7,6,8,3]}>>>c{0,1, 2, 3, 4, 5, 6, 7, 8, 9}>>> d ="i-I in ' I love fishc.com '">>>D"i-I in ' I love fishc.com '">>> E = (i forIinchRange (10))>>>e<generator Object <genexpr> at 0x0000000002f08af8>>>>Next (E) 0>>>Next (E)1>>>Next (E)2>>>Next (E)3>>> foreachinche:Print(each)456789>>> SUM (i forIinchRange (100))4950

The above is a list deduction, in fact, there is a dictionary derivation, and no tuple derivation, the result of the tuple derivation is actually a generator, as the above example of E.

def fibs ():     = 0    = 1     while True:        = B, A + b        yield  a          for in fibs ():    if all >:        break     Print(each, end=")    

The code above is the Fibonacci sequence implemented by the generator. When the generator encounters the yield keyword, the function can be temporarily suspended, and the function will continue to execute from the last place of the generator only when the generator is re-accessed.

Python generator (yield)