Generator in Python generator

Generator (Generator)

1. Generator is a container

2, the generator can be the edge of the loop calculation

3. Generator can save memory

4. The generator is an iterative object

5. The function that becomes generator, executes at each call, next() encounters a yield statement return, executes again from the last statement returned yield

Generation of generators

1, generator expression like list as

 for inch [1,2,3,4]]

The difference is that the generator is ()

 for  in range (4))

 for  in range (4))print(Next (g)) for in G:      Print(x)

2. Generator function yield

　　

def fib (max):    N, a, b = 0, 0, #    L = [] while    n < max:#        print (b)        yield b#        l.append (b) 
   a, B = B, a + b        n = n + #    return L    return ' done ' F = fib (6) print (f) print (Next (f)) print (next) (f))

Generator in Python generator