Talking about python iterator and python Generator

Talking about python iterator and python Generator

1. yield: Convert the function into a generator (generator)

Example: Fibonacci Series

def fib(num):  a, b, c = 1, 0, 1　　　　  while a <= num:    yield c    b, c = c, b + c    a += 1for n in fib(10):  print(n, end=' ')# 1 1 2 3 5 8 13 21 34 55

2. Iterable

All objects that can use the for loop, collectively referred to as Iterable)

from collections import Iterable, Iteratorprint(isinstance(fib(10), Iterable))print(isinstance(range(10), Iterable))# True# True

3. Iterator

You can use the next () <__ next _ ()> function to call an object that continuously returns the next value to become an Iterator (Iterator), indicating a sequence of inert computing.

List, dict, str is Iterable, not Iterator:

from collections import Iteratorprint(isinstance(list(), Iterator))# False

However, you can use the iter () function to change it to Iterator:

print(isinstance(iter(list()), Iterator))# True

Summary

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