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This article introduces what is the traversal of iterable objects in big data. The content is very detailed. Interested friends can use it for reference. I hope it will be helpful to you.

Items = [1, 2, 3, 4, 4, 5, and 6] results: 1 [2, 3, 3, 4, 4, 5, 5, 6] 2 [3, 4, 5, 5, 6] 3 [4, 5, 5, 6] 6 []

Method 1:

Def sum (items): # Recursive head,*tail = items print (head,tail) return head + sum (tail) if tail else head

Method 2:

Def sum (items): # unpack tail = items while tail: head,*tail = tail print (head,tail)

Method 3:

Def sum (items): # slice tail = items while tail: print (tail [: 1] [0], tail [1:]) tail = tail [1:]

Method 4:

Items = [1 list 2, items 3] def sum (items): # list method while items: print (items [0], items [1:]) items.pop (0) this is the end of the traversal of iterable objects in big data. I hope the above content can be helpful to you and learn more knowledge. If you think the article is good, you can share it for more people to see.

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