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This article is about the pros and cons of iterators in python. The editor thinks it is very practical, so share it with you as a reference and follow the editor to have a look.

Description

1, the advantage of iterator, save memory, iterator in memory equivalent to only one data space: because each value on a piece of data will be released in memory, load the current piece of data.

Inert mechanism.

Next one value at a time, never too many values.

There is an iterator pattern that can well explain the above two: iteration is the cornerstone of data processing. When scanning data sets that can't fit in memory, we need to find a lazy way to get data items, that is, one data item at a time as needed. This is the iterator pattern.

2, the shortcomings of the iterator, can not intuitively view the data inside. When taking a value, you don't go back, you can only take the value down all the time.

Example

L1 = [1,2,3,4,5,6] obj = iter (L1) for i in range (2): print (next (obj)) for i in range (2): print (next (obj)) Thank you for reading! This is the end of this article on "what are the advantages and disadvantages of iterators in python". I hope the above content can be helpful to you, so that you can learn more knowledge. if you think the article is good, you can share it for more people to see!

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