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This article mainly introduces the detailed explanation and examples of python iterators and iter() functions. Friends in need can refer to the following
Iterators and iter() functions in python
The iterator provides a sequence-like interface for the class sequence object . Python's iteration seamlessly supports sequence objects, and it also allows programmers to iterate over non-sequence types, including user-defined objects. Iterators are very neat to use. You can iterate over objects that are not sequences but represent the behavior of a sequence, such as dictionary keys, lines of a file, etc. The functions of iterators are as follows:
•Provides an extended iterator interface;
•Brings performance enhancements to list iteration;
•Performance improvements in dictionary iteration;
•Create a true iteration interface instead of the original random object access;
•Backwards compatible with all existing user-defined classes and extended objects that simulate sequences and maps;
•Iterate over non-sequence collections (such as maps and files), you can create more concise and readable code
#iter and generator #the first try #================================= i = iter('abcd') print i.next() print i.next() print i.next() s = {'one':1,'two':2,'three':3} print s m = iter(s) print m.next() print m.next() print m.next()
D:\Scirpt\Python\Python AdvancedProgramming>python ch2_2.py
a b c {'three': 3, 'two': 2, 'one': 1} three two one
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