The object that can be directly used in the for loop is called iterable object (iterable);
The object that can be called by the next() function and continuously returns the next value is called iterator (iterator);
All iterable objects can be converted into iterators through the built-in function iter().
When using a for loop, the program will automatically call the iterator object of the object to be processed, and then use its next() method until a stoplteration exception is detected.
>>> l = [4,5,6,7,8,9,0] #这是一个列表 >>> i = iter(l) #可迭代对象转换为迭代器; >>> next(i) 4 >>> next(i) 5 >>> next(i) 6 >>> next(i) 7 >>> next(i) 8 >>> next(i) 9 >>> next(i) 0 >>> next(i) Traceback (most recent call last): File "<stdin>", line 1, in <module> StopIteration
Because there are no numbers exceeding 0 in the list, when the range exceeds, a StopIteration exception will be returned.
How to judge in a production environment
>>> L = [4,5,6] >>> I = L.__iter__() >>> L.__next__() Traceback (most recent call last): File "<stdin>", line 1, in <module> AttributeError: 'list' object has no attribute '__next__' >>> I.__next__() 4 >>> from collections import Iterator, Iterable >>> isinstance(L, Iterable) True >>> isinstance(L, Iterator) False >>> isinstance(I, Iterable) True >>> isinstance(I, Iterator) True >>> [x**2 for x in I] [25, 36]
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Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

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