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This article mainly explains the "slicing of Python advanced features and iterative example usage". The explanation in this article is simple and clear and easy to learn and understand. Please follow the editor's train of thought to study and learn "Python advanced feature slicing and iterative example usage".

Slicing: it is convenient to intercept the contents of list, tuple and string partial indexes.

Positive sequence slice

Syntax: dlist = doList [0:3] means that it starts at index 0 and ends at index 3, but does not include index 3. That is to say, the index 0, 1, 2, happens to be 3 elements.

Example:

Dolist = [1print 3, 5 dlist 7, 9 11] dlist = dolist [0:3] # is consistent with the range () function with left but not right nlist = dolist [: 3] # when the starting value is 0, the effect is the same as that of dlist (dlist) print (nlist)

Running result:

Reverse slicing

Syntax: slist = dolist [- 2:] indicates that index 0 is not expanded from the penultimate index until the index is 0

Example:

# reverse slices slist = dolist [- 2:] rlist = dolist [- 4 rlist 2] print (slist) print (rlist)

Running result:

Interval slice

Syntax: jlist = dolist [:: 2] # every 2 index slices

Example:

Iteration: given a list or tuple, we can traverse the list or tuple through a for loop, which we call iteration (Iteration).

Determine whether an object can iterate: the Iterable type of the collections module

Example:

# determine whether it is an iterative object from collections import iterable # Guide package print (isinstance ("abc", (Iterable)

Running result:

Python's built-in enumerate function turns a list into an index-element pair, so that you can iterate over both the index and the element itself in the for loop:

Example:

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