Python for layout

Can someone tell me how exactly Python’s for loops are implemented? The reason I’m asking this is because I’m getting different behavior in the following two for loops when I expect the same behavior (assuming cases
is just a set of elements):

First for loop:

for case in cases:

Second for loop:

for i in range(len(cases)):
    case = cases[i]

I’m running my code in a multi-threaded environment.

Basically, I’m wondering whether Python’s for loop’s iterating over a set (as in the first for loop) is simply a quickhand way of the second one. What exactly happens when we use the python for loop, and is there any underlying optimization/ implementation that may be causing the behavior difference I’m observing?

No, the second format is quite different.

The for
loop calls iter()
on the to-loop-over sequence, and uses next()
calls on the result. Consider it the equivalent of:

iterable = iter(cases):
while True:
        case = next(iterable)
    except StopIteration:

    # blah

The result of calling iter()
on a list is a list iterator object:

>>> iter([])

This object keeps a reference to the original list and keeps track of the index it is at. That index starts at 0 and increments until it the list has been iterated over fully.

Different objects can return different iterators with different behaviours. With threading mixed in, you could end up replacing cases
with something else, but the iterator would still reference the old sequence.

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