Actually I think using plain slices is the best solution in this case:
for i in range(0, len(data), 100):
chunk = data[i:i + 100]
...
If you want to avoid copying the slices, you could use itertools.islice()
, but it doesn't seem to be necessary here.
The itertools()
documentation also contains the famous "grouper" pattern:
def grouper(n, iterable, fillvalue=None):
"grouper(3, 'ABCDEFG', 'x') --> ABC DEF Gxx"
args = [iter(iterable)] * n
return izip_longest(fillvalue=fillvalue, *args)
You would need to modify it to treat the last chunk correctly, so I think the straight-forward solution using plain slices is preferable.