Python __iter__ performance

$ python -m timeit -r 1000 -s "bla=[1,2,3]" "for item in bla:" "  item"
1000000 loops, best of 1000: 0.306 usec per loop

$ python -m timeit -r 1000 -s "bla=[1,2,3]" "lista=bla.__iter__()" "while True:" "  try:" "    lista.next()" "  except:" "    break"
100000 loops, best of 1000: 3.13 usec per loop

__iter__ + try..except + while is round 11x slower than “for in” loop.