The while True
is only slower because of the global lookup for True
. If you use while 1
instead, the while-loop should handily beat the for-repeat (at least in terms of speed, beauty, and clarity):
>>> from dis import dis
>>> def f():
while True:
print
>>> dis(f)
2 0 SETUP_LOOP 11 (to 14)
>> 3 LOAD_GLOBAL 0 (True)
6 POP_JUMP_IF_FALSE 13
3 9 PRINT_NEWLINE
10 JUMP_ABSOLUTE 3
>> 13 POP_BLOCK
>> 14 LOAD_CONST 0 (None)
17 RETURN_VALUE
>>> def g():
while 1:
print
>>> dis(g)
2 0 SETUP_LOOP 4 (to 7)
3 >> 3 PRINT_NEWLINE
4 JUMP_ABSOLUTE 3
>> 7 LOAD_CONST 0 (None)
10 RETURN_VALUE
The main use case for repeat is to supply a stream of constant values to imap or izip. For example, the following computes the sum of powers-of-two: sum(imap(pow, repeat(2), xrange(10)))
.
The repeat itertool can also be used to speed-up a for-loop that doesn't need a changing variable. For example, Guido used this technique to minimize looping overhead in the timeit module: http://hg.python.org/cpython/file/40e1be1e0707/Lib/timeit.py#l188
To answer your other question, "are there any reasons to use a while-loop". The answer is yes. Python's for-loop is really a foreach that consumes iterators to produce a stream of values. In contrast, a while-loop is either unbounded (as in the while-True example) or terminated when a specific condition is met (for example, looping over user inputs until the user types "quit" or somesuch).
The contrasting capabilities of while-loops and for-loops can be seen in the example of the Collatz conjecture where the while-loop cannot be easily replaced with a for-loop:
def collatz(n):
print n
while n > 1:
n = n // 2 if n % 2 == 0 else n * 3 + 1
print n
Many more examples and use cases for while-loops can be seen by grepping over Python's standard library.
In summary, the while-statement is an essential part of your toolkit :-)