Colin> ... perhaps faster than numpy:
...
For extremely short lists, but not for much else:
% for n in 1 10 100 1000 10000 100000 ; do
> echo "len:" $n
> echo -n "numpy: "
> python -m timeit -s 'import numpy ; a = numpy.array(range('$n'))' 'a*3'
> echo -n "list: "
> python -m timeit -s 'a = range('$n')' '[3*x for x in a]'
> done
len: 1
numpy: 100000 loops, best of 3: 11.7 usec per loop
list: 1000000 loops, best of 3: 0.698 usec per loop
len: 10
numpy: 100000 loops, best of 3: 11.7 usec per loop
list: 100000 loops, best of 3: 2.94 usec per loop
len: 100
numpy: 100000 loops, best of 3: 12.1 usec per loop
list: 10000 loops, best of 3: 24.4 usec per loop
len: 1000
numpy: 100000 loops, best of 3: 15 usec per loop
list: 1000 loops, best of 3: 224 usec per loop
len: 10000
numpy: 10000 loops, best of 3: 41 usec per loop
list: 100 loops, best of 3: 2.17 msec per loop
len: 100000
numpy: 1000 loops, best of 3: 301 usec per loop
list: 10 loops, best of 3: 22.2 msec per loop
This is with Python 2.4.5 on Solaris 10. YMMV.
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Skip Montanaro - s...@pobox.com - http://smontanaro.dyndns.org/
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