"Ark" <cloudneoz...@gmail.com> wrote
It's a simple program to sum all the numbers from 0 to 1000000000.
result = i = 0
while i < 1000000000:
result += i
i += 1
print result
The time for this calculations was huge. It took a long time to give
the result. But, the corresponding program in Java takes less than 1
second to end.
That's astonishing, it implies your PC is running at around 20GHz!
I want one! :-)
But Python will always be much slower for this kind of thing since Pythons
integers are very different to Java ints (BTW did Java returtn an int or
a float result?) Using something like psycho should yield a big improvement
I suspect. Also some of the math libraries may have a native C summing
function for large arrays. Even the built in sum() will be faster than a while
loop:
result = sum(range(1000000000))
although it still took 10 minutes on my PC.
And if in Java, we make a simple type check per cycle,
it does not take more than 10 seconds in the same machine.
That would be more like the kind of figure I'd expect.
Remember the time increases exponentialy. In my tests Python
was sub 1s up to 10**7 then 10s for 10**8 and 600s for 10**9 )
Memory speed will play a big role here too since Pythons storage
of large integers requires a lot of memory allocating/deallocating
compared to Java which uses native CPU integers
I was not expecting Python to be faster than Java, but it''s too slow.
For this kind of task yes. It was never designed for high speed
number crunching. Thats why dedicated math modules have been
written in C.
Java optimizes this case and Python doesn't. Not sure about this.}
The approaches are completely different. Java uses native ints,
Python uses arbitrarily long ints. Java's JVM will map closely
to native CPU operations, Python is effectively calling functions.
This is almost a pathalogical case for comparing the two languages.
--
Alan Gauld
Author of the Learn to Program web site
http://www.alan-g.me.uk/
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