Hi
are there any future perspectives for Python to be as fast as java? i
would like to use Python as a language for writing games.
best regards
krystian
53  3444 
In article <hh************ *************** *****@4ax.com>,
Krystian <no****@this.ho me.com> wrote:
are there any future perspectives for Python to be as fast as java? i
would like to use Python as a language for writing games.
Why would we want Python to be as fast as Java when it's already faster?
Take a look at PyGame.
--
Aahz (aa**@pythoncra ft.com) <*> http://www.pythoncraft.com/
"Don't listen to schmucks on USENET when making legal decisions. Hire
yourself a competent schmuck." --USENET schmuck (aka Robert Kern)
Hi are there any future perspectives for Python to be as fast as java? i
would like to use Python as a language for writing games.
Why would we want Python to be as fast as Java when it's already faster?
hm... i came across this site:
http://shootout.alioth.debian.org/be...n&sort=fullcpu
could you take an attitude with regard to this benchmark?
Take a look at PyGame.
on my way :)
best
k
Krystian wrote: Hi
are there any future perspectives for Python to be as fast as java? i
would like to use Python as a language for writing games.
Why would we want Python to be as fast as Java when it's already faster?
hm... i came across this site:
http://shootout.alioth.debian.org/be...n&sort=fullcpu
could you take an attitude with regard to this benchmark?
Benchmarks are worthless. By that I mean they have no value
to me. What matters is the performance on real problems, such
as generating the 1st 6th Generation Type [1,2] Mersenne Hailstone
Collatz sequence.
That's a BIG number and needs BIG arithmetic to solve. Java has
a BigInteger module and can solve it in less than 10 minutes:
C:\Python23\use r\pyjava>java Collatz 2 177149 1
Processing time: 571690
x/2 iterations: 1531812
3x+1 iterations: 854697
The arguments evaluate to 2**177149-1. And because this is a
Mersenne number, the sequence diverges until it's over 280000 bits
before converging to 1 bit after 2386509 iterations.
But is 571 seconds a reasonable amount of time for such a difficult
problem?
Compare it to Python with the GMPY module:
C:\Python23\use r\pyjava>collat z.py 2 177149 1
r1 1531812 r2 854697 in 72.9869999886 seconds
Yes, it would appear that in this real world application Java is
ridiculously slow. Of course, Python is doing the heavy lifting
with GMPY which is a compiled C program with a Python
wrapper. But so what? Maybe the reason I use Python is
BECAUSE the math module is compiled C. Duh. With Python/GMPY
I get the high level power I need for the algorithms without
sacrificing the low level muscle I need for the heavy arithmetic.
Take a look at PyGame.
on my way :)
best
k
"Krystian" <no****@this.ho me.com> wrote in message
news:hh******** *************** *********@4ax.c om... Hi
are there any future perspectives for Python to be as fast as java?
Sure, if/when Python becomes as water-logged with obtruse OO-layers as Java
is now.
Python is faster than Java.
Because Python per design generally is a thin layer of glue poured over
binary C modules, it does not take very many instructions before one hits
the fastest speed that the platform can go at. I would test it, then worry
about it.
i would like to use Python as a language for writing games.
From the speed requirement: Is that correspondance chess by any chance??
Frithiof Andreas Jensen wrote:
From the speed requirement: Is that correspondance chess by any chance??
Regular chess at tournament time controls requires speed too. Any pure
Python chess program would lose badly to the best C/C++ programs out
there now.
I would also like to see Half Life 2 in pure Python.
/David
>I would also like to see Half Life 2 in pure Python.
or even quake1, do you think it could have any chances to run
smoothly? or maybe demoscene productions...
Dr. Armin Rigo has some mathematical proof, that High Level Languages
like esp. Python are able to be faster than low level code like
Fortran, C or assembly.
I am not wise enough to understand that proof.
Maybe I understood those papers totally wrong and he was saying
something totally different.
But whatever, the pypy-team is formed out of some more people of his
calibre and founded by the European Union to provide "butter by the
fish", say, to produce real code that may deliver that promise.
And I could see real development just from watching the BDFL: 3 years
ago PyPy was 2000times slower then CPython, and Guido was joking "and
that number is growing", this year there were not officially negated
romours that sometime maybe PyPy could be the reference implementation
of Python; and also reports that PyPy is only 18 times slower then
CPython.
For the time being, my Python programs just sit and wait for database,
network, user input or the acting of COM-Applications like Excel or
Winword. Sometimes I even have 3 threads, one to wait for user, one for
database and one to wait for Excel - boy, I wait fast!
But on the other hand, I do no real world applications like triple
mersenne first person shooters, only business software like the one
which in earlier time was written in COBOL or carved into cave walls.
Less challenge, higher reward.
Harald
Harald Armin Massa wrote: Dr. Armin Rigo has some mathematical proof, that High Level Languages
like esp. Python are able to be faster than low level code like
Fortran, C or assembly.
Faster than assembly? LOL... :)
/David
David Rasmussen wrote: Harald Armin Massa wrote:
Dr. Armin Rigo has some mathematical proof, that High Level Languages
like esp. Python are able to be faster than low level code like
Fortran, C or assembly.
Faster than assembly? LOL... :)
I think the claim goes something along the lines of "assembly is so hard
to get right that if you can automatically generate it from a HLL, not
only will it be more likely to be correct, it will be more likely to be
fast because the code generator can provide the appropriate optimizations".
OTOH, you can almost certainly take automatically generated assembly
code and make optimizations the code generator wasn't able to, thanks to
knowing more about the real semantics of the program.
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