Is anyone working on a python-to-native compiler?
I'd be interested in taking a look.
Come to think of it, is anyone working on a sexpr-enabled version of
Python, or anything similar? I really miss my macros whenever I try to
use it...
58  4025 
Svein Ove Aas wrote: Is anyone working on a python-to-native compiler?
I'd be interested in taking a look.
Come to think of it, is anyone working on a sexpr-enabled version of
Python, or anything similar? I really miss my macros whenever I try to
use it...
Lots of past threads on this, including this one: http://groups.google.com/groups?&th=8f7b4867334c3d07
(Short answers: no, maybe, look at Psyco, PyPy, and others...)
-Peter
Svein Ove Aas wrote:
Is anyone working on a python-to-native compiler?
I'd be interested in taking a look.
Come to think of it, is anyone working on a sexpr-enabled version of
Python, or anything similar? I really miss my macros whenever I try to
use it...
I really wish there was a python-to-native compiler, a good one that
would produce fairly fast execution.
Mitchell Timin
--
"Many are stubborn in pursuit of the path they have chosen, few in
pursuit of the goal." - Friedrich Nietzsche http://annevolve.sourceforge.net is what I'm into nowadays.
Humans may write to me at this address: zenguy at shaw dot ca
Svein Ove Aas wrote: Is anyone working on a python-to-native compiler?
I'd be interested in taking a look.
What are you trying to achieve?
If it's faster code execution, the primary slowdown with a very
high-level language like Python is caused by high-level data structures
(introspection, everything being an object, etc.), not the code itself.
A native compiler would still have to use high-level data structures to
work with all Python code, so the speed increase wouldn't be very much.
If it's ease of distribution you're looking for, I think distutils can
make standalone programs on Windows, and most Linux distros have Python
installed by default.
If you just think a compiler would be cool (or would like to see how it
would be done), check out Psyco, Pyrex, and probably some other
projects. Pyrex even combats the speed issue by allowing native C types
to be used in addition to Python high-level types.
Svein Ove Aas wrote: Is anyone working on a python-to-native compiler?
I'd be interested in taking a look.
Come to think of it, is anyone working on a sexpr-enabled version of
Python, or anything similar? I really miss my macros whenever I try to
use it...
look at starkiller http://www.python.org/pycon/dc2004/papers/1/
The first step is to create a Type Inference system so there is star killer.
Michael Salib said he is working on a C++ translation for python...
--
Yermat
Leif K-Brooks wrote: Svein Ove Aas wrote: Is anyone working on a python-to-native compiler?
I'd be interested in taking a look.
What are you trying to achieve?
If it's faster code execution, the primary slowdown with a very
high-level language like Python is caused by high-level data structures
(introspection, everything being an object, etc.), not the code itself.
A native compiler would still have to use high-level data structures to
work with all Python code, so the speed increase wouldn't be very much.
I'd like to point out the usual suspects: Lisp compilers.
*They* somehow manage to get within 2x of C++ speed, so why can't Python?
If it's ease of distribution you're looking for, I think distutils can
make standalone programs on Windows, and most Linux distros have Python
installed by default.
Nope.
If you just think a compiler would be cool (or would like to see how it
would be done), check out Psyco, Pyrex, and probably some other
projects. Pyrex even combats the speed issue by allowing native C types
to be used in addition to Python high-level types.
Erk.
Seems to me that you want 'smarter', not 'worse'. I can't take a language
seriously if it says that 1/3 is 0.33333... .
Svein Ove Aas wrote: Erk.
Seems to me that you want 'smarter', not 'worse'. I can't take a language
seriously if it says that 1/3 is 0.33333... .
What is that? Are you arguing for an integer result, a fixed result or
a rational result?
Cheers,
Brian
Svein Ove Aas <sv************ @brage.info> writes: Leif K-Brooks wrote:
Svein Ove Aas wrote: Is anyone working on a python-to-native compiler?
I'd be interested in taking a look.
What are you trying to achieve?
If it's faster code execution, the primary slowdown with a very
high-level language like Python is caused by high-level data structures
(introspection, everything being an object, etc.), not the code itself.
A native compiler would still have to use high-level data structures to
work with all Python code, so the speed increase wouldn't be very much.
I'd like to point out the usual suspects: Lisp compilers.
*They* somehow manage to get within 2x of C++ speed, so why can't Python?
Type declarations. Lots of effort by seriously smart cookies.
We're working on the latter :-)
Cheers,
mwh
-- say-hi-to-the-flying-pink-elephants-for-me-ly y'rs,
No way, the flying pink elephants are carrying MACHINE GUNS!
Aiiee!! Time for a kinder, gentler hallucinogen...
-- Barry Warsaw & Greg Ward, python-dev
Leif K-Brooks <eu*****@ecritt ers.biz> writes: Svein Ove Aas wrote: Is anyone working on a python-to-native compiler?
I'd be interested in taking a look.
What are you trying to achieve?
If it's faster code execution, the primary slowdown with a very
high-level language like Python is caused by high-level data
structures (introspection, everything being an object, etc.), not the
code itself. A native compiler would still have to use high-level data
structures to work with all Python code, so the speed increase
wouldn't be very much.
Oh please !
Native compilers for other languages just as dynamic as Python
exist. These compilers manage to achieve very significant speed
increases[*].
Psyco is a native compiler, of sorts, for Python, and it manages to
produce dramatic improvements (in the areas where it works).
While it's true that often speed doesn't matter, and many of the
criticisms levelled at Python for being too slow are completely
unfounded in real world situations, this is no reason for Pythonistas
to
a) be happy about the fact that Python is slow,
b) be convinced that Python _must_ be slow.
The sooner "we" stop believing that Python's flexibility comes at the
unavoidable cost of piss-poor runtime performance, and the sooner we
accept that it would be useful to have a Python which maintains its
flexibility but runs like a bat out of hell (ie, the sooner we stop
making excuses for Pythons lack of speed), the sooner we will get one.
Fortunately there is already a bunch of people who understand this,
and is trying to do something about it.
[*] A prime example is the Common Lisp implementation CMUCL. Ironically
enough, CMUCL's compiler is called ... Python.
In article <40************ ***@shaw.ca>, <Se******@SeeBe low.Nut> wrote:
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