Walter Prins wrote:
As for the compiler/interpreter argument, I'll just point out again that
actually Python in its various forms can either be compiled and/or
interepreted, it depends on you really. For compiled Python flavours, see
for example Cython (http://cython.org/) which provides a way to write C/C++
modules for Python effectively in Python syntax. (Cython arguably also
makes the "need to write wrapper" comment a moot point.)
Cython is not Python. It is a separate language similar to Python, based
on Python, but not actually Python. It's actually a superset of Python.
Any Python code should be legal in Cython, but not all Cython code is
legal in Python.
See, for example:
http://docs.cython.org/src/userguide/tutorial.html#primes
and notice that the Cython code:
def primes(int kmax):
cdef int n, k, i
cdef int p[1000]
# ...
gives you a SyntaxError in Python.
Credit where credit is due: Cython is a wonderful tool and very useful
to anyone wanting to write C extensions for Python, but it isn't Python.
That's not a limitation or a bad thing: it couldn't do what it sets out
to do if it were Python.
Or see Shedskin (
http://shed-skin.blogspot.com/), a Python to C++ static compiler),
Shedskin, on the other hand, is a subset of Python: it can only work
with a restricted set of Python features. So also not Python.
http://code.google.com/p/shedskin/
But still a very useful and valuable tool.
or Psyco
(http://psyco.sourceforge.net/introduction.html ), a JIT (Just In Time)
compiler for CPython.
Psyco, on the other hand, is an add-on to Python: it runs inside the
CPython compiler, as an importable module, rather than being a separate
Python interpreter.
Or see Pypy (http://pypy.org/) which is another
reimplementation of the Python language with an optimizing JIT compiler.
(The following post re realtime image processing in Python is rather
impressive:
http://morepypy.blogspot.com/2011/07/realtime-image-processing-in-python.html)
PyPy is very impressive, and it truly is an independent implementation
of Python, like CPython, Jython, IronPython and Stackless. It is faster
than CPython (although requires more memory) and in certain restricted
micro-benchmarks faster than C.
Yes, faster than C.
http://morepypy.blogspot.com/2008/01/rpython-can-be-faster-than-c.html
http://morepypy.blogspot.com/2011/02/pypy-faster-than-c-on-carefully-crafted.html
http://morepypy.blogspot.com/2011/08/pypy-is-faster-than-c-again-string.html
This just goes to show that *languages* aren't faster or slower than
other languages. Languages just are. But *implementations* can be faster
or slower.
--
Steven
_______________________________________________
Tutor maillist - Tutor@python.org
To unsubscribe or change subscription options:
http://mail.python.org/mailman/listinfo/tutor
