On Saturday, June 28, 2014 5:14:39 AM UTC+5:30, Paul Sokolovsky wrote: > Hello,
> On Fri, 27 Jun 2014 16:25:02 -0700 (PDT) > CM wrote: > > (Trying again, simpler and cleaner post) > > Can I use Nuitka to transform a wxPython > > GUI application in Python that uses several > > 3rd party modules into a small and faster > > compiled-to-C executable? > Yes, you can. So, please try that, and report how that went. We're > eager to know how that would go very much. But unlike you, we don't > have need to transform wxPython GUI application in Python into > an executable. So, you are in the best position to answer your question. > And surprisingly, both Nuitka and PyPy are free, so you won't need to > shell out few $Ks to try it, or wear your suit, hop on the plane, and > go to another side of the country (or world) and spend many hours in > negotiations to get an evaluation license. Just download and try. > Unbelievable, how world has changed in some 30-40 years! All true... However programming is engineering and programmers can suffer severe paradox of choice if there's too much to choose from. Going back along a different track by a couple of decades: 20 years ago python pushed the envelope of being a sweet combination of being a serious system programming+lightweight scripting language at the same time. Today there are other choices¹: - There are new languages that outright set out to be be as efficient as C/FORTRAN -- eg Julia. - A whole crop of new languages that are striving to plough back (some of) scripting convenience into the compiled language mold -- eg Swift, Go Languages that handle modern multicore hardware appropriately -- Erlang And finally functional programming has come of age. So eg one of Haskell's agendas is to beat C/Fortran's performance: | Remarkably, our benchmarks show that choosing the proper stream | representations can result in machine code that beats | compiler-vectorized C, and that is competitive with hand-tuned | assembly. -- | From http://research.microsoft.com/en-us/um/people/simonpj/papers/ndp/haskell-beats-C.pdf tl;dr: If no one speaks up (with hard specific data!) for the technologies you are considering (eg PyPy, Nuitka etc) then I would conclude that they are not yet ready for prime-time/ your use-case ¹ Yeah that seemingly adds to the paradox of choice problem!! -- https://mail.python.org/mailman/listinfo/python-list
