I'll try to do my best to answer this. 1) Because a large is dynamically typed, doesn't mean you can't do any verification on the code. Michael Foord told me about PyFlakes (http://divmod.org/projects/pyflakes) and PyLint (http://pypi.python.org/pypi/pylint) which can do static analysis on the code to identity protential problems.
2) If by native code you mean something like C++, then I expect so. Most languages are slower than C++, and it comes down to CPU cycles vs Developer Cycles. I'm sure developers are much more productive in Python than C++. Guess it depends on your application, but Python is running on lots of high performance systems so I don't really think its a problem. 3) Not sure if I understand your question. You can compile Python into bytecode. Compiled Python code are .pyc, http://www.network-theory.co.uk/docs/pytut/CompiledPythonfiles.html In 1.0, there was a sample of how to do this: http://www.codeplex.com/Release/ProjectReleases.aspx?ProjectName=IronPython&ReleaseId=423 However, at the moment this is not supported in 2.0 (http://lists.whatwg.org/pipermail/users-ironpython.com/2008-February/006507.html) Ben On Wed, May 14, 2008 at 4:13 PM, Ben Aurel <[EMAIL PROTECTED]> wrote: > hi > I have two questions on two different subject but anyhow connected. Also I > have to admit that I could probably find the answers myself. But I'm quite > new to all that things and I have a lot to catch up to... > > If I understand correctly the are 2 main advantages when it comes to dynamic > languages: > + Objects doesn't have to be typed be the developer > (saves time, makes code shorter and better readable code) > + Code is interpreted > (no compilation step during development, source dont have to be compiled > for the target machines before deployment) > > which implies the 2 following disadvantages > - Writing a lot of tests to catch potential runtime errors (no compile time) > - Slower than native code > > Questions: > > 1. Why belong the terms "untyped" and "interpreted" somehow together? Why > can't the type inference that has to be done at runtime not be done at > compiletime. I think the runtime interpreter has to compile the python > bytecode to native code somehow - no? > Why isn't there a possibility to *compile* python/ruby/perl/... code to > native code at the first place? > > 2. I've read about, that it is possible to compile Python Code to msil with > IronPython. Unfortunately I'm not yet at the point where this run on my > machine (macosx). So I do have to ask you: Is such a dll/exe the same as I > would compile it from c#? Does similar language constructs (eg. for loop, > class object creation) the same performance? > > Thanks in advance. > Ben > > > > One of the list members - Ben Hall - pointed me at one of his blog posts > [1]. > > > > > > http://blog.benhall.me.uk/2008/05/ironpython-classes-within-separate.html > > _______________________________________________ > Users mailing list > [email protected] > http://lists.ironpython.com/listinfo.cgi/users-ironpython.com > _______________________________________________ Users mailing list [email protected] http://lists.ironpython.com/listinfo.cgi/users-ironpython.com
