Thank you very much for the explanation Jeff! For my current prototype I have added the IronPython's MSI to the bootstrapper; and the NumPy's \DLLs and \Lib folders to my products's dir; and then I setup the host library path with both IronPython's folders and the app's \DLLs and \Lib. It seems to be working nicely.
Just as a curiosity, a small weird thing I saw with NumPy was this issue: http://stackoverflow.com/questions/5526151/ironpython-invocation-from-c-sharp-with-scipy-fails-with-importexception-no . But I added the reference and it works now. Thanks a lot! Best regards! Mello On Tue, May 8, 2012 at 12:47 PM, Jeff Hardy <jdha...@gmail.com> wrote: > On Tue, May 8, 2012 at 6:11 AM, Cesar Mello <cme...@gmail.com> wrote: > > Hi! > > > > Please I would like to know if there is any recommendation for embedding > > Python libraries together with IronPython in applications. I'm asking > this > > just to know if there is a path to follow towards some "ecosystem" > regarding > > Python libraries distribution. > > The standard home for Python packages is PyPI (aka "the Cheeseshop") - > http://pypi.python.org. Python packaging in general is handled the > standard distutils library, and the setuptools/distribute extensions > (most of which are folded into distutils2, now known as 'packaging' in > Python 3.3). Installation is done with easy_install (part of > setuptools/distribute) or pip. > > One thing I'll give the Ruby guys - they got the gem ecosystem in > place early and stuck with it. > > Now, IronPython doesn't support a lot of this right now. distribute > and pip mostly work (there are a couple of tiny patches needed to them > that I need to work on), but most of the pypi packages are bz2, which > was a problem until I added bz2 a couple of days ago. Getting > distribute and pip (and maybe virtualenv) working is one of my goals > for 2.7.3. > > > > > I have seen there is an installer for NumPy based on ironpkg here: > > http://www.enthought.com/repo/.iron/ > > > > Should that be a recommended approach to follow? > > That was a one-off created by Enthought for distributing NumPy. I > don't think there's much reason to use it. > > Since I know you want to include the libraries, the easiest way (for > now) would be to use a clean CPython installation and use easy_install > to add the necessary packages (they are stored in Lib/site-packages). > Then copy the site-packages directory into the IronPython stdlib so > that it can all be deployed together. > > - Jeff >
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