Hi Tim Thank you for your interest! To answer your various questions order of approximately increasing complexity:
Most importantly: the currently available version of Resolver One does not have numpy support built in, and for various reasons I wouldn't advise trying to integrate Ironclad with v1.3; please wait for 1.4 :-). I just downloaded R and rpy2; they don't work with Ironclad at the moment, and I'm not yet sure why. Ironclad shouldn't require any special installation: just copy the ironclad package (containing __init__.py, python25.dll and ironclad.dll) to wherever you normally put packages for IronPython (I personally have my IRONPYTHONPATH pointing to the appropriate subdirectories of a standard Python 2.5 install). Clearly my documentation is currently inadequate; I'll have to work on that for the next release. RO uses .NET DateTime objects by default, but it's perfectly possible to use python datetime objects instead; I can confirm that you can put both those datatypes into numpy arrays. While RO doesn't have an explicit CSV/TSV import option, you should be able to paste data in those formats directly into your worksheets; and, as soon as we have numpy integration out in the wild, you should be able to create ndarrays directly from your data files. Scipy support is coming along surprisingly nicely; I'd sort of forgotten about it until a couple of people asked me about it earlier today, and it turns out -- to my surprise and delight -- that it took very little work to get the SVN head running over 800 of the scipy tests (even if you can't just 'import scipy' without errors). Sadly, a lot of the modules seem to use scipy.sparse, which I can't import... yet ;-). So, we haven't built any scipy support into Resolver One yet, but hopefully we'll be able to do so without too much pain. Finally, I'm glad you like my screencast :-). I hope I haven't missed anything; let me know if I have, or if I can help with anything else. William On 29 Jan 2009, at 23:46, Tim Michelsen wrote: > Hello William, > >> * A few performance improvements. >> * Over 900 NumPy tests now pass: in fact, almost all the tests >> from the core, fft, lib, linalg, ma, oldnumeric and random >> subpackages. > I have some questions here for the science interested. I hope that > they are not too specific: > > * Can you also use scipy with IronClad/ResolverOne (RO)? > * Can you recognize arrays with datetime objects in RO? > * How is datetime information handled in RO? > * What about rpy? > > If all the above were working in RO, it would be terrific! > >> Ironclad grows more stable and mature with every release, and I >> urge IronPython users to try it out and share their impressions: >> feedback, whether positive or negative, is always welcomed. > You may find some information here: > http://groups.google.com/group/python-excel/msg/eb349c229696c7f7 > > I would also recommend this nice & straightforward video > http://www.resolversystems.com/screencasts/numpy/ > > Kind regards, > Timmie _______________________________________________ Numpy-discussion mailing list [email protected] http://projects.scipy.org/mailman/listinfo/numpy-discussion
