[Numpy-discussion] Ironclad 0.8 released
Thu Jan 29 21:42:29 CST 2009
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.
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
> 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:
> I would also recommend this nice & straightforward video
> Kind regards,
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