Yes, I can confirm that SciKarl really is a 1 click Mack install.
Works like a charm. No hassle at all.

However 3D plotting does not work yet (but should in the next release
if I understood correctly).

Cheers,
Michiel

On Thu, Oct 29, 2009 at 9:29 AM, Karl Glazebrook <[email protected]> wrote:
>
> Errr about 'one click Mac installs' - did you try SciKarl ?
>
> Karl
>
>
>
> On 29/10/2009, at 3:42 PM, P Kishor wrote:
>>
>> Since you asked --
>>
>> I approached PDL a few months ago with an incredible amount of
>> enthusiasm. To me, it seemed like it would answer all my questions. It
>> would replace IDL, it would provide a familiar and completely free
>> platform to do all my scientific analysis. And, from there, it went
>> bad. I just never could install the darn thing easily on my Mac. Many
>> of you very kindly gave me your time and advice. I am very
>> appreciative of all that, but the reality is, the first step itself
>> was just way too difficult. I wasted so much of my energy and effort
>> getting the thing to install on my laptop, I never really got the
>> courage to pursue PDL for other analysis work. I tried to do some 3D
>> surface plotting, but gave up quicker than I thought of it. Went to R,
>> and with a few keystrokes, I had a working model 2 different ways.
>> Even IDL was a single click install.
>>
>> I have kept my subscribed to the list, because I love reading about
>> the developments, and reading the code that others write, hoping to
>> learn from it. But, mostly, I am simultaneously appreciative of the
>> hard work of the developers, and full of trepidation at the torture
>> that PDL installation continues to seem to be.
>>
>> I don't really care about the footprint or the dependencies. Disk
>> space is cheap, memory is cheap. What is not cheap is my (or anyone
>> else's) time. I want a robust, preferably single-click (single CPAN
>> command) install that I know will work reliably on my Mac, and on any
>> other Mac that I transfer to (one nice thing about Macs and Windows is
>> that once you get something working on one machine, you are pretty
>> much guaranteed to have it work on other machines, provided the CPU
>> and OS version doesn't change).
>>
>> Once again, I have a tremendous appreciation for the developers, and a
>> lot of, but guarded, amazement at what PDL purports to do. For now, I
>> don't have the first hand experience doing anything with PDL other
>> than installing it rather painfully.
>>
>> Yes, I do hear a lot about Numpy and Scipy (a bunch of hackers here at
>> Wisc are heavily into Python). Frankly, Python bores me to tears, so I
>> will probably stick to IDL until PDL comes home. :-)
>>
>> Here's hoping.
>>
>>
>>> David
>>>
>>> P.S.  I saw a paper comparing Numpy, PDL, hand-rolled C code, and
>>> plain Perl
>>> and Python code for computing a numerical integral.  Plain old
>>> Python and
>>> Perl were terribly slow, but Python had two distinct numerical
>>> libraries,
>>> Numpy and something else.  I was jealous.  So I don't think it's
>>> necessarily
>>> bad that Perl has a second numerical data processing project
>>> springing into
>>> existence.
>>>
>>> _______________________________________________
>>> Perldl mailing list
>>> [email protected]
>>> http://mailman.jach.hawaii.edu/mailman/listinfo/perldl
>>>
>>>
>>
>>
>>
>> --
>> Puneet Kishor http://www.punkish.org
>> Carbon Model http://carbonmodel.org
>> Charter Member, Open Source Geospatial Foundation http://www.osgeo.org
>> Science Commons Fellow, http://sciencecommons.org/about/whoweare/
>> kishor
>> Nelson Institute, UW-Madison http://www.nelson.wisc.edu
>> -----------------------------------------------------------------------
>> Assertions are politics; backing up assertions with evidence is
>> science
>> =
>> ======================================================================
>> Sent from Madison, WI, United States
>>
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>> [email protected]
>> http://mailman.jach.hawaii.edu/mailman/listinfo/perldl
>
>
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