From chris@kx.com  Thu Mar 14 23:21:38 2013
Received: from mx.cims.nyu.edu (mx.cims.nyu.edu [128.122.49.99])
	by mail.cims.nyu.edu (8.14.5+Sun/8.14.5) with ESMTP id r2F3LccB000801
	for <shasha@mail.cims.nyu.edu>; Thu, 14 Mar 2013 23:21:38 -0400 (EDT)
Received: from mail-ee0-f42.google.com (mail-ee0-f42.google.com [74.125.83.42])
	by mx.cims.nyu.edu (8.14.4+Sun/8.14.4) with ESMTP id r2F3LZiO009314
	for <shasha@courant.nyu.edu>; Thu, 14 Mar 2013 23:21:36 -0400 (EDT)
Received: by mail-ee0-f42.google.com with SMTP id b47so1351784eek.15
        for <shasha@courant.nyu.edu>; Thu, 14 Mar 2013 20:21:30 -0700 (PDT)
X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed;
        d=google.com; s=20120113;
        h=x-received:mime-version:in-reply-to:references:from:date:message-id
         :subject:to:content-type:x-gm-message-state;
        bh=kzVVXp835XQgh1s46PtaqQM9Ul3Q8wZcB75zPb316R8=;
        b=il3GEkOzXTNwVwk6j15vsxmihAlJDbw7RDQ5qbzRWZDfo2/FEWuqVG3RAYH0vWiVPU
         bARWhdRu7YkRMxVACn6MnggYSujWMowxvJuScS9uhfGe+3DjCH6FxInwNTfhZRpEf4Qz
         mljK1cZQ979RExGTr5n6qpi+tRdEMiopTtN51rK3I0p2VuIWHn3KF4shxk3ppaTEqC4f
         AFbxdyaLgLerI8WkgwpAu6yBGiRwlGTD4ig9yRIYgFqlFxGwhhe+GVSXdnY0YFx4z/37
         IrC5kYPqZtJJjtnlqKYrhPkyYkMv+qcGvKj598mfz/YtvNq6vNpognuOSjNc2J02sE6m
         0siA==
X-Received: by 10.14.0.73 with SMTP id 49mr13500225eea.21.1363317690353; Thu,
 14 Mar 2013 20:21:30 -0700 (PDT)
MIME-Version: 1.0
Received: by 10.14.188.7 with HTTP; Thu, 14 Mar 2013 20:20:49 -0700 (PDT)
In-Reply-To: <CAOAyECMhrOWm1zG1y--qDGfPN0+EWagnKxBMmrD3xcOAfQCs0Q@mail.gmail.com>
References: <201303121410.r2CEAVjM016189@crunchy12.cims.nyu.edu> <CAOAyECMhrOWm1zG1y--qDGfPN0+EWagnKxBMmrD3xcOAfQCs0Q@mail.gmail.com>
From: Chris Burke <chris@kx.com>
Date: Fri, 15 Mar 2013 11:20:49 +0800
Message-ID: <CAOAyECPPWAo1go+Jaq-ExkvZSRt9wMYGmSDEcq35kcmQh8Bnog@mail.gmail.com>
Subject: Re: q for smarties
To: Dennis Shasha <shasha@courant.nyu.edu>
Content-Type: multipart/mixed; boundary=047d7b60525ea67de604d7ee2256
X-Gm-Message-State: ALoCoQmi0kEb+0zPjegAMbEa1E06hiTF4n7dZeaXO4qn3K+Pw7gLSF4b5i3hXoipZhSoJAGeRwuw
X-Greylist: Sender IP whitelisted, not delayed by milter-greylist-4.4.1 (mx.cims.nyu.edu [128.122.49.99]); Thu, 14 Mar 2013 23:21:36 -0400 (EDT)
X-Virus-Scanned: clamav-milter 0.97.4 at mx
X-Virus-Status: Clean
X-Scanned-By: MIMEDefang 2.73 on 128.122.49.99
Status: RO
Content-Length: 35481

--047d7b60525ea67de604d7ee2256
Content-Type: multipart/alternative; boundary=047d7b60525ea67de304d7ee2254

--047d7b60525ea67de304d7ee2254
Content-Type: text/plain; charset=UTF-8

Hi Dennis

The attached was built with gcc 4.7 for R 2.15.3 on osx 10.8.2. This allows
R to connect to a q server from an R client, see examples in the zip.

Regards

Chris

On Wed, Mar 13, 2013 at 9:52 AM, Chris Burke <chris@kx.com> wrote:

> Dennis
>
> Yes, the scripts will work on the mac, though I haven't yet packaged them
> properly for osx.
>
> For excel, you can use the Excel RTD interface from
> http://code.kx.com/wiki/Cookbook/IntegratingWithExcel. Since this
> requires windows, I usually don't show this.
>
> What I use is the R interface, which allows kdb+ as either client or
> server. I haven't tried compiling it on osx, but will try now.
>
> Also, the kdb+ webserver will work on all platforms.
>
> Regards
>
> Chris
>
> On Tue, Mar 12, 2013 at 10:10 PM, Dennis Shasha <shasha@courant.nyu.edu>wrote:
>
>>
>> Chris,
>> Great. I have a mac, but should be able to make this work.
>>
>> Also, do you happen to have any examples that show excel interacting with
>> q, web interacting with q, and python (or some other language) interacting
>> with q?
>>
>> Best,
>> Dennis
>>
>
>

--047d7b60525ea67de304d7ee2254
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: quoted-printable

<div>Hi Dennis</div><div><br></div><div>The attached was built with gcc 4.7=
 for R 2.15.3 on osx 10.8.2. This allows R to connect to a q server from an=
 R client, see examples in the zip.</div><div><br></div><div>Regards</div>

<div><br></div><div>Chris</div><br><div class=3D"gmail_quote">On Wed, Mar 1=
3, 2013 at 9:52 AM, Chris Burke <span dir=3D"ltr">&lt;<a href=3D"mailto:chr=
is@kx.com" target=3D"_blank">chris@kx.com</a>&gt;</span> wrote:<br><blockqu=
ote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1px #ccc s=
olid;padding-left:1ex">

<div>Dennis</div><div><br></div><div>Yes, the scripts will work on the mac,=
 though I haven&#39;t yet packaged them properly for osx.=C2=A0</div><div><=
br></div><div>For excel, you can use the Excel RTD interface from <a href=
=3D"http://code.kx.com/wiki/Cookbook/IntegratingWithExcel" target=3D"_blank=
">http://code.kx.com/wiki/Cookbook/IntegratingWithExcel</a>. Since this req=
uires windows, I usually don&#39;t show this.=C2=A0</div>



<div><br></div><div>What I use is the R interface, which allows kdb+ as eit=
her client or server. I haven&#39;t tried compiling it on osx, but will try=
 now.</div><div><br></div><div>Also, the kdb+ webserver will work on all pl=
atforms.</div>



<div><br></div><div>Regards</div><span class=3D"HOEnZb"><font color=3D"#888=
888"><div><br></div><div>Chris=C2=A0</div></font></span><div class=3D"HOEnZ=
b"><div class=3D"h5"><br><div class=3D"gmail_quote">On Tue, Mar 12, 2013 at=
 10:10 PM, Dennis Shasha <span dir=3D"ltr">&lt;<a href=3D"mailto:shasha@cou=
rant.nyu.edu" target=3D"_blank">shasha@courant.nyu.edu</a>&gt;</span> wrote=
:<br>



<blockquote class=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1p=
x #ccc solid;padding-left:1ex"><br>
Chris,<br>
Great. I have a mac, but should be able to make this work.<br>
<br>
Also, do you happen to have any examples that show excel interacting with<b=
r>
q, web interacting with q, and python (or some other language) interacting<=
br>
with q?<br>
<br>
Best,<br>
Dennis<br>
</blockquote></div><br>
</div></div></blockquote></div><br>

--047d7b60525ea67de304d7ee2254--
--047d7b60525ea67de604d7ee2256
Content-Type: application/zip; name="osx_qserver.zip"
Content-Disposition: attachment; filename="osx_qserver.zip"
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--047d7b60525ea67de604d7ee2256--

