On Sun, Dec 5, 2010 at 5:28 AM, Ralf Gommers <span dir="ltr">&lt;<a href="mailto:ralf.gommers@googlemail.com">ralf.gommers@googlemail.com</a>&gt;</span> wrote:<br><div class="gmail_quote"><blockquote class="gmail_quote" style="margin: 0pt 0pt 0pt 0.8ex; border-left: 1px solid rgb(204, 204, 204); padding-left: 1ex;">

<br><br><div class="gmail_quote"><div class="im">On Sun, Dec 5, 2010 at 3:58 PM, Paul Anton Letnes <span dir="ltr">&lt;<a href="mailto:paul.anton.letnes@gmail.com" target="_blank">paul.anton.letnes@gmail.com</a>&gt;</span> wrote:<br>

<blockquote class="gmail_quote" style="margin: 0pt 0pt 0pt 0.8ex; border-left: 1px solid rgb(204, 204, 204); padding-left: 1ex;">
<p>Mabe I am wrong somehow, but in my experience the easiest install of scipy is &#39;port install py26-scipy&#39;. For new users, I do not see why one would recommend to build manually from source? Macports can do it for you, automagically...</p>




<p></p></blockquote></div><div>Well, by far the easiest method is to just grab a binary installer.  The other choices you have are build from source, or try to use Macports/Fink/Homebrew/easy_install/pip/buildout-recipe/&lt;your-favorite-solution-here&gt;. Those all rely on source builds as well, they&#39;re just hiding the details. Which makes things way more confusing when something goes wrong. <br>


<br>About Macports specifically, I haven&#39;t tried in a few years but certainly don&#39;t remember things always working out of the box. And AFAIK Homebrew is a replacement for Macports for many people because the latter was issues.<br>


<br>Cheers,<br><font color="#888888">Ralf<br><br></font></div></div></blockquote><div><br>I did a Macports install of numpy/scipy/matplotlib on my wife&#39;s macbook a few months ago just because I was curious.  Besides the fact that it took forever (it had trouble obtaining the various compilers from the servers, and it did a full-blown ATLAS tuning and compiling...) it did eventually install and work.<br>

<br>YMMV,<br><br>Ben Root<br><br></div></div>