From 15394324a2e8c5fbb5c0af02854fd09f06e73c4a Mon Sep 17 00:00:00 2001
From: Valentin Haenel <valentin.haenel@gmx.de>
Date: Thu, 21 Feb 2013 22:04:28 +0100
Subject: [PATCH] collect all Python distributions under 'Resources'

Also add a short section introduction about the purpose of this section.
---
 docs/scenarios/scientific.rst | 33 ++++++++++++++++++---------------
 1 file changed, 18 insertions(+), 15 deletions(-)

diff --git a/docs/scenarios/scientific.rst b/docs/scenarios/scientific.rst
index 2e73971..3b1da87 100644
--- a/docs/scenarios/scientific.rst
+++ b/docs/scenarios/scientific.rst
@@ -52,6 +52,24 @@ users to Python.  Many examples, along with the source code to re-create them,
 can be browsed at the `matplotlib gallery
 <http://matplotlib.sourceforge.net/gallery.html>`_.
 
+Resources
+:::::::::
+
+Installation of scientific  Python packages can be troublesome. Many of these
+packages are implemented as Python C extensions which need to be compiled.
+This section lists various so-called Python distributions which provide precompiled and 
+easy-to-install collections of scientific Python packages.
+
+Unofficial Windows Binaries for Python Extension Packages
+---------------------------------------------------------
+
+Many people who do scientific computing are on Windows. And yet many of the
+scientific computing packages are notoriously difficult to build and install.
+`Christoph Gohlke <http://www.lfd.uci.edu/~gohlke/pythonlibs/>`_ however, has
+compiled a list of Windows binaries for many useful Python packages. The list
+of packages has grown from a mainly scientific python resource to a more
+general list. It might be a good idea to check it out if you're on Windows.
+
 Enthought
 ---------
 
@@ -62,18 +80,3 @@ Enthought, scientific python has never been easier (one click to install about
 variants: a free version `EPD Free <http://enthought.com/products/epd_free.php>`_
 and a paid version with various `pricing options.
 <http://enthought.com/products/epd_sublevels.php>`_
-
-
-Resources
-:::::::::
-
-Many people who do scientific computing are on Windows. And yet many of the
-scientific computing packages are notoriously difficult to build and install.
-`Christoph Gohlke <http://www.lfd.uci.edu/~gohlke/pythonlibs/>`_ however, has
-compiled a list of Windows binaries for many useful Python packages. The list
-of packages has grown from a mainly scientific python resource to a more
-general list. It might be a good idea to check it out if you're on Windows.
-
-For a quick introduction to scientific python:
-
-http://scipy-lectures.github.com