DOC : reorganized/simplified INSTALL

Author: tacaswell

INSTALL

@@ -12,8 +12,11 @@ installed, and how you want to use it.  To avoid wading through all
 the details (and potential complications) on this page, there are several
 convenient options.
 
+Installing pre-built packages
+=============================
+
 Most platforms : scientific Python distributions
-================================================
+------------------------------------------------
 
 The first option is to use one of the pre-packaged python distributions that
 already provide matplotlib built-in.  The Continuum.io Python distribution
@@ -24,88 +27,26 @@ Linux platforms.  Both of these distributions include matplotlib and *lots* of
 other useful tools.  Another excellent alternative for Windows users is
 `Python (x, y) <https://code.google.com/p/pythonxy>`_ .
 
+
 Linux : using your package manager
-==================================
+----------------------------------
 
 If you are on Linux, you might prefer to use your package manager.  matplotlib
 is packaged for almost every major Linux distribution.
 
 * Debian / Ubuntu : ``sudo apt-get install python-matplotlib``
 * Fedora / Redhat : ``sudo yum install python-matplotlib``
 
-Mac OSX - using pip
-===================
+Mac OSX : using pip
+-------------------
 
 If you are on Mac OSX you can probably install matplotlib binaries using the
 standard Python installation program `pip <https://pypi.python.org/pip>`_.
-See :ref:`installing-osx-binaries`.
-
-Manually installing pre-built packages
-======================================
-
-General instructions
---------------------
-
-For some people, the prepackaged pythons discussed above are not an
-option.  That's OK, it's usually pretty easy to get a custom install
-working.  You will first need to find out if you have python installed
-on your machine, and if not, install it.  The official python builds
-are available for download `here <http://www.python.org/download>`_,
-but OS X users please read :ref:`which-python-for-osx`.
-
-Once you have Python up and running, you will need to install `numpy
-<http://www.numpy.org/>`_.  numpy provides high-performance array data
-structures and mathematical functions, and is a requirement for
-matplotlib.  You can test your progress::
-
-    >>> import numpy
-    >>> print numpy.__version__
-
-matplotlib requires numpy version |minimum_numpy_version| or later.
-Although it is not a requirement to use matplotlib, we strongly
-encourage you to install `ipython <http://ipython.org>`_, which is an
-interactive shell for python that is matplotlib-aware.
-
-Next, we need to get matplotlib installed.  We provide prebuilt
-binaries for OS X and Windows on the matplotlib `download
-<http://matplotlib.org/downloads.html>`_.  Click on
-the latest release of the "matplotlib" package, choose your python
-version (2.6, 2.7, 3.3, or 3.4) and your platform (macosx or win32).  If you
-have any problems, please check the :ref:`installing-faq`, search
-using Google, and/or post a question the `mailing list
-<http://sourceforge.net/project/showfiles.php?group_id=80706>`_.
-
-If you are on Debian/Ubuntu linux, it suffices to do::
+See :ref:`install_osx_binaries`.
 
-  > sudo apt-get install python-matplotlib
 
-Instructions for installing our OSX binaries are found in the FAQ
-:ref:`install_osx_binaries`.
-
-
-Once you have ipython, numpy and matplotlib installed, you can use
-ipython's "pylab" mode to have a MATLAB-like environment that automatically
-handles most of the configuration details for you, so you can get up
-and running quickly::
-
-    johnh@flag:~> ipython -pylab
-    Python 2.4.5 (#4, Apr 12 2008, 09:09:16)
-    IPython 0.9.0 -- An enhanced Interactive Python.
-
-      Welcome to pylab, a matplotlib-based Python environment.
-      For more information, type 'help(pylab)'.
-
-    In [1]: x = randn(10000)
-
-    In [2]: hist(x, 100)
-
-Note that when testing matplotlib installations from the interactive
-python console, there are some issues relating to user interface
-toolkits and interactive settings that are discussed in
-:ref:`mpl-shell`.
-
-Installing on Windows
----------------------
+Windows
+-------
 
 If you don't already have Python installed, we recommend using
 one of the `scipy-stack compatible Python distributions
@@ -175,6 +116,8 @@ sys.prefix\Lib\site-packages\mpl_toolkits respectively, and install
 Pillow, MiKTeX, GhostScript, ffmpeg, avconv, mencoder, ImageMagick, and
 `Inkscape <http://inkscape.org/>`_.
 
+
+
 .. _install_from_source:
 
 Installing from source