WIP: Install page

_sources/install.txt

@@ -38,6 +38,7 @@ Python`_ provides an `excellent tutorial on virtualenv
 version:
 
 .. code-block:: bash
+
    $ virtualenv catalyst-venv
    $ source ./catalyst-venv/bin/activate
    $ pip install enigma-catalyst
@@ -66,15 +67,17 @@ On `Arch Linux`_, you can acquire the additional dependencies via ``pacman``:
 
    $ pacman -S lapack gcc gcc-fortran pkg-config
 
-There are also AUR packages available for installing `Python 3.4
-<https://aur.archlinux.org/packages/python34/>`_ (Arch's default python is now
-3.5, but Zipline only currently supports 3.4), and `ta-lib
-<https://aur.archlinux.org/packages/ta-lib/>`_, an optional Zipline dependency.
-Python 2 is also installable via:
+.. Commenting it out until Catalyst fully supports Python 3.X
+..
+.. There are also AUR packages available for installing `Python 3.4
+.. <https://aur.archlinux.org/packages/python34/>`_ (Arch's default python is now
+.. 3.5, but Zipline only currently supports 3.4), and `ta-lib
+.. <https://aur.archlinux.org/packages/ta-lib/>`_, an optional Zipline dependency.
+.. Python 2 is also installable via:
 
-.. code-block:: bash
+.. 
 
-   $ pacman -S python2
+..   $ pacman -S python2
 
 OSX
 ~~~
@@ -104,20 +107,20 @@ For windows, the easiest and best supported way to install zipline is to use
 Installing with ``conda``
 -------------------------
 
-Another way to install Zipline is via the ``conda`` package manager, which
+Another way to install Catalyst is via the ``conda`` package manager, which
 comes as part of Continuum Analytics' `Anaconda
 <http://continuum.io/downloads>`_ distribution.
 
 The primary advantage of using Conda over ``pip`` is that conda natively
 understands the complex binary dependencies of packages like ``numpy`` and
-``scipy``.  This means that ``conda`` can install Zipline and its dependencies
-without requiring the use of a second tool to acquire Zipline's non-Python
+``scipy``.  This means that ``conda`` can install Catalyst and its dependencies
+without requiring the use of a second tool to acquire Catalyst's non-Python
 dependencies.
 
 For instructions on how to install ``conda``, see the `Conda Installation
 Documentation <http://conda.pydata.org/docs/download.html>`_
 
-Once conda has been set up you can install Zipline from our ``Quantopian``
+Once conda has been set up you can install Catalyst from our ``Quantopian``
 channel:
 
 .. code-block:: bash

install.html

@@ -374,6 +374,11 @@ your particular platform), you should be able to simply run</p>
 that you install in a <a class="reference external" href="https://virtualenv.readthedocs.org/en/latest">virtualenv</a>.  The <a class="reference external" href="http://docs.python-guide.org/en/latest/">Hitchhiker&#8217;s Guide to
 Python</a> provides an <a class="reference external" href="http://docs.python-guide.org/en/latest/dev/virtualenvs/">excellent tutorial on virtualenv</a>. Here&#8217;s a summarized
 version:</p>
+<div class="highlight-bash"><div class="highlight"><pre><span class="nv">$ </span>virtualenv catalyst-venv
+<span class="nv">$ </span><span class="nb">source</span> ./catalyst-venv/bin/activate
+<span class="nv">$ </span>pip install enigma-catalyst
+</pre></div>
+</div>
 <div class="section" id="gnu-linux">
 <h3>GNU/Linux<a class="headerlink" href="#gnu-linux" title="Permalink to this headline">¶</a></h3>
 <p>On <a class="reference external" href="https://www.debian.org/misc/children-distros">Debian-derived</a> Linux distributions, you can acquire all the necessary
@@ -391,12 +396,6 @@ dependencies:</p>
 <div class="highlight-bash"><div class="highlight"><pre><span class="nv">$ </span>pacman -S lapack gcc gcc-fortran pkg-config
 </pre></div>
 </div>
-<p>There are also AUR packages available for installing <a class="reference external" href="https://aur.archlinux.org/packages/python34/">Python 3.4</a> (Arch&#8217;s default python is now
-3.5, but Zipline only currently supports 3.4), and <a class="reference external" href="https://aur.archlinux.org/packages/ta-lib/">ta-lib</a>, an optional Zipline dependency.
-Python 2 is also installable via:</p>
-<div class="highlight-bash"><div class="highlight"><pre><span class="nv">$ </span>pacman -S python2
-</pre></div>
-</div>
 </div>
 <div class="section" id="osx">
 <h3>OSX<a class="headerlink" href="#osx" title="Permalink to this headline">¶</a></h3>
@@ -420,16 +419,16 @@ following brew packages:</p>
 </div>
 <div class="section" id="installing-with-conda">
 <span id="conda"></span><h2>Installing with <code class="docutils literal"><span class="pre">conda</span></code><a class="headerlink" href="#installing-with-conda" title="Permalink to this headline">¶</a></h2>
-<p>Another way to install Zipline is via the <code class="docutils literal"><span class="pre">conda</span></code> package manager, which
+<p>Another way to install Catalyst is via the <code class="docutils literal"><span class="pre">conda</span></code> package manager, which
 comes as part of Continuum Analytics&#8217; <a class="reference external" href="http://continuum.io/downloads">Anaconda</a> distribution.</p>
 <p>The primary advantage of using Conda over <code class="docutils literal"><span class="pre">pip</span></code> is that conda natively
 understands the complex binary dependencies of packages like <code class="docutils literal"><span class="pre">numpy</span></code> and
-<code class="docutils literal"><span class="pre">scipy</span></code>.  This means that <code class="docutils literal"><span class="pre">conda</span></code> can install Zipline and its dependencies
-without requiring the use of a second tool to acquire Zipline&#8217;s non-Python
+<code class="docutils literal"><span class="pre">scipy</span></code>.  This means that <code class="docutils literal"><span class="pre">conda</span></code> can install Catalyst and its dependencies
+without requiring the use of a second tool to acquire Catalyst&#8217;s non-Python
 dependencies.</p>
 <p>For instructions on how to install <code class="docutils literal"><span class="pre">conda</span></code>, see the <a class="reference external" href="http://conda.pydata.org/docs/download.html">Conda Installation
 Documentation</a></p>
-<p>Once conda has been set up you can install Zipline from our <code class="docutils literal"><span class="pre">Quantopian</span></code>
+<p>Once conda has been set up you can install Catalyst from our <code class="docutils literal"><span class="pre">Quantopian</span></code>
 channel:</p>
 <div class="highlight-bash"><div class="highlight"><pre>conda install -c Quantopian zipline
 </pre></div>