wassname/catalyst
1
0
Fork 0
mirror of https://github.com/wassname/catalyst.git synced 2026-07-24 13:00:57 +08:00
Code Issues Packages Projects Releases Wiki Activity

WIP: Install page

Browse Source
This commit is contained in:
Victor Grau Serrat
2017-10-19 18:06:11 -06:00
parent 92d31d7680
commit f29127d867
3 changed files with 24 additions and 22 deletions
Download Patch File Download Diff File Expand all files Collapse all files
install.html
+9 -10
View File
@@ -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>