-3 suffix for pip.  Once python 3.6 is installed, the following command in a
terminal should suffice to complete the installation of tweetypy:</p>
<pre><code>pip3 install tweetypy</code></pre>
<p>This should install all the dependencies followed by tweetypy itself.
Preliminary testing on a mac resulted in a successful installation and minimal
test of a working tweetypy install.</p>
<h3 id="install-win">Windows</h3>
<p>Installing the dependencies of NumPy and SciPy on Windows is a bit tricker.
As one of the NumPy team says &ldquo;If you're on Windows, and you try the same
thing with pip, all hell will break loose.&rdquo;<a class="note-link"
href="#install-note-8">8</a>.  This may be fixed in recent versions of NumPy,
but SciPy is still an issue<a class="note-link" href="#install-note-9">9</a>.
Precompiled "wheels" built against the Intel math kernel library are, however,
available.</p>
<ol>
<li>Install python 3.6 or newer from the python website.
<li>Download a suitable version of NumPy and SciPy from Christoph Gohlke's page
at the University of California<a class="note-link"
href="#install-note-10">10</a>.  I used the cp36-cp36m-win32 builds for my test
on Windows 10.</li>
<li>Install each of the wheels, NumPy first, then SciPy.  From a console / dos
prompt:
<pre><code>cd \path\to\Downloads
pip install numpy-1.13.1+mkl-cp36-cp36m-win32.whl
pip install scipy-0.19.1-cp36-cp36m-win32.whl</code></pre></li>
<li>If the above dependencies installed successfully you should now be able to
install tweetypy from PyPi:

<pre><code>pip install tweetypy</code></pre>
This should find the existing installation of NumPy and SciPy and only install
the remaining needed dependencies followed by tweetypy.</li>
</ol>
<p>Preliminary testing on Windows 10 resulted in a successful installation and
minimal test of a working tweetypy install.</p>
<h3 id="install-linux">Linux</h3>
<p>A <code>PKGBUILD</code> is provided in the source repository for ArchLinux.
Other distros may use <code>python setup.py install</code> from the root of
the source repository.  If you are able to help package TweetyPy for your
distro, please feel free to open a feature request on the ticket tracker.
Alternatively, tweetypy can be installed directly from PyPi via pip.</p>
<ol class="notes">
<li id="install-note-1">Install Python 3.6 or higher via your package / software
manager or from the <a href="https://www.python.org/">Python website</a>.</li>
<li id="install-note-2">Install Qt5 via your package / software
manager or from the <a href="http://doc.qt.io/qt-5/supported-platforms.html">Qt5 Website</a>.</li>
<li id="install-note-3">TweetyPy on PyPi (<a href="https://pypi.python.org/pypi/tweetypy">link</a>)</li>
<li id="install-note-4">Fossil VCS repository (<a href="https://code.jessemcclure.org/tweetypy/timeline">link</a>)</li>
<li id="install-note-5"><a href="http://www.numpy.org/">Numpy</a></li>
<li id="install-note-6"><a href="https://www.scipy.org/">SciPy</a></li>
<li id="install-note-7"><a href="http://pyyaml.org/">PyYAML</a></li>
<li id="install-note-8"><a href="https://github.com/numpy/numpy/wiki/Whats-with-Windows-builds">What's With Window's Builds</a></li>
<li id="install-note-9"><a href="https://github.com/scipy/scipy/issues/5461">Issue 5461</a></li>
<li id="install-note-10"><a href="www.lfd.uci.edu/~gohlke/pythonlibs/#numpy">NumPy wheels</a>, <a href="www.lfd.uci.edu/~gohlke/pythonlibs/#scipy">SciPy wheels</a></li>
</ol>
</section>

<section id="config1">
<h2>Basic Configuration</h2>
<p>Configuration files are provided with reasonable defaults that should work
&lsquo;out-of-the-box&rsquo; for many analyses.  Configuration files are written