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<h2><a href="/proxies-with-apache-and-python.html" class="title">Proxies with Apache and python</a></h2>
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<span class="date">2014-10-09</span>
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<a class="tag" href="/tag/python.html"><span class="label">python</span></a>
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<a class="tag" href="/tag/apache.html"><span class="label">apache</span></a>
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<div class="excerpt">
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<p>This is a quick note on proxying a local python application (e.g. flask)
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to a subdirectory in Apache. This assumes that the file wsgi.py contains
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a WSGI application with the name <em>application</em>. Hence, wsgi:application.</p>
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<div class="section" id="gunicorn">
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<h2>Gunicorn</h2>
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<table class="highlighttable"><tr><td class="linenos"><div class="linenodiv"><pre>1
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2
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3
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4
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5</pre></div></td><td class="code"><div class="highlight"><pre><span class="nt"><Location</span> <span class="s">/myapp/</span><span class="nt">></span>
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<span class="nb">ProxyPass</span> http://127.0.0 ...</pre></div></td></tr></table></div>
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<h2><a href="/publishing-on-pypi.html" class="title">Publishing on PyPi</a></h2>
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<span class="date">2014-09-27</span>
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<a class="tag" href="/tag/github.html"><span class="label">github</span></a>
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<a class="tag" href="/tag/python.html"><span class="label">python</span></a>
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<a class="tag" href="/tag/pypi.html"><span class="label">pypi</span></a>
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<div class="excerpt">
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<p>Developing a python module and publishing it on Github is cool, but most
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of the times you want others to download and use it easily. That is the
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role of PyPi, the python package repository. In this post I show you how
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to publish your package in less than 10 ...</p>
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<h2><a href="/updating-eurolovemap.html" class="title">Updating EuroLoveMap</a></h2>
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<span class="date">2014-03-27</span>
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<a class="tag" href="/tag/javascript.html"><span class="label">javascript</span></a>
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<a class="tag" href="/tag/python.html"><span class="label">python</span></a>
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<div class="excerpt">
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<p>As part of the <a class="reference external" href="http://www.opener-project.org/2013/07/18/opener-hackathon-in-amsterdam/">OpeNER
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hackathon</a>
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we decided to build a prototype that would allow us to compare how
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different countries feel about several topics. We used the OpeNER
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pipeline to get the sentiment from a set of newspaper articles we
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gathered from media in several languages. Then we aggregated ...</p>
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