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< h2 class = "title" > Latest entries< / h2 >
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< dt > < a href = "/proxies-with-apache-and-python.html" > Proxies with Apache and python< / a > < / dt >
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< dd class = "tag" > < a class = "label" href = "/tag/python.html" > python< / a > < / dd >
< dd class = "tag" > < a class = "label" href = "/tag/apache.html" > apache< / a > < / dd >
< dd class = "tag" > < a class = "label" href = "/tag/proxy.html" > proxy< / a > < / dd >
< dd class = "tag" > < a class = "label" href = "/tag/gunicorn.html" > gunicorn< / a > < / dd >
< dd class = "tag" > < a class = "label" href = "/tag/uwsgi.html" > uwsgi< / a > < / dd >
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< dt > < a href = "/publishing-on-pypi.html" > Publishing on PyPi< / a > < / dt >
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< dd class = "tag" > < a class = "label" href = "/tag/github.html" > github< / a > < / dd >
< dd class = "tag" > < a class = "label" href = "/tag/python.html" > python< / a > < / dd >
< dd class = "tag" > < a class = "label" href = "/tag/pypi.html" > pypi< / a > < / dd >
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< dt > < a href = "/updating-eurolovemap.html" > Updating EuroLoveMap< / a > < / dt >
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< dd class = "tag" > < a class = "label" href = "/tag/javascript.html" > javascript< / a > < / dd >
< dd class = "tag" > < a class = "label" href = "/tag/python.html" > python< / a > < / dd >
< dd class = "tag" > < a class = "label" href = "/tag/heroku.html" > heroku< / a > < / dd >
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< h1 > Entries tagged: python< / h1 >
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< h2 > < a href = "/proxies-with-apache-and-python.html" class = "title" > Proxies with Apache and python< / a > < / h2 >
< span class = "date" > 2014-10-09< / span >
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< a class = "tag" href = "/tag/python.html" > < span class = "label" > python< / span > < / a >
< a class = "tag" href = "/tag/apache.html" > < span class = "label" > apache< / span > < / a >
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< p > This is a quick note on proxying a local python application (e.g. flask)
to a subdirectory in Apache. This assumes that the file wsgi.py contains
a WSGI application with the name < em > application< / em > . Hence, wsgi:application.< / p >
< div class = "section" id = "gunicorn" >
< h2 > Gunicorn< / h2 >
< table class = "highlighttable" > < tr > < td class = "linenos" > < div class = "linenodiv" > < pre > 1
2
3
4
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 >
< span class = "nb" > ProxyPass< / span > http://127.0.0 ...< / pre > < / div > < / td > < / tr > < / table > < / div >
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< div class = "readmore" > < a href = "/proxies-with-apache-and-python.html" > < i class = "fa fa-external-link" > < / i > Read more...< / a > < / 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 >
< a class = "tag" href = "/tag/python.html" > < span class = "label" > python< / span > < / a >
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< p > Developing a python module and publishing it on Github is cool, but most
of the times you want others to download and use it easily. That is the
role of PyPi, the python package repository. In this post I show you how
to publish your package in less than 10 ...< / p >
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< div class = "readmore" > < a href = "/publishing-on-pypi.html" > < i class = "fa fa-external-link" > < / i > Read more...< / a > < / div >
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< h2 > < a href = "/updating-eurolovemap.html" class = "title" > Updating EuroLoveMap< / a > < / h2 >
< span class = "date" > 2014-03-27< / span >
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< a class = "tag" href = "/tag/javascript.html" > < span class = "label" > javascript< / span > < / a >
< a class = "tag" href = "/tag/python.html" > < span class = "label" > python< / span > < / a >
< a class = "tag" href = "/tag/heroku.html" > < span class = "label" > heroku< / span > < / a >
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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
hackathon< / a >
we decided to build a prototype that would allow us to compare how
different countries feel about several topics. We used the OpeNER
pipeline to get the sentiment from a set of newspaper articles we
gathered from media in several languages. Then we aggregated ...< / p >
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J. Fernando Sánchez Rada | balkian
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