veyepar: Democratization of Open Data with Python & Open Source

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Name: Democratization of Open Data with Python & Open Source
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Author(s):	Espartaco Palma
Location	MSC 2300 B
Date	oct Sat 04	Days Raw Files
Start	16:00	First Raw Start	16:06
Duration	00:25:00	Offset	0:06:25
End	16:25	Last Raw End	16:32
Chapters	00:00 0:10:38 0:20:01
Total cuts_time	24 min.

http://www.pytexas.org/2014/talks/24/
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Since the beginning of 2000s, Eric von Hippel has presented Models on how Paradigm Shift from Producer Innovation to User and Open Collaborative Innovation, this can be true not only on products, also in how the users can produce innovation on service like the OpenData & Open Government, don't need the main publisher, researcher or Government provide all the work. The communities can push more innovation around this new services.

Nowadays, everybody can improve the data available, curate, create, publish and provide more value on public & open data. Learn a framework like Flask is more accessible than ever, host & publish REST services for free, host the code of project for free also. It's democratizing all the way. All can be done with Python.

In this presentation I'll demonstrate how can use GitHub to publish a data sets (and proper updates) and the code of the Python REST API with no more than 100 lines of code which can be deployed on local installation, plus, with few commands,  deploy on a service with a free tier like OpenShift for a worldwide audience.

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2014-10-04/16_06_25.dv Apply: 16:06:25 - 16:06:30 ( 00:00:05 ) S: 16:06:25 - E: 16:06:30 D: 00:00:05 show more...

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2014-10-04/16_18_02.dv Apply: 16:18:02 - 16:27:25 ( 00:09:23 ) S: 16:18:02 - E: 16:27:25 D: 00:09:23 show more...

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