OpenData.py // 30.6.2017

## Python in the service of<br>the open data community

#### >>> Python/Django User Group Bern

<pre>datetime.datetime(2017, 6, 30)</pre>

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### <pre># a warm, relaxing welcome</pre>

#### Take a moment to look around you, observe the environment<br> and all the other friendly people sharing this space with us.

#### *Please enjoy [60 seconds](https://www.dropbox.com/sc/p68j1bn8dsw4gnw/AAAYuyDtoy7Hc6UIOQc3OvyVa) of contemplation.*

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[![](infrastructure/CH-000001-5GS-ZBINDEN-A-705.png)](https://forum.schoolofdata.ch/t/infrastructure-workshop-opendatach-2017/242)

## unconditional,basic,data

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[<img src="http://datalets.ch/files/design/logo1.png" width="80%" alt="Datalets.ch">](http://datalets.ch)

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[<img src="python/swisspythonsummit.jpg" width="60%" alt="Swiss Python Summit">](http://www.python-summit.ch/)

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[<img src="images/schoolofdatach.png" width="100%" alt="School of Data">](http://schoolofdata.ch)

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Sources

Pipes

Discovery

Design

Ownership

Accessibility

Usability + Uptime

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## Secure + open data sources

> FOAG + canton Bern, SFOE via [GeoAdmin](https://map.geo.admin.ch/?lang=en&topic=ech&bgLayer=voidLayer&layers=ch.swisstopo.zeitreihen,ch.bfs.gebaeude_wohnungs_register,ch.bav.haltestellen-oev,ch.swisstopo.swisstlm3d-wanderwege,ch.blw.emapis-wasserversorgung,ch.bfe.kleinwasserkraftpotentiale&layers_visibility=false,false,false,false,true,true&layers_timestamp=18641231,,,,,&X=199562.60&Y=596866.53&zoom=5)

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[![](https://36qxd1l7f7y2pa9s2h6gbwi1-wpengine.netdna-ssl.com/wp-content/uploads/2017/06/GIS-python.png)](https://www.gislounge.com/use-python-gis/)

### # side note: GIS in Python rocks..</small>

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background-image: url(python/ckan.png)

e.g. [DataHub.io](https://datahub.io/), [opendata.swiss](http://opendata.swiss), [Stadt Zürich](https://data.stadt-zuerich.ch/), [open.canada.ca](http://open.canada.ca/data/en/dataset) ... [etc.](http://dataportals.org/)

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background-image: url(infrastructure/opendataswiss-security.png)

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[<img src="python/pelican.png" width="85%">](https://www.staticgen.com/pelican)

e.g. [handbook.opendata.swiss](https://github.com/opendata-swiss/ogd-handbook-wiki), [index.okfn.org](https://github.com/okfn/opendataindex)

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e.g. [pelican-loadcsv](https://github.com/e9t/pelican-loadcsv) vs. [handsontable](https://handsontable.com/) vs. something else?..

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[<img src="https://datalets.ch/2.0/logos/wagtail.svg" width="50%">](https://twitter.com/getpelican)

# WIP: [blemmy](https://github.com/datalets/blemmy)

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## Shared resources and spaces

> [Martyn Smith](https://www.flickr.com/photos/tinz/16066578923/in/photostream/) CC BY 2.0

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background-image: url('https://datalets.ch/dribdat/res/CTRXYssWcAAB-26.jpg')

<u style="display:block;padding:1em;margin:2em;font-size:90%">[Dribdat](http://github.com/datalets/dribdat). Photo by [@M2M_in_Action](https://twitter.com/M2M_in_Action/status/663251137051664384) at [Swisscom IoT Hackathon](https://datalets.ch/dribdat/iot-2015/).</u>

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[<img src="https://farm6.staticflickr.com/5784/30902472846_831412828c_o_d.jpg" width="100%">](https://github.com/Jugendhackt?language=python)

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## Discovery

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[![](infrastructure/handbook_embed_architecture.svg)](https://handbook.opendata.swiss/library/embed.html)

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## Design

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[<img src="infrastructure/schlaumeier.png" width="100%">](http://bd.schoolofdata.ch/project/14.html)

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## Ownership

Check out [Datacentral](https://github.com/schoolofdata-ch/datacentral)

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## Accessibility

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## Usability

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[<img src="https://farm6.staticflickr.com/5784/30902472846_831412828c_o_d.jpg" width="100%">](https://github.com/Jugendhackt?language=python)

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## Uptime ...

The kind of projects we need to work on more.

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<small>See also: <a href="https://datarefuge.github.io/workflow/">DataRefuge Workflow</a></small>

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<small style="background:#fff;padding:3px;display:inline-block">See also [datpy](http://github.com/karissa/datpy)</small>

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background-image: url('infrastructure/2017-05-23 16.16.28.jpg')

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This image was made using Google's new [AutoDraw](https://aiexperiments.withgoogle.com/autodraw) A.I. experiment,
which you can [read about here](https://www.blog.google/topics/machine-learning/fast-drawing-everyone/).
While I have no way of being certain right now, it's likely that at least parts of
it were written in Python, the native language of [TensorFlow](https://www.tensorflow.org/).

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[<img src="https://www.liip.ch/files/images/contact/LiipCH_Contact_Zurich.png" width="100%">](https://www.liip.ch)

# Thank you!

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[<img src="https://www.89grad.ch/wp-content/uploads/2017/01/header_image_standard_2.jpg" width="100%">](https://www.89grad.ch)

# Thank you!

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<u style="display:block;padding:1em;margin:2em;font-size:90%"><a rel="license" href="http://creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons Licence" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a>
This presentation by Oleg Lavrovsky is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>.<br><br> Your feedback will be most welcomed via [datalets.ch](http://datalets.ch) and otherwise.</u>