apug-meetup-march-2022.html

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           title="Permalink to APUG Meetup March 2022">APUG Meetup March 2022</a></h1>
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        <abbr class="published" title="2022-02-24T00:00:00+00:00">
                Published: Thu 24 February 2022
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                By                         <a class="url fn" href="/author/ian-watt.html">Ian Watt</a>
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<p>In <a href="/category/misc.html">misc</a>.</p>

</footer><!-- /.post-info -->      <h2>This month's APUG session</h2>
<p>Our next session will take place on 09 March 2022. It will start at 18:30. </p>
<p>The format is </p>
<ul>
<li>18:30 Food (physical space)</li>
<li>18:45 Talk: Ian Watt - "Python and Wikidata - a match made in heaven?"</li>
<li>19:30 Project teams in break-out rooms (Beginner and Intermediate). </li>
<li>20:30 Project round-ups</li>
</ul>
<p>all times are approximate.</p>
<h3>Description</h3>
<p><a href="https://www.wikidata.org/wiki/Wikidata:Introduction">Wikidata</a> is one of the largest, if not the largest, collaborative Linked Open Data databases in the world. It has almost 100million items in it. These represent about 12 billion data triples. Anyone can read from it (and it has a CC0 licence for re-use). Anyone with a Wiki(data)/(pedia) / Commons account can write to it. And like everything in the Wikimedia universe there are multiple ways to do any task. Tonight Ian will give a very brief <a href="https://www.wikidata.org/wiki/Wikidata:Introduction">introduction to Wikidata</a>, but will focus mainly on a look at some Python libraries designed to interact with Wikidata. In the practical session we will try one of the libraries and extract some Wikidata for use in our own analysis. While you will not need to register for a Wikidata account to take part in the practical session, Ian does receommend that you register and get involved improving Wikidata quality. </p>
<h3>Biography</h3>
<p>Ian is a co-founder and trustee of <a href="https://codethecity.org">Code The City</a> a local charity which uses tech and data for civic good. He graduated with a Masters in Data Science from RGU. He is a Wikimedia UK trainer who has delivered courses in Wikipedia editing, the use of Wiki Commons, and Wikidata which is his favourite platform. He has over <a href="https://www.wikidata.org/wiki/Special:CentralAuth?target=Watty62">100,000 Wikidata edits</a> to his name. He is very keen on local and social history, and art, and recently worked with Aberdeen Art Gallery and Museums to upload <a href="https://commons.wikimedia.org/wiki/Category:Images_from_Aberdeen_City_Council_(Archives,_Gallery_and_Museums_Collection)">4,200 openly-licensed images</a> of artworks in the collection) to Wiki Commons, each with corresponding Wikidata items. </p>
<h3>Registration</h3>
<p>We will have both a physical and online version of this meetup.  If you select a physical ticket and it happens that we can not meet physically you will have to attend the Zoom session. If you choose a physical ticket you will have to comply with any conditions of attendance (eg masks or social distancing) that the venue operators demand at the time. </p>
<p>Register to attend <a href="https://ti.to/code-the-city/aberdeen-python-user-group-mar-2022">the March meeting</a>.</p>
<p>Tickets are by donation - we suggest £5 to help with the running costs of <a href="https://codethecity.org">Code the City</a>. </p>
<h3>Monthly challenges</h3>
<p>The project challenges will be announced on <a href="https://github.com/PythonAberdeen/user_group/tree/master/">Github</a></p>
<h3>Keep in touch</h3>
<p>We recommend joining our <a href="https://join.slack.com/t/python-aberdeen/shared_invite/zt-gfjps8xe-M9YkWloAUL73blPovaHvFA">Slack channel</a>. </p>
<p>If you are a beginner looking to get started in Python have a look at our <a href="https://pythonaberdeen.github.io/pages/learning-resources.html">Learning Resources page</a> where we recommend a free video course on Youtube. </p>
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