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  <title>A Random Walk Through Idea Space: datascience</title>
  <subtitle>Posts tagged with datascience</subtitle>
  <id>http://www.thattommyhall.com</id>
  <link href="http://www.thattommyhall.com"/>
  <link href="http://www.thattommyhall.com/tag/datascience/feed.xml" rel="self"/>
  <updated>2020-02-16T17:09:00+00:00</updated>
  <author>
    <name>thattommyhall</name>
  </author>
  <entry>
    <title>Reproducable Data Science</title>
    <link rel="alternate" href="http://www.thattommyhall.com/2020/02/16/a-la-mode/"/>
    <id>http://www.thattommyhall.com/2020/02/16/a-la-mode/</id>
    <published>2020-02-16T17:09:00+00:00</published>
    <updated>2020-02-22T18:08:28+00:00</updated>
    <author>
      <name>thattommyhall</name>
    </author>
    <summary type="html">I recently gave a talk entitled “Data Pipelines A La Mode”, with the
following premise.


We can use techniques from functional programming and distributed build
systems in our (big) data (science) pipelines to allow us to know what code
was used for
</summary>
  </entry>
</feed>
