<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0">
  <channel>
    <title>PyPI recent updates for foundry-duck-transforms</title>
    <link>https://pypi.org/project/foundry-duck-transforms/</link>
    <description>Recent updates to the Python Package Index for foundry-duck-transforms</description>
    <language>en</language>    <item>
      <title>0.1.12</title>
      <link>https://pypi.org/project/foundry-duck-transforms/0.1.12/</link>
      <description>Run transforms quickly on local machine and analyse using DuckDb and pyspark</description>
<author>kontakt@eredzik.com</author>      <pubDate>Tue, 10 Mar 2026 16:05:27 GMT</pubDate>
    </item>    <item>
      <title>0.1.11</title>
      <link>https://pypi.org/project/foundry-duck-transforms/0.1.11/</link>
      <description>Run transforms quickly on local machine and analyse using DuckDb and pyspark</description>
<author>kontakt@eredzik.com</author>      <pubDate>Tue, 10 Mar 2026 15:27:59 GMT</pubDate>
    </item>    <item>
      <title>0.1.10</title>
      <link>https://pypi.org/project/foundry-duck-transforms/0.1.10/</link>
      <description>Run transforms quickly on local machine and analyse using DuckDb and pyspark</description>
<author>kontakt@eredzik.com</author>      <pubDate>Tue, 10 Mar 2026 15:22:10 GMT</pubDate>
    </item>    <item>
      <title>0.1.9</title>
      <link>https://pypi.org/project/foundry-duck-transforms/0.1.9/</link>
      <description>Run transforms quickly on local machine and analyse using DuckDb and pyspark</description>
<author>kontakt@eredzik.com</author>      <pubDate>Tue, 10 Mar 2026 15:05:02 GMT</pubDate>
    </item>    <item>
      <title>0.1.8</title>
      <link>https://pypi.org/project/foundry-duck-transforms/0.1.8/</link>
      <description>Run transforms quickly on local machine and analyse using DuckDb and pyspark</description>
<author>kontakt@eredzik.com</author>      <pubDate>Tue, 10 Mar 2026 14:39:00 GMT</pubDate>
    </item>    <item>
      <title>0.1.7</title>
      <link>https://pypi.org/project/foundry-duck-transforms/0.1.7/</link>
      <description>Run transforms quickly on local machine and analyse using DuckDb and pyspark</description>
<author>kontakt@eredzik.com</author>      <pubDate>Tue, 10 Mar 2026 14:33:49 GMT</pubDate>
    </item>    <item>
      <title>0.1.6</title>
      <link>https://pypi.org/project/foundry-duck-transforms/0.1.6/</link>
      <description>Run transforms quickly on local machine and analyse using DuckDb and pyspark</description>
<author>kontakt@eredzik.com</author>      <pubDate>Tue, 10 Mar 2026 14:31:32 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/foundry-duck-transforms/0.1.5/</link>
      <description>Run transforms quickly on local machine and analyse using DuckDb and pyspark</description>
<author>kontakt@eredzik.com</author>      <pubDate>Tue, 10 Mar 2026 14:04:35 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/foundry-duck-transforms/0.1.4/</link>
      <description>Run transforms quickly on local machine and analyse using DuckDb and pyspark</description>
<author>kontakt@eredzik.com</author>      <pubDate>Thu, 20 Feb 2025 07:25:28 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/foundry-duck-transforms/0.1.3/</link>
      <description>Run transforms quickly on local machine and analyse using DuckDb and pyspark</description>
<author>kontakt@eredzik.com</author>      <pubDate>Thu, 20 Feb 2025 07:21:02 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/foundry-duck-transforms/0.1.2/</link>
      <description>Run transforms quickly on local machine and analyse using DuckDb and pyspark</description>
<author>kontakt@eredzik.com</author>      <pubDate>Mon, 17 Feb 2025 08:32:04 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/foundry-duck-transforms/0.1.1/</link>
      <description>Run transforms quickly on local machine and analyse using DuckDb and pyspark</description>
<author>kontakt@eredzik.com</author>      <pubDate>Mon, 17 Feb 2025 08:07:56 GMT</pubDate>
    </item>  </channel>
</rss>