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    <title>PyPI recent updates for magictables</title>
    <link>https://pypi.org/project/magictables/</link>
    <description>Recent updates to the Python Package Index for magictables</description>
    <language>en</language>    <item>
      <title>1.1.3</title>
      <link>https://pypi.org/project/magictables/1.1.3/</link>
      <description>An advanced Python library designed to streamline data preparation and exploration for data scientists</description>
<author>lewis@magictables.org</author>      <pubDate>Sat, 27 Jul 2024 08:08:22 GMT</pubDate>
    </item>    <item>
      <title>1.1.2</title>
      <link>https://pypi.org/project/magictables/1.1.2/</link>
      <description>An advanced Python library designed to streamline data preparation and exploration for data scientists</description>
<author>lewis@magictables.org</author>      <pubDate>Sat, 27 Jul 2024 03:00:09 GMT</pubDate>
    </item>    <item>
      <title>1.1.1</title>
      <link>https://pypi.org/project/magictables/1.1.1/</link>
      <description>An advanced Python library designed to streamline data preparation and exploration for data scientists</description>
<author>lewis@magictables.org</author>      <pubDate>Sat, 27 Jul 2024 01:26:50 GMT</pubDate>
    </item>    <item>
      <title>1.1</title>
      <link>https://pypi.org/project/magictables/1.1/</link>
      <description>An advanced Python library designed to streamline data preparation and exploration for data scientists</description>
<author>lewis@magictables.org</author>      <pubDate>Sat, 27 Jul 2024 01:14:41 GMT</pubDate>
    </item>    <item>
      <title>1.0.6</title>
      <link>https://pypi.org/project/magictables/1.0.6/</link>
      <description>An advanced Python library designed to streamline data preparation and exploration for data scientists</description>
<author>lewis@magictables.org</author>      <pubDate>Wed, 24 Jul 2024 04:40:23 GMT</pubDate>
    </item>    <item>
      <title>1.0.5</title>
      <link>https://pypi.org/project/magictables/1.0.5/</link>
      <description>An advanced Python library designed to streamline data preparation and exploration for data scientists</description>
<author>lewis@magictables.org</author>      <pubDate>Wed, 24 Jul 2024 03:41:06 GMT</pubDate>
    </item>    <item>
      <title>1.0.4</title>
      <link>https://pypi.org/project/magictables/1.0.4/</link>
      <description>An advanced Python library designed to streamline data preparation and exploration for data scientists</description>
<author>lewis@magictables.org</author>      <pubDate>Tue, 23 Jul 2024 23:56:01 GMT</pubDate>
    </item>    <item>
      <title>1.0.3</title>
      <link>https://pypi.org/project/magictables/1.0.3/</link>
      <description>An advanced Python library designed to streamline data preparation and exploration for data scientists</description>
<author>lewis@magictables.org</author>      <pubDate>Tue, 23 Jul 2024 20:26:19 GMT</pubDate>
    </item>    <item>
      <title>1.0.2</title>
      <link>https://pypi.org/project/magictables/1.0.2/</link>
      <description>An advanced Python library designed to streamline data preparation and exploration for data scientists</description>
<author>lewis@magictables.org</author>      <pubDate>Tue, 23 Jul 2024 20:24:57 GMT</pubDate>
    </item>    <item>
      <title>1.0.1</title>
      <link>https://pypi.org/project/magictables/1.0.1/</link>
      <description>An advanced Python library designed to streamline data preparation and exploration for data scientists</description>
<author>lewis@magictables.org</author>      <pubDate>Tue, 23 Jul 2024 20:23:10 GMT</pubDate>
    </item>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/magictables/1.0.0/</link>
      <description>An advanced Python library designed to streamline data preparation and exploration for data scientists</description>
<author>lewis@magictables.org</author>      <pubDate>Tue, 23 Jul 2024 08:32:25 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/magictables/0.2.0/</link>
      <description>Easy-to-use decorators for caching API responses and augmenting function calls with AI-generated data</description>
<author>lewistham9x@gmail.com</author>      <pubDate>Thu, 18 Jul 2024 10:19:55 GMT</pubDate>
    </item>  </channel>
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