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    <title>PyPI recent updates for raxpy</title>
    <link>https://pypi.org/project/raxpy/</link>
    <description>Recent updates to the Python Package Index for raxpy</description>
    <language>en</language>    <item>
      <title>0.3</title>
      <link>https://pypi.org/project/raxpy/0.3/</link>
      <description>Python library that designs and executes experiments on Python functions, enabling rapid experimentation.</description>
<author>neil.ranly@gmail.com</author>      <pubDate>Thu, 28 May 2026 16:25:37 GMT</pubDate>
    </item>    <item>
      <title>0.2.3</title>
      <link>https://pypi.org/project/raxpy/0.2.3/</link>
      <description>Python library that designs and executes experiments on Python functions, enabling rapid experimentation.</description>
<author>neil.ranly@gmail.com</author>      <pubDate>Thu, 19 Feb 2026 15:01:01 GMT</pubDate>
    </item>    <item>
      <title>0.2.2</title>
      <link>https://pypi.org/project/raxpy/0.2.2/</link>
      <description>Python library that designs and executes experiments on Python functions, enabling rapid experimentation.</description>
<author>neil.ranly@gmail.com</author>      <pubDate>Thu, 19 Feb 2026 14:59:01 GMT</pubDate>
    </item>    <item>
      <title>0.2.1</title>
      <link>https://pypi.org/project/raxpy/0.2.1/</link>
      <description>Python library that designs and executes experiments on Python functions, enabling rapid experimentation.</description>
<author>neil.ranly@gmail.com</author>      <pubDate>Thu, 13 Nov 2025 18:36:53 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/raxpy/0.1.1/</link>
      <description>Python library that designs and executes experiments on Python functions, enabling rapid experimentation.</description>
<author>neil.ranly@gmail.com</author>      <pubDate>Mon, 06 Jan 2025 18:14:26 GMT</pubDate>
    </item>    <item>
      <title>0.1.0.dev139</title>
      <link>https://pypi.org/project/raxpy/0.1.0.dev139/</link>
      <description>Python library that designs and executes experiments on Python functions, enabling rapid experimentation.</description>
<author>neil.ranly@gmail.com</author>      <pubDate>Mon, 06 Jan 2025 17:25:23 GMT</pubDate>
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