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    <title>PyPI recent updates for robust-average</title>
    <link>https://pypi.org/project/robust-average/</link>
    <description>Recent updates to the Python Package Index for robust-average</description>
    <language>en</language>    <item>
      <title>0.1.6</title>
      <link>https://pypi.org/project/robust-average/0.1.6/</link>
      <description>A Python package that intelligently selects the most robust average (mean, median, or mode) for price analysis</description>
<author>bensha2019@outlook.com</author>      <pubDate>Tue, 08 Jul 2025 11:59:21 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/robust-average/0.1.5/</link>
      <description>A Python package that intelligently selects the most robust average (mean, median, or mode) for price analysis</description>
<author>bensha2019@outlook.com</author>      <pubDate>Tue, 08 Jul 2025 11:46:37 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/robust-average/0.1.4/</link>
      <description>A Python package that intelligently selects the most robust average (mean, median, or mode) for price analysis</description>
<author>bensha2019@outlook.com</author>      <pubDate>Mon, 07 Jul 2025 22:31:07 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/robust-average/0.1.3/</link>
      <description>A Python package that intelligently selects the most robust average (mean, median, or mode) for price analysis</description>
<author>ben@example.com</author>      <pubDate>Sat, 05 Jul 2025 22:32:09 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/robust-average/0.1.0/</link>
      <description>A Python package that intelligently selects the most robust average (mean, median, or mode) for price analysis</description>
<author>ben@example.com</author>      <pubDate>Sat, 05 Jul 2025 10:19:27 GMT</pubDate>
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