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    <title>PyPI recent updates for digit-bin-index</title>
    <link>https://pypi.org/project/digit-bin-index/</link>
    <description>Recent updates to the Python Package Index for digit-bin-index</description>
    <language>en</language>    <item>
      <title>0.4.2</title>
      <link>https://pypi.org/project/digit-bin-index/0.4.2/</link>
      <description>A high-performance, O(P) data structure for weighted random sampling of binned probabilities, ideal for large-scale simulations.</description>
<author>lars.ronnback@anchormodeling.com</author>      <pubDate>Thu, 18 Sep 2025 21:31:34 GMT</pubDate>
    </item>    <item>
      <title>0.4.1</title>
      <link>https://pypi.org/project/digit-bin-index/0.4.1/</link>
      <description>A high-performance, O(P) data structure for weighted random sampling of binned probabilities, ideal for large-scale simulations.</description>
<author>lars.ronnback@anchormodeling.com</author>      <pubDate>Tue, 16 Sep 2025 08:40:18 GMT</pubDate>
    </item>    <item>
      <title>0.4.0</title>
      <link>https://pypi.org/project/digit-bin-index/0.4.0/</link>
      <description>A high-performance, O(P) data structure for weighted random sampling of binned probabilities, ideal for large-scale simulations.</description>
<author>lars.ronnback@anchormodeling.com</author>      <pubDate>Tue, 16 Sep 2025 00:42:55 GMT</pubDate>
    </item>    <item>
      <title>0.3.1</title>
      <link>https://pypi.org/project/digit-bin-index/0.3.1/</link>
      <description>A high-performance, O(P) data structure for weighted random sampling of binned probabilities, ideal for large-scale simulations.</description>
<author>lars.ronnback@anchormodeling.com</author>      <pubDate>Sun, 14 Sep 2025 13:56:22 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/digit-bin-index/0.3.0/</link>
      <description>A high-performance, O(P) data structure for weighted random sampling of binned probabilities, ideal for large-scale simulations.</description>
<author>lars.ronnback@anchormodeling.com</author>      <pubDate>Sun, 14 Sep 2025 00:58:52 GMT</pubDate>
    </item>    <item>
      <title>0.2.5</title>
      <link>https://pypi.org/project/digit-bin-index/0.2.5/</link>
      <description>A high-performance, O(P) data structure for weighted random sampling of binned probabilities, ideal for large-scale simulations.</description>
<author>lars.ronnback@anchormodeling.com</author>      <pubDate>Fri, 12 Sep 2025 23:42:18 GMT</pubDate>
    </item>    <item>
      <title>0.2.4</title>
      <link>https://pypi.org/project/digit-bin-index/0.2.4/</link>
      <description>A high-performance, O(P) data structure for weighted random sampling of binned probabilities, ideal for large-scale simulations.</description>
<author>lars.ronnback@anchormodeling.com</author>      <pubDate>Thu, 11 Sep 2025 15:44:26 GMT</pubDate>
    </item>    <item>
      <title>0.2.3</title>
      <link>https://pypi.org/project/digit-bin-index/0.2.3/</link>
      <description>A high-performance, O(P) data structure for weighted random sampling of binned probabilities, ideal for large-scale simulations.</description>
<author>lars.ronnback@anchormodeling.com</author>      <pubDate>Wed, 10 Sep 2025 13:56:52 GMT</pubDate>
    </item>    <item>
      <title>0.2.2</title>
      <link>https://pypi.org/project/digit-bin-index/0.2.2/</link>
      <description>A high-performance, O(P) data structure for weighted random sampling of binned probabilities, ideal for large-scale simulations.</description>
<author>lars.ronnback@anchormodeling.com</author>      <pubDate>Tue, 09 Sep 2025 13:11:18 GMT</pubDate>
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