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    <title>PyPI recent updates for experiencestudies</title>
    <link>https://pypi.org/project/experiencestudies/</link>
    <description>Recent updates to the Python Package Index for experiencestudies</description>
    <language>en</language>    <item>
      <title>0.5.2</title>
      <link>https://pypi.org/project/experiencestudies/0.5.2/</link>
      <description>Experience reporting and analysis on tidy tables: experience summaries and views, actual-versus-expected, claimant and cohort studies, driver and frequency-severity decomposition, rolling monitors, banded summaries. Study functions over the canonical actuarialpy.Experience.</description>
      <pubDate>Mon, 13 Jul 2026 13:46:41 GMT</pubDate>
    </item>    <item>
      <title>0.5.1</title>
      <link>https://pypi.org/project/experiencestudies/0.5.1/</link>
      <description>Experience reporting and analysis on tidy tables: experience summaries and views, actual-versus-expected, claimant and cohort studies, driver and frequency-severity decomposition, rolling monitors, banded summaries. Study functions over the canonical actuarialpy.Experience.</description>
      <pubDate>Mon, 13 Jul 2026 01:43:00 GMT</pubDate>
    </item>    <item>
      <title>0.5.0</title>
      <link>https://pypi.org/project/experiencestudies/0.5.0/</link>
      <description>Experience reporting and analysis on tidy tables: experience summaries and views, actual-versus-expected, claimant and cohort studies, driver and frequency-severity decomposition, rolling monitors, banded summaries. Study functions over the canonical actuarialpy.Experience.</description>
      <pubDate>Sun, 12 Jul 2026 19:26:53 GMT</pubDate>
    </item>    <item>
      <title>0.4.0</title>
      <link>https://pypi.org/project/experiencestudies/0.4.0/</link>
      <description>Experience reporting and analysis on tidy tables: experience summaries and views, actual-versus-expected, claimant and cohort studies, driver and frequency-severity decomposition, rolling monitors, banded summaries. Study functions over the canonical actuarialpy.Experience.</description>
      <pubDate>Sun, 12 Jul 2026 14:48:32 GMT</pubDate>
    </item>    <item>
      <title>0.3.1</title>
      <link>https://pypi.org/project/experiencestudies/0.3.1/</link>
      <description>Experience reporting and analysis on tidy tables: experience summaries and views, actual-versus-expected, claimant and cohort studies, driver and frequency-severity decomposition, rolling monitors, banded summaries, and the fluent Experience object. Built on actuarialpy.</description>
      <pubDate>Sat, 11 Jul 2026 16:18:28 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/experiencestudies/0.3.0/</link>
      <description>Experience reporting and analysis on tidy tables: experience summaries and views, actual-versus-expected, claimant and cohort studies, driver and frequency-severity decomposition, rolling monitors, banded summaries, and the fluent Experience object. Built on actuarialpy.</description>
      <pubDate>Thu, 09 Jul 2026 20:43:17 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/experiencestudies/0.1.0/</link>
      <description>Experience reporting and analysis on tidy tables: experience summaries and views, actual-versus-expected, claimant and cohort studies, driver and frequency-severity decomposition, rolling monitors, banded summaries, and the fluent Experience object. Built on actuarialpy.</description>
      <pubDate>Mon, 06 Jul 2026 23:36:56 GMT</pubDate>
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