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    <title>PyPI recent updates for pyoptima</title>
    <link>https://pypi.org/project/pyoptima/</link>
    <description>Recent updates to the Python Package Index for pyoptima</description>
    <language>en</language>    <item>
      <title>0.0.8</title>
      <link>https://pypi.org/project/pyoptima/0.0.8/</link>
      <description>Portfolio optimization with a sklearn-style API and config-driven workflows. Multiple objectives, constraints, and solvers.</description>
<author>na@example.com</author>      <pubDate>Fri, 06 Mar 2026 16:39:02 GMT</pubDate>
    </item>    <item>
      <title>0.0.7</title>
      <link>https://pypi.org/project/pyoptima/0.0.7/</link>
      <description>Portfolio optimization with a sklearn-style API and config-driven workflows. Multiple objectives, constraints, and solvers.</description>
<author>na@example.com</author>      <pubDate>Wed, 04 Mar 2026 16:58:05 GMT</pubDate>
    </item>    <item>
      <title>0.0.5</title>
      <link>https://pypi.org/project/pyoptima/0.0.5/</link>
      <description>Portfolio optimization with a sklearn-style API and config-driven workflows. Multiple objectives, constraints, and solvers.</description>
<author>na@example.com</author>      <pubDate>Thu, 29 Jan 2026 14:49:53 GMT</pubDate>
    </item>    <item>
      <title>0.0.4</title>
      <link>https://pypi.org/project/pyoptima/0.0.4/</link>
      <description>Portfolio optimization with a sklearn-style API and config-driven workflows. Multiple objectives, constraints, and solvers.</description>
<author>na@example.com</author>      <pubDate>Thu, 29 Jan 2026 07:45:26 GMT</pubDate>
    </item>    <item>
      <title>0.0.3</title>
      <link>https://pypi.org/project/pyoptima/0.0.3/</link>
      <description>Universal optimization framework - solve LP, QP, MIP, knapsack, TSP, scheduling, and more with a simple API</description>
<author>na@example.com</author>      <pubDate>Tue, 27 Jan 2026 13:52:13 GMT</pubDate>
    </item>    <item>
      <title>0.0.2</title>
      <link>https://pypi.org/project/pyoptima/0.0.2/</link>
      <description>Universal optimization framework - solve LP, QP, MIP, knapsack, TSP, scheduling, and more with a simple API</description>
<author>na@example.com</author>      <pubDate>Sat, 24 Jan 2026 00:49:57 GMT</pubDate>
    </item>    <item>
      <title>0.0.1</title>
      <link>https://pypi.org/project/pyoptima/0.0.1/</link>
      <description>A Python package for declarative optimization that accepts configuration files and performs optimizations using various solvers (CBC, GUROBI, GLPK)</description>
<author>na@example.com</author>      <pubDate>Sun, 04 Jan 2026 11:52:19 GMT</pubDate>
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