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    <title>PyPI recent updates for PyRandomLoop</title>
    <link>https://pypi.org/project/pyrandomloop/</link>
    <description>Recent updates to the Python Package Index for PyRandomLoop</description>
    <language>en</language>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/pyrandomloop/0.2.0/</link>
      <description>Provides a simulation framework for a random loop model in statistical mechanics, including initialization, simulation, and visualization capabilities.</description>
<author>lorenzo.gregoris@gmail.com</author>      <pubDate>Fri, 05 Jul 2024 13:19:44 GMT</pubDate>
    </item>    <item>
      <title>0.1.9</title>
      <link>https://pypi.org/project/pyrandomloop/0.1.9/</link>
      <description>Provides a simulation framework for a random loop model in statistical mechanics, including initialization, simulation, and visualization capabilities.</description>
<author>lorenzo.gregoris@gmail.com</author>      <pubDate>Wed, 13 Mar 2024 19:00:11 GMT</pubDate>
    </item>    <item>
      <title>0.1.8</title>
      <link>https://pypi.org/project/pyrandomloop/0.1.8/</link>
      <description>Provides a simulation framework for a random loop model in statistical mechanics, including initialization, simulation, and visualization capabilities.</description>
<author>lorenzo.gregoris@gmail.com</author>      <pubDate>Thu, 07 Mar 2024 21:13:17 GMT</pubDate>
    </item>    <item>
      <title>0.1.7</title>
      <link>https://pypi.org/project/pyrandomloop/0.1.7/</link>
      <description>Provides a simulation framework for a random loop model in statistical mechanics, including initialization, simulation, and visualization capabilities.</description>
<author>lorenzo.gregoris@gmail.com</author>      <pubDate>Thu, 07 Mar 2024 21:11:41 GMT</pubDate>
    </item>    <item>
      <title>0.1.6</title>
      <link>https://pypi.org/project/pyrandomloop/0.1.6/</link>
      <description>Provides a simulation framework for a random loop model in statistical mechanics, including initialization, simulation, and visualization capabilities.</description>
<author>lorenzo.gregoris@gmail.com</author>      <pubDate>Fri, 01 Mar 2024 18:52:19 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/pyrandomloop/0.1.5/</link>
      <description>Provides a simulation framework for a random loop model in statistical mechanics, including initialization, simulation, and visualization capabilities.</description>
<author>lorenzo.gregoris@gmail.com</author>      <pubDate>Fri, 01 Mar 2024 18:48:41 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/pyrandomloop/0.1.4/</link>
      <description>Provides a simulation framework for a random loop model in statistical mechanics, including initialization, simulation, and visualization capabilities.</description>
<author>lorenzo.gregoris@gmail.com</author>      <pubDate>Fri, 01 Mar 2024 18:06:07 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/pyrandomloop/0.1.3/</link>
      <description>Provides a simulation framework for a random loop model in statistical mechanics, including initialization, simulation, and visualization capabilities.</description>
<author>lorenzo.gregoris@gmail.com</author>      <pubDate>Fri, 01 Mar 2024 15:54:35 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/pyrandomloop/0.1.2/</link>
      <description>Provides a simulation framework for a random loop model in statistical mechanics, including initialization, simulation, and visualization capabilities.</description>
<author>lorenzo.gregoris@gmail.com</author>      <pubDate>Wed, 28 Feb 2024 19:42:58 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/pyrandomloop/0.1.1/</link>
      <description>The package provides a simulation framework for a random loop model in statistical mechanics, including initialization, simulation, and visualization capabilities. The core of the simulation is the class `stateSpace`. Features include performance optimizations, execution logging, and statistics calculation, alongside visualization tools for detailed analysis. Ideal for researchers and students in physics and related fields.</description>
<author>lorenzo.gregoris@gmail.com</author>      <pubDate>Wed, 28 Feb 2024 19:08:10 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/pyrandomloop/0.1.0/</link>
      <description>The package provides a simulation framework for a random loop model in statistical mechanics, including initialization, simulation, and visualization capabilities. The core of the simulation is the class `stateSpace`. Features include performance optimizations, execution logging, and statistics calculation, alongside visualization tools for detailed analysis. Ideal for researchers and students in physics and related fields.</description>
<author>lorenzo.gregoris@gmail.com</author>      <pubDate>Wed, 28 Feb 2024 18:51:26 GMT</pubDate>
    </item>  </channel>
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