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    <title>PyPI recent updates for pydasa</title>
    <link>https://pypi.org/project/pydasa/</link>
    <description>Recent updates to the Python Package Index for pydasa</description>
    <language>en</language>    <item>
      <title>0.7.1</title>
      <link>https://pypi.org/project/pydasa/0.7.1/</link>
      <description>PyDASA is a Python library for dimensional analysis using the Buckingham Pi theorem across scientific and engineering domains.</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Wed, 08 Apr 2026 01:35:45 GMT</pubDate>
    </item>    <item>
      <title>0.7.0</title>
      <link>https://pypi.org/project/pydasa/0.7.0/</link>
      <description>PyDASA is a Python library for dimensional analysis using the Buckingham Pi theorem across scientific and engineering domains.</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Mon, 23 Mar 2026 15:37:12 GMT</pubDate>
    </item>    <item>
      <title>0.6.28</title>
      <link>https://pypi.org/project/pydasa/0.6.28/</link>
      <description>PyDASA is a Python library for dimensional analysis using the Buckingham Pi theorem across scientific and engineering domains.</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Fri, 20 Mar 2026 02:01:05 GMT</pubDate>
    </item>    <item>
      <title>0.6.27</title>
      <link>https://pypi.org/project/pydasa/0.6.27/</link>
      <description>PyDASA is a Python library for dimensional analysis using the Buckingham Pi theorem across scientific and engineering domains.</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Mon, 09 Mar 2026 04:58:53 GMT</pubDate>
    </item>    <item>
      <title>0.6.26</title>
      <link>https://pypi.org/project/pydasa/0.6.26/</link>
      <description>PyDASA is a Python library for dimensional analysis using the Buckingham Pi theorem across scientific and engineering domains.</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Sat, 21 Feb 2026 01:17:21 GMT</pubDate>
    </item>    <item>
      <title>0.6.25</title>
      <link>https://pypi.org/project/pydasa/0.6.25/</link>
      <description>PyDASA is a Python library for dimensional analysis using the Buckingham Pi theorem across scientific and engineering domains.</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Sat, 21 Feb 2026 01:12:09 GMT</pubDate>
    </item>    <item>
      <title>0.6.24</title>
      <link>https://pypi.org/project/pydasa/0.6.24/</link>
      <description>PyDASA is a Python library for dimensional analysis using the Buckingham Pi theorem across scientific and engineering domains.</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Sat, 21 Feb 2026 00:16:03 GMT</pubDate>
    </item>    <item>
      <title>0.6.23</title>
      <link>https://pypi.org/project/pydasa/0.6.23/</link>
      <description>PyDASA is a Python library for dimensional analysis using the Buckingham Pi theorem across scientific and engineering domains.</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Sat, 21 Feb 2026 00:09:43 GMT</pubDate>
    </item>    <item>
      <title>0.6.22</title>
      <link>https://pypi.org/project/pydasa/0.6.22/</link>
      <description>PyDASA is a Python library for dimensional analysis using the Buckingham Pi theorem across scientific and engineering domains.</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Sat, 21 Feb 2026 00:03:37 GMT</pubDate>
    </item>    <item>
      <title>0.6.21</title>
      <link>https://pypi.org/project/pydasa/0.6.21/</link>
      <description>PyDASA is a Python library for dimensional analysis using the Buckingham Pi theorem across scientific and engineering domains.</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Fri, 20 Feb 2026 23:54:15 GMT</pubDate>
    </item>    <item>
      <title>0.6.20</title>
      <link>https://pypi.org/project/pydasa/0.6.20/</link>
      <description>PyDASA is a Python library for dimensional analysis using the Buckingham Pi theorem across scientific and engineering domains.</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Fri, 20 Feb 2026 23:30:05 GMT</pubDate>
    </item>    <item>
      <title>0.6.19</title>
      <link>https://pypi.org/project/pydasa/0.6.19/</link>
      <description>PyDASA is a Python library for dimensional analysis using the Buckingham Pi theorem across scientific and engineering domains.</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Fri, 20 Feb 2026 23:16:22 GMT</pubDate>
    </item>    <item>
      <title>0.6.18</title>
      <link>https://pypi.org/project/pydasa/0.6.18/</link>
      <description>PyDASA is a Python library for dimensional analysis using the Buckingham Pi theorem across scientific and engineering domains.</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Fri, 20 Feb 2026 23:04:16 GMT</pubDate>
    </item>    <item>
      <title>0.6.17</title>
      <link>https://pypi.org/project/pydasa/0.6.17/</link>
      <description>PyDASA is a Python library for dimensional analysis using the Buckingham Pi theorem across scientific and engineering domains.</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Fri, 20 Feb 2026 22:56:18 GMT</pubDate>
    </item>    <item>
      <title>0.6.16</title>
      <link>https://pypi.org/project/pydasa/0.6.16/</link>
      <description>PyDASA is a Python library for dimensional analysis using the Buckingham Pi theorem across scientific and engineering domains.</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Fri, 20 Feb 2026 22:52:42 GMT</pubDate>
    </item>    <item>
      <title>0.6.15</title>
      <link>https://pypi.org/project/pydasa/0.6.15/</link>
      <description>PyDASA is a Python library for dimensional analysis using the Buckingham Pi theorem across scientific and engineering domains.</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Fri, 20 Feb 2026 22:48:39 GMT</pubDate>
    </item>    <item>
      <title>0.6.14</title>
      <link>https://pypi.org/project/pydasa/0.6.14/</link>
      <description>PyDASA is a Python library for dimensional analysis using the Buckingham Pi theorem across scientific and engineering domains.</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Fri, 20 Feb 2026 22:44:47 GMT</pubDate>
    </item>    <item>
      <title>0.6.13</title>
      <link>https://pypi.org/project/pydasa/0.6.13/</link>
      <description>PyDASA is a Python library for dimensional analysis using the Buckingham Pi theorem across scientific and engineering domains.</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Fri, 20 Feb 2026 22:01:38 GMT</pubDate>
    </item>    <item>
      <title>0.6.12</title>
      <link>https://pypi.org/project/pydasa/0.6.12/</link>
      <description>PyDASA is a Python library for dimensional analysis using the Buckingham Pi theorem across scientific and engineering domains.</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Fri, 20 Feb 2026 21:53:29 GMT</pubDate>
    </item>    <item>
      <title>0.6.11</title>
      <link>https://pypi.org/project/pydasa/0.6.11/</link>
      <description>PyDASA is a Python library for dimensional analysis using the Buckingham Pi theorem across scientific and engineering domains.</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Fri, 20 Feb 2026 21:08:03 GMT</pubDate>
    </item>    <item>
      <title>0.6.10</title>
      <link>https://pypi.org/project/pydasa/0.6.10/</link>
      <description>PyDASA is a Python library for dimensional analysis using the Buckingham Pi theorem across scientific and engineering domains.</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Wed, 11 Feb 2026 04:56:33 GMT</pubDate>
    </item>    <item>
      <title>0.6.9</title>
      <link>https://pypi.org/project/pydasa/0.6.9/</link>
      <description>PyDASA is a Python library for dimensional analysis using the Buckingham Pi theorem across scientific and engineering domains.</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Tue, 10 Feb 2026 05:42:32 GMT</pubDate>
    </item>    <item>
      <title>0.6.8</title>
      <link>https://pypi.org/project/pydasa/0.6.8/</link>
      <description>PyDASA (Dimensional Analysis for Scientific Applications and Software Architecture) is an open-source Python library for dimensional analysis of complex phenomena across physical, chemical, computational, and software domains using the Buckingham Pi-theorem.</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Mon, 09 Feb 2026 02:05:50 GMT</pubDate>
    </item>    <item>
      <title>0.6.7</title>
      <link>https://pypi.org/project/pydasa/0.6.7/</link>
      <description>PyDASA (Dimensional Analysis for Scientific Applications and Software Architecture) is an open-source Python library for dimensional analysis of complex phenomena across physical, chemical, computational, and software domains using the Buckingham Pi-theorem.</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Fri, 06 Feb 2026 06:05:21 GMT</pubDate>
    </item>    <item>
      <title>0.6.6</title>
      <link>https://pypi.org/project/pydasa/0.6.6/</link>
      <description>PyDASA (Dimensional Analysis for Scientific Applications and Software Architecture) is an open-source Python library for dimensional analysis of complex phenomena across physical, chemical, computational, and software domains using the Buckingham Pi-theorem.</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Tue, 03 Feb 2026 08:01:36 GMT</pubDate>
    </item>    <item>
      <title>0.6.5</title>
      <link>https://pypi.org/project/pydasa/0.6.5/</link>
      <description>PyDASA (Dimensional Analysis for Scientific Applications and Software Architecture) is an open-source Python library for dimensional analysis of complex phenomena across physical, chemical, computational, and software domains using the Buckingham Pi-theorem.</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Tue, 03 Feb 2026 07:35:20 GMT</pubDate>
    </item>    <item>
      <title>0.6.4</title>
      <link>https://pypi.org/project/pydasa/0.6.4/</link>
      <description>Python package for Dimensional Analysis for Scientific Applications and Software Architecture (PyDASA).</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Mon, 26 Jan 2026 14:38:12 GMT</pubDate>
    </item>    <item>
      <title>0.6.3</title>
      <link>https://pypi.org/project/pydasa/0.6.3/</link>
      <description>Python package for Dimensional Analysis for Scientific Applications and Software Architecture (PyDASA).</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Mon, 26 Jan 2026 06:02:46 GMT</pubDate>
    </item>    <item>
      <title>0.6.2</title>
      <link>https://pypi.org/project/pydasa/0.6.2/</link>
      <description>Python package for Dimensional Analysis for Scientific Applications and Software Architecture (PyDASA).</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Mon, 26 Jan 2026 01:43:56 GMT</pubDate>
    </item>    <item>
      <title>0.6.1</title>
      <link>https://pypi.org/project/pydasa/0.6.1/</link>
      <description>Python package for Dimensional Analysis for Scientific Applications and Software Architecture (PyDASA).</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Mon, 26 Jan 2026 01:22:40 GMT</pubDate>
    </item>    <item>
      <title>0.6.0</title>
      <link>https://pypi.org/project/pydasa/0.6.0/</link>
      <description>Python package for Dimensional Analysis for Scientific Applications and Software Architecture (PyDASA).</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Sun, 25 Jan 2026 21:42:04 GMT</pubDate>
    </item>    <item>
      <title>0.5.4</title>
      <link>https://pypi.org/project/pydasa/0.5.4/</link>
      <description>Python package for Dimensional Analysis for Scientific Applications and Software Architecture (PyDASA).</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Tue, 20 Jan 2026 02:47:13 GMT</pubDate>
    </item>    <item>
      <title>0.5.3</title>
      <link>https://pypi.org/project/pydasa/0.5.3/</link>
      <description>Python package for Dimensional Analysis for Scientific Applications and Software Architecture (PyDASA).</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Tue, 20 Jan 2026 02:12:30 GMT</pubDate>
    </item>    <item>
      <title>0.5.1</title>
      <link>https://pypi.org/project/pydasa/0.5.1/</link>
      <description>Python package for Dimensional Analysis for Scientific Applications and Software Architecture (PyDASA).</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Thu, 15 Jan 2026 08:09:05 GMT</pubDate>
    </item>    <item>
      <title>0.5.0</title>
      <link>https://pypi.org/project/pydasa/0.5.0/</link>
      <description>Python package for Dimensional Analysis for Scientific Applications and Software Architecture (PyDASA).</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Thu, 15 Jan 2026 08:07:43 GMT</pubDate>
    </item>    <item>
      <title>0.4.10</title>
      <link>https://pypi.org/project/pydasa/0.4.10/</link>
      <description>Python package for Dimensional Analysis for Scientific Applications and Software Architecture (PyDASA).</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Mon, 12 Jan 2026 05:27:40 GMT</pubDate>
    </item>    <item>
      <title>0.4.9</title>
      <link>https://pypi.org/project/pydasa/0.4.9/</link>
      <description>Python package for Dimensional Analysis for Scientific Applications and Software Architecture (PyDASA).</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Sat, 10 Jan 2026 20:31:32 GMT</pubDate>
    </item>    <item>
      <title>0.4.8</title>
      <link>https://pypi.org/project/pydasa/0.4.8/</link>
      <description>Python package for Dimensional Analysis for Scientific Applications and Software Architecture (PyDASA).</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Thu, 08 Jan 2026 15:50:49 GMT</pubDate>
    </item>    <item>
      <title>0.4.7</title>
      <link>https://pypi.org/project/pydasa/0.4.7/</link>
      <description>Python package for Dimensional Analysis for Scientific Applications and Software Architecture (PyDASA).</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Wed, 07 Jan 2026 05:28:28 GMT</pubDate>
    </item>    <item>
      <title>0.4.6</title>
      <link>https://pypi.org/project/pydasa/0.4.6/</link>
      <description>Python package for Dimensional Analysis for Scientific Applications and Software Architecture (PyDASA).</description>
<author>sa-artea@uniandes.edu.co</author>      <pubDate>Wed, 07 Jan 2026 05:13:46 GMT</pubDate>
    </item>  </channel>
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