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    <title>PyPI recent updates for lasmnemonicsid</title>
    <link>https://pypi.org/project/lasmnemonicsid/</link>
    <description>Recent updates to the Python Package Index for lasmnemonicsid</description>
    <language>en</language>    <item>
      <title>0.0.5</title>
      <link>https://pypi.org/project/lasmnemonicsid/0.0.5/</link>
      <description>Well log mnemonic identification using lasio and dlisio to load LAS/DLIS/ASCII files into DataFrames</description>
<author>info@nobleza-energy.com</author>      <pubDate>Thu, 05 Feb 2026 15:44:50 GMT</pubDate>
    </item>    <item>
      <title>0.0.3rc0</title>
      <link>https://pypi.org/project/lasmnemonicsid/0.0.3rc0/</link>
      <description>Well log mnemonic identification using lasio and dlisio to load LAS/DLIS files into DataFrames</description>
<author>info@nobleza-energy.com</author>      <pubDate>Wed, 28 Jan 2026 22:12:03 GMT</pubDate>
    </item>    <item>
      <title>0.0.2</title>
      <link>https://pypi.org/project/lasmnemonicsid/0.0.2/</link>
      <description>Well log mnemonic identification using lasio and dlisio to load LAS/DLIS files into DataFrames</description>
<author>info@nobleza-energy.com</author>      <pubDate>Tue, 20 Jan 2026 22:28:09 GMT</pubDate>
    </item>    <item>
      <title>0.0.1.dev4</title>
      <link>https://pypi.org/project/lasmnemonicsid/0.0.1.dev4/</link>
      <description>Well log mnemonic identification using lasio and dlisio to load LAS/DLIS files into DataFrames</description>
<author>info@nobleza-energy.com</author>      <pubDate>Tue, 20 Jan 2026 21:52:46 GMT</pubDate>
    </item>    <item>
      <title>0.0.1rc0</title>
      <link>https://pypi.org/project/lasmnemonicsid/0.0.1rc0/</link>
      <description>Well log mnemonic identification using lasio and dlisio to load LAS/DLIS files into DataFrames</description>
<author>info@nobleza-energy.com</author>      <pubDate>Tue, 20 Jan 2026 21:06:15 GMT</pubDate>
    </item>    <item>
      <title>0.0.1b0</title>
      <link>https://pypi.org/project/lasmnemonicsid/0.0.1b0/</link>
      <description>Well log mnemonic identification using lasio and dlisio to load LAS/DLIS files into DataFrames</description>
<author>info@nobleza-energy.com</author>      <pubDate>Tue, 20 Jan 2026 20:45:06 GMT</pubDate>
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