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    <title>PyPI recent updates for standardizex</title>
    <link>https://pypi.org/project/standardizex/</link>
    <description>Recent updates to the Python Package Index for standardizex</description>
    <language>en</language>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/standardizex/1.0.0/</link>
      <description>Standardizex is a Python package that streamlines data standardization for Delta format tables through a configuration-driven approach.</description>
<author>dataaienthusiast128@gmail.com</author>      <pubDate>Sat, 04 Jan 2025 06:19:08 GMT</pubDate>
    </item>    <item>
      <title>0.0.5</title>
      <link>https://pypi.org/project/standardizex/0.0.5/</link>
      <description>Standardizex is a Python package that streamlines data standardization for Delta format tables through a configuration-driven approach.</description>
<author>dataaienthusiast128@gmail.com</author>      <pubDate>Fri, 03 Jan 2025 06:22:26 GMT</pubDate>
    </item>    <item>
      <title>0.0.4</title>
      <link>https://pypi.org/project/standardizex/0.0.4/</link>
      <description>Standardizex is a Python package that streamlines data standardization for Delta format tables through a configuration-driven approach.</description>
<author>dataaienthusiast128@gmail.com</author>      <pubDate>Thu, 02 Jan 2025 07:15:14 GMT</pubDate>
    </item>    <item>
      <title>0.0.3</title>
      <link>https://pypi.org/project/standardizex/0.0.3/</link>
      <description>Standardizex is a Python package that streamlines data standardization for Delta format tables through a configuration-driven approach.</description>
<author>dataaienthusiast128@gmail.com</author>      <pubDate>Thu, 02 Jan 2025 05:55:47 GMT</pubDate>
    </item>    <item>
      <title>0.0.2</title>
      <link>https://pypi.org/project/standardizex/0.0.2/</link>
      <description>Standardizex is a Python package that streamlines data standardization for Delta format tables through a configuration-driven approach. It helps transform raw data products into consistent, high-quality standardized outputs by offering capabilities such as 🗑️ removing unnecessary columns, 🔄 renaming columns, 🔧 modifying data types, 📝 updating column metadata, 🔄 applying complex transformations, and ➕ adding new derived columns seamlessly.</description>
<author>dataaienthusiast128@gmail.com</author>      <pubDate>Tue, 31 Dec 2024 05:29:22 GMT</pubDate>
    </item>    <item>
      <title>0.0.1</title>
      <link>https://pypi.org/project/standardizex/0.0.1/</link>
      <description>None</description>
<author>dataaienthusiast128@gmail.com</author>      <pubDate>Mon, 30 Dec 2024 05:53:17 GMT</pubDate>
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