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    <title>PyPI recent updates for dataglass</title>
    <link>https://pypi.org/project/dataglass/</link>
    <description>Recent updates to the Python Package Index for dataglass</description>
    <language>en</language>    <item>
      <title>0.8.1</title>
      <link>https://pypi.org/project/dataglass/0.8.1/</link>
      <description>dataglass is a Python library for data preprocessing, exploratory data analysis (EDA), and machine learning. It includes modules for handling missing values, detecting and resolving duplicates, managing outliers, feature encoding, type conversion, scaling, and pipeline integration. With its latest update, dataglass introduces intelligent automation which dynamically adapting preprocessing steps based on dataset characteristics, minimizing manual configuration and accelerating your workflow.</description>
<author>saman.teymouri@gmail.com</author>      <pubDate>Sun, 07 Sep 2025 07:54:03 GMT</pubDate>
    </item>    <item>
      <title>0.8.0</title>
      <link>https://pypi.org/project/dataglass/0.8.0/</link>
      <description>dataglass is a Python library for data preprocessing, exploratory data analysis (EDA), and machine learning. It includes modules for handling missing values, detecting and resolving duplicates, managing outliers, feature encoding, type conversion, scaling, and pipeline integration. With its latest update, dataglass introduces intelligent automation which dynamically adapting preprocessing steps based on dataset characteristics, minimizing manual configuration and accelerating your workflow.</description>
<author>saman.teymouri@gmail.com</author>      <pubDate>Thu, 31 Jul 2025 15:14:22 GMT</pubDate>
    </item>    <item>
      <title>0.7.0</title>
      <link>https://pypi.org/project/dataglass/0.7.0/</link>
      <description>A Python library for data preprocessing, exploratory data analysis (EDA), and machine learning. This version implements the preprocessing module, including missing value handling, duplicate detection and handling, outlier handling, feature encoding, type conversion, feature scaling, and pipeline compatibility.</description>
<author>saman.teymouri@gmail.com</author>      <pubDate>Tue, 13 May 2025 16:55:40 GMT</pubDate>
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