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    <title>PyPI recent updates for pyedahelper</title>
    <link>https://pypi.org/project/pyedahelper/</link>
    <description>Recent updates to the Python Package Index for pyedahelper</description>
    <language>en</language>    <item>
      <title>1.0.9</title>
      <link>https://pypi.org/project/pyedahelper/1.0.9/</link>
      <description>An interactive cheat sheet, AI-powered guide for exploratory data analysis (EDA), and tools for data visualization, cleaning and feature engineering.</description>
<author>vchidiebere.vc@gmail.com</author>      <pubDate>Fri, 16 Jan 2026 15:12:32 GMT</pubDate>
    </item>    <item>
      <title>1.0.8</title>
      <link>https://pypi.org/project/pyedahelper/1.0.8/</link>
      <description>An interactive cheat sheet, AI-powered guide for exploratory data analysis (EDA), and tools for data visualization, cleaning and feature engineering.</description>
<author>vchidiebere.vc@gmail.com</author>      <pubDate>Fri, 16 Jan 2026 11:00:00 GMT</pubDate>
    </item>    <item>
      <title>1.0.7</title>
      <link>https://pypi.org/project/pyedahelper/1.0.7/</link>
      <description>An interactive cheat sheet, AI-powered guide for exploratory data analysis (EDA), and tools for data visualization, cleaning and feature engineering.</description>
<author>vchidiebere.vc@gmail.com</author>      <pubDate>Fri, 16 Jan 2026 09:04:27 GMT</pubDate>
    </item>    <item>
      <title>1.0.6</title>
      <link>https://pypi.org/project/pyedahelper/1.0.6/</link>
      <description>An interactive cheat sheet, AI-powered guide for exploratory data analysis (EDA), and tools for data visualization, cleaning and feature engineering.</description>
<author>chidiebere@example.com</author>      <pubDate>Thu, 15 Jan 2026 21:35:51 GMT</pubDate>
    </item>    <item>
      <title>1.0.4</title>
      <link>https://pypi.org/project/pyedahelper/1.0.4/</link>
      <description>An interactive cheat sheet, AI-powered guide for exploratory data analysis (EDA), and tools for data visualization, cleaning and feature engineering.</description>
<author>chidiebere@example.com</author>      <pubDate>Tue, 11 Nov 2025 12:53:11 GMT</pubDate>
    </item>    <item>
      <title>1.0.3</title>
      <link>https://pypi.org/project/pyedahelper/1.0.3/</link>
      <description>A beginner-friendly Python library that simplifies Exploratory Data Analysis (EDA) with AI-powered guide, and provides an interactive cheat-sheet for quick reference and tools for data visualization, cleaning and feature engineering.</description>
<author>vchidiebere.vc@gmail.com</author>      <pubDate>Tue, 11 Nov 2025 08:16:13 GMT</pubDate>
    </item>    <item>
      <title>1.0.2</title>
      <link>https://pypi.org/project/pyedahelper/1.0.2/</link>
      <description>A beginner-friendly Python library that simplifies Exploratory Data Analysis (EDA) and provides an interactive cheat-sheet for quick reference and tools for data visualization, cleaning and feature engineering.</description>
<author>vchidiebere.vc@gmail.com</author>      <pubDate>Tue, 04 Nov 2025 21:26:16 GMT</pubDate>
    </item>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/pyedahelper/1.0.0/</link>
      <description>A beginner-friendly Python library that simplifies Exploratory Data Analysis (EDA) and provides an interactive cheat-sheet for quick reference and tools for data visualization, cleaning and feature engineering.</description>
<author>vchidiebere.vc@gmail.com</author>      <pubDate>Tue, 04 Nov 2025 15:31:26 GMT</pubDate>
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