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    <title>PyPI recent updates for EasyJupyter</title>
    <link>https://pypi.org/project/easyjupyter/</link>
    <description>Recent updates to the Python Package Index for EasyJupyter</description>
    <language>en</language>    <item>
      <title>0.2.1</title>
      <link>https://pypi.org/project/easyjupyter/0.2.1/</link>
      <description>EasyJupyter allows you to effortlessly integrate your Jupyter Notebook code into any Python project or other notebooks.</description>
      <pubDate>Sat, 16 May 2026 20:11:12 GMT</pubDate>
    </item>    <item>
      <title>0.1.9</title>
      <link>https://pypi.org/project/easyjupyter/0.1.9/</link>
      <description>EasyJupyter allows you to effortlessly integrate your Jupyter Notebook code into any Python project or other notebooks.</description>
      <pubDate>Sat, 25 Apr 2026 08:08:05 GMT</pubDate>
    </item>    <item>
      <title>0.1.8</title>
      <link>https://pypi.org/project/easyjupyter/0.1.8/</link>
      <description>EasyJupyter allows you to effortlessly integrate your Jupyter Notebook code into any Python project or other notebooks.</description>
      <pubDate>Wed, 22 Apr 2026 09:58:00 GMT</pubDate>
    </item>    <item>
      <title>0.1.7</title>
      <link>https://pypi.org/project/easyjupyter/0.1.7/</link>
      <description>EasyJupyter allows you to effortlessly integrate your Jupyter Notebook code into any Python project or other notebooks.</description>
      <pubDate>Wed, 22 Apr 2026 09:44:41 GMT</pubDate>
    </item>    <item>
      <title>0.1.6</title>
      <link>https://pypi.org/project/easyjupyter/0.1.6/</link>
      <description>EasyJupyter allows you to effortlessly integrate your Jupyter Notebook code into any Python project or other notebooks.</description>
      <pubDate>Thu, 16 Apr 2026 02:36:45 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/easyjupyter/0.1.5/</link>
      <description>EasyJupyter allows you to effortlessly integrate your Jupyter Notebook code into any Python project or other notebooks.</description>
      <pubDate>Tue, 14 Apr 2026 23:01:00 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/easyjupyter/0.1.4/</link>
      <description>EasyJupyter allows you to seamlessly integrate your Jupyter Notebook code into Python projects or other notebooks. It transforms your notebooks into reusable modules, enabling you to leverage their interactive development environment while maintaining their native display for documentation and collaboration.</description>
      <pubDate>Wed, 08 Apr 2026 04:43:02 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/easyjupyter/0.1.3/</link>
      <description>EasyJupyter allows you to seamlessly integrate your Jupyter Notebook code into Python projects or other notebooks. It transforms your notebooks into reusable modules, enabling you to leverage their interactive development environment while maintaining their native display for documentation and collaboration.</description>
      <pubDate>Mon, 06 Apr 2026 22:35:29 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/easyjupyter/0.1.2/</link>
      <description>EasyJupyter allows you to seamlessly integrate your Jupyter Notebook code into Python projects or other notebooks. It transforms your notebooks into reusable modules, enabling you to leverage their interactive development environment while maintaining their native display for documentation and collaboration.</description>
      <pubDate>Mon, 06 Apr 2026 21:52:37 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/easyjupyter/0.1.1/</link>
      <description>Integrate code from Jupyter Notebooks directly into Python projects while retaining native GitHub rendering.</description>
      <pubDate>Mon, 06 Apr 2026 01:22:52 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/easyjupyter/0.1.0/</link>
      <description>Integrate code from Jupyter Notebooks directly into Python projects while retaining native GitHub rendering.</description>
      <pubDate>Mon, 06 Apr 2026 01:13:13 GMT</pubDate>
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