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    <title>PyPI recent updates for CleansiPy</title>
    <link>https://pypi.org/project/cleansipy/</link>
    <description>Recent updates to the Python Package Index for CleansiPy</description>
    <language>en</language>    <item>
      <title>0.1.13</title>
      <link>https://pypi.org/project/cleansipy/0.1.13/</link>
      <description>a modular Python package for cleaning text, categorical, numerical, and datetime data. It offers configurable pipelines with support for preprocessing, typo correction, encoding, imputation, logging, parallel processing, and audit reporting—perfect for data scientists handling messy, real-world datasets in ML workflows.</description>
      <pubDate>Mon, 14 Jul 2025 15:05:09 GMT</pubDate>
    </item>    <item>
      <title>0.1.12</title>
      <link>https://pypi.org/project/cleansipy/0.1.12/</link>
      <description>a modular Python package for cleaning text, categorical, numerical, and datetime data. It offers configurable pipelines with support for preprocessing, typo correction, encoding, imputation, logging, parallel processing, and audit reporting—perfect for data scientists handling messy, real-world datasets in ML workflows.</description>
      <pubDate>Sun, 13 Jul 2025 17:40:01 GMT</pubDate>
    </item>    <item>
      <title>0.1.10</title>
      <link>https://pypi.org/project/cleansipy/0.1.10/</link>
      <description>a modular Python package for cleaning text, categorical, numerical, and datetime data. It offers configurable pipelines with support for preprocessing, typo correction, encoding, imputation, logging, parallel processing, and audit reporting—perfect for data scientists handling messy, real-world datasets in ML workflows.</description>
      <pubDate>Thu, 12 Jun 2025 13:15:27 GMT</pubDate>
    </item>    <item>
      <title>0.1.6</title>
      <link>https://pypi.org/project/cleansipy/0.1.6/</link>
      <description>a modular Python package for cleaning text, categorical, numerical, and datetime data. It offers configurable pipelines with support for preprocessing, typo correction, encoding, imputation, logging, parallel processing, and audit reporting—perfect for data scientists handling messy, real-world datasets in ML workflows.</description>
      <pubDate>Thu, 12 Jun 2025 11:31:06 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/cleansipy/0.1.5/</link>
      <description>a modular Python package for cleaning text, categorical, numerical, and datetime data. It offers configurable pipelines with support for preprocessing, typo correction, encoding, imputation, logging, parallel processing, and audit reporting—perfect for data scientists handling messy, real-world datasets in ML workflows.</description>
      <pubDate>Thu, 12 Jun 2025 11:25:16 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/cleansipy/0.1.4/</link>
      <description>a modular Python package for cleaning text, categorical, numerical, and datetime data. It offers configurable pipelines with support for preprocessing, typo correction, encoding, imputation, logging, parallel processing, and audit reporting—perfect for data scientists handling messy, real-world datasets in ML workflows.</description>
      <pubDate>Thu, 12 Jun 2025 11:13:58 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/cleansipy/0.1.0/</link>
      <description>a modular Python package for cleaning text, categorical, numerical, and datetime data. It offers configurable pipelines with support for preprocessing, typo correction, encoding, imputation, logging, parallel processing, and audit reporting—perfect for data scientists handling messy, real-world datasets in ML workflows.</description>
      <pubDate>Thu, 12 Jun 2025 10:28:47 GMT</pubDate>
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