<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0">
  <channel>
    <title>PyPI recent updates for datashard</title>
    <link>https://pypi.org/project/datashard/</link>
    <description>Recent updates to the Python Package Index for datashard</description>
    <language>en</language>    <item>
      <title>0.5.4</title>
      <link>https://pypi.org/project/datashard/0.5.4/</link>
      <description>Safe concurrent data operations for ML/AI workloads, Python implementation of Apache Iceberg concepts with S3 support</description>
<author>contact@rodmena.com</author>      <pubDate>Mon, 29 Dec 2025 05:50:43 GMT</pubDate>
    </item>    <item>
      <title>0.5.3</title>
      <link>https://pypi.org/project/datashard/0.5.3/</link>
      <description>Safe concurrent data operations for ML/AI workloads, Python implementation of Apache Iceberg concepts with S3 support</description>
<author>contact@rodmena.com</author>      <pubDate>Wed, 17 Dec 2025 20:11:58 GMT</pubDate>
    </item>    <item>
      <title>0.5.2</title>
      <link>https://pypi.org/project/datashard/0.5.2/</link>
      <description>Safe concurrent data operations for ML/AI workloads, Python implementation of Apache Iceberg concepts with S3 support</description>
<author>contact@rodmena.com</author>      <pubDate>Sun, 14 Dec 2025 16:08:27 GMT</pubDate>
    </item>    <item>
      <title>0.5.1</title>
      <link>https://pypi.org/project/datashard/0.5.1/</link>
      <description>Safe concurrent data operations for ML/AI workloads, Python implementation of Apache Iceberg concepts with S3 support</description>
<author>contact@rodmena.com</author>      <pubDate>Fri, 05 Dec 2025 11:24:42 GMT</pubDate>
    </item>    <item>
      <title>0.4.1</title>
      <link>https://pypi.org/project/datashard/0.4.1/</link>
      <description>Safe concurrent data operations for ML/AI workloads, Python implementation of Apache Iceberg concepts with S3 support</description>
<author>contact@rodmena.com</author>      <pubDate>Sun, 30 Nov 2025 09:14:42 GMT</pubDate>
    </item>    <item>
      <title>0.4.0</title>
      <link>https://pypi.org/project/datashard/0.4.0/</link>
      <description>Safe concurrent data operations for ML/AI workloads, Python implementation of Apache Iceberg concepts with S3 support</description>
<author>contact@rodmena.com</author>      <pubDate>Sun, 30 Nov 2025 08:16:33 GMT</pubDate>
    </item>    <item>
      <title>0.3.3</title>
      <link>https://pypi.org/project/datashard/0.3.3/</link>
      <description>Safe concurrent data operations for ML/AI workloads, Python implementation of Apache Iceberg concepts with S3 support</description>
<author>contact@rodmena.com</author>      <pubDate>Thu, 27 Nov 2025 13:22:27 GMT</pubDate>
    </item>    <item>
      <title>0.3.2</title>
      <link>https://pypi.org/project/datashard/0.3.2/</link>
      <description>Safe concurrent data operations for ML/AI workloads, Python implementation of Apache Iceberg concepts with S3 support</description>
<author>contact@rodmena.com</author>      <pubDate>Thu, 27 Nov 2025 01:21:23 GMT</pubDate>
    </item>    <item>
      <title>0.3.1</title>
      <link>https://pypi.org/project/datashard/0.3.1/</link>
      <description>Safe concurrent data operations for ML/AI workloads, Python implementation of Apache Iceberg concepts with S3 support</description>
<author>contact@rodmena.com</author>      <pubDate>Wed, 26 Nov 2025 05:13:31 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/datashard/0.3.0/</link>
      <description>Safe concurrent data operations for ML/AI workloads, Python implementation of Apache Iceberg concepts with S3 support</description>
<author>contact@rodmena.com</author>      <pubDate>Mon, 24 Nov 2025 20:49:48 GMT</pubDate>
    </item>    <item>
      <title>0.2.9</title>
      <link>https://pypi.org/project/datashard/0.2.9/</link>
      <description>Safe concurrent data operations for ML/AI workloads, Python implementation of Apache Iceberg concepts with S3 support</description>
<author>contact@rodmena.com</author>      <pubDate>Mon, 24 Nov 2025 20:35:55 GMT</pubDate>
    </item>    <item>
      <title>0.2.8</title>
      <link>https://pypi.org/project/datashard/0.2.8/</link>
      <description>Safe concurrent data operations for ML/AI workloads, Python implementation of Apache Iceberg concepts with S3 support</description>
<author>contact@rodmena.com</author>      <pubDate>Fri, 21 Nov 2025 04:34:18 GMT</pubDate>
    </item>    <item>
      <title>0.2.6</title>
      <link>https://pypi.org/project/datashard/0.2.6/</link>
      <description>Safe concurrent data operations for ML/AI workloads, Python implementation of Apache Iceberg concepts with S3 support</description>
<author>contact@rodmena.com</author>      <pubDate>Mon, 17 Nov 2025 09:14:09 GMT</pubDate>
    </item>    <item>
      <title>0.2.5</title>
      <link>https://pypi.org/project/datashard/0.2.5/</link>
      <description>Safe concurrent data operations for ML/AI workloads, Python implementation of Apache Iceberg concepts with S3 support</description>
<author>contact@rodmena.com</author>      <pubDate>Mon, 17 Nov 2025 09:08:36 GMT</pubDate>
    </item>    <item>
      <title>0.2.4</title>
      <link>https://pypi.org/project/datashard/0.2.4/</link>
      <description>Safe concurrent data operations for ML/AI workloads, Python implementation of Apache Iceberg concepts with S3 support</description>
<author>contact@rodmena.com</author>      <pubDate>Mon, 17 Nov 2025 09:01:25 GMT</pubDate>
    </item>    <item>
      <title>0.2.3</title>
      <link>https://pypi.org/project/datashard/0.2.3/</link>
      <description>Safe concurrent data operations for ML/AI workloads, Python implementation of Apache Iceberg concepts with S3 support</description>
<author>contact@rodmena.com</author>      <pubDate>Fri, 14 Nov 2025 23:41:34 GMT</pubDate>
    </item>    <item>
      <title>0.2.1</title>
      <link>https://pypi.org/project/datashard/0.2.1/</link>
      <description>Safe concurrent data operations for ML/AI workloads, Python implementation of Apache Iceberg concepts</description>
<author>contact@rodmena.com</author>      <pubDate>Fri, 14 Nov 2025 21:45:46 GMT</pubDate>
    </item>    <item>
      <title>0.1.6</title>
      <link>https://pypi.org/project/datashard/0.1.6/</link>
      <description>Safe concurrent data operations for ML/AI workloads, Python implementation of Apache Iceberg concepts</description>
<author>farsheed.ashouri@gmail.com</author>      <pubDate>Fri, 14 Nov 2025 07:16:15 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/datashard/0.1.5/</link>
      <description>Safe concurrent data operations for ML/AI workloads, Python implementation of Apache Iceberg concepts</description>
<author>farsheed.ashouri@gmail.com</author>      <pubDate>Fri, 14 Nov 2025 07:07:41 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/datashard/0.1.4/</link>
      <description>Safe concurrent data operations for ML/AI workloads, Python implementation of Apache Iceberg concepts</description>
<author>farsheed.ashouri@gmail.com</author>      <pubDate>Thu, 13 Nov 2025 22:20:08 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/datashard/0.1.3/</link>
      <description>Safe concurrent data operations for ML/AI workloads, Python implementation of Apache Iceberg concepts</description>
<author>farsheed.ashouri@gmail.com</author>      <pubDate>Thu, 13 Nov 2025 22:07:21 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/datashard/0.1.2/</link>
      <description>Safe concurrent data operations for ML/AI workloads, Python implementation of Apache Iceberg concepts</description>
<author>farsheed.ashouri@gmail.com</author>      <pubDate>Thu, 13 Nov 2025 21:59:24 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/datashard/0.1.1/</link>
      <description>Safe concurrent data operations for ML/AI workloads, Python implementation of Apache Iceberg concepts</description>
<author>farsheed.ashouri@gmail.com</author>      <pubDate>Thu, 13 Nov 2025 21:47:27 GMT</pubDate>
    </item>  </channel>
</rss>