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    <title>PyPI recent updates for numpy2</title>
    <link>https://pypi.org/project/numpy2/</link>
    <description>Recent updates to the Python Package Index for numpy2</description>
    <language>en</language>    <item>
      <title>2.4.4</title>
      <link>https://pypi.org/project/numpy2/2.4.4/</link>
      <description>numpy2: Pure-Python NumPy drop-in replacement with zero dependencies. Fixes numpy JSON serialization errors, broadcasting confusion with named dimensions, NaN/Inf handling, thread safety, JAX-style vmapped vectorization, array caching, compression, pipelines, validation, scan operations, lazy arrays, and seamless web framework integration for FastAPI, Flask, and Django. Drop-in import: numpy2 as np</description>
<author>maheshmakwana527@gmail.com</author>      <pubDate>Sun, 17 May 2026 08:38:20 GMT</pubDate>
    </item>    <item>
      <title>2.4.3</title>
      <link>https://pypi.org/project/numpy2/2.4.3/</link>
      <description>numpy2: Pure-Python NumPy drop-in replacement with zero dependencies. Fixes numpy JSON serialization errors, broadcasting confusion with named dimensions, NaN/Inf handling, thread safety, JAX-style vmapped vectorization, array caching, compression, pipelines, validation, scan operations, lazy arrays, and seamless web framework integration for FastAPI, Flask, and Django. Drop-in import: numpy2 as np</description>
<author>maheshmakwana527@gmail.com</author>      <pubDate>Sun, 17 May 2026 08:28:29 GMT</pubDate>
    </item>    <item>
      <title>2.4.2</title>
      <link>https://pypi.org/project/numpy2/2.4.2/</link>
      <description>numpy2: Pure-Python NumPy drop-in replacement with zero dependencies. Fixes numpy JSON serialization errors, broadcasting confusion with named dimensions, NaN/Inf handling, thread safety, JAX-style vmapped vectorization, array caching, compression, pipelines, validation, scan operations, lazy arrays, and seamless web framework integration for FastAPI, Flask, and Django. Drop-in import: numpy2 as np</description>
<author>maheshmakwana527@gmail.com</author>      <pubDate>Sat, 16 May 2026 23:04:28 GMT</pubDate>
    </item>    <item>
      <title>2.4.1</title>
      <link>https://pypi.org/project/numpy2/2.4.1/</link>
      <description>numpy2: Pure-Python NumPy drop-in replacement with zero dependencies. Fixes numpy JSON serialization errors, broadcasting confusion with named dimensions, NaN/Inf handling, thread safety, JAX-style vmapped vectorization, array caching, compression, pipelines, validation, scan operations, lazy arrays, and seamless web framework integration for FastAPI, Flask, and Django. Drop-in import: numpy2 as np</description>
<author>mahesh.makvana@example.com</author>      <pubDate>Sat, 16 May 2026 22:47:15 GMT</pubDate>
    </item>    <item>
      <title>2.4.0</title>
      <link>https://pypi.org/project/numpy2/2.4.0/</link>
      <description>Pure-Python NumPy drop-in: full NumPy API + JSON serialization, array compression, pipeline transforms, schema validation, zero dependencies</description>
<author>mahesh.makvana@example.com</author>      <pubDate>Sat, 16 May 2026 22:39:21 GMT</pubDate>
    </item>    <item>
      <title>2.2.0</title>
      <link>https://pypi.org/project/numpy2/2.2.0/</link>
      <description>Pure-Python NumPy drop-in: full NumPy API + JSON serialization, array compression, pipeline transforms, schema validation, zero dependencies</description>
<author>mahesh.makvana@example.com</author>      <pubDate>Wed, 13 May 2026 10:10:25 GMT</pubDate>
    </item>    <item>
      <title>2.1.0</title>
      <link>https://pypi.org/project/numpy2/2.1.0/</link>
      <description>Pure-Python NumPy drop-in: full NumPy API + JSON serialization, array compression, pipeline transforms, schema validation, zero dependencies</description>
<author>mahesh.makvana@example.com</author>      <pubDate>Fri, 10 Apr 2026 10:35:22 GMT</pubDate>
    </item>    <item>
      <title>2.0.1</title>
      <link>https://pypi.org/project/numpy2/2.0.1/</link>
      <description>Pure-Python NumPy drop-in: full NumPy API + JSON serialization, FastAPI/Flask/Django integration, zero dependencies</description>
<author>mahesh.makvana@example.com</author>      <pubDate>Wed, 08 Apr 2026 10:49:58 GMT</pubDate>
    </item>    <item>
      <title>2.0.0</title>
      <link>https://pypi.org/project/numpy2/2.0.0/</link>
      <description>Drop-in NumPy replacement with web superpowers — full NumPy API + JSON serialization, FastAPI/Flask/Django integration</description>
<author>mahesh.makvana@example.com</author>      <pubDate>Wed, 08 Apr 2026 10:12:24 GMT</pubDate>
    </item>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/numpy2/1.0.0/</link>
      <description>Advanced NumPy for Web Applications - JSON serialization, type conversion, framework integration</description>
<author>mahesh.makvana@example.com</author>      <pubDate>Wed, 08 Apr 2026 07:23:30 GMT</pubDate>
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