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    <title>topic What's New: Intel® Distribution for Python* 2025.2 in Intel® Distribution for Python*</title>
    <link>https://community.intel.com/t5/Intel-Distribution-for-Python/What-s-New-Intel-Distribution-for-Python-2025-2/m-p/1700892#M2280</link>
    <description>&lt;P&gt;The Intel® Distribution for Python, 2025.2 has been updated to include functional and security updates. Users should update to the latest version. For more details on security and known issues, please check out&amp;nbsp;&lt;A href="https://www.intel.com/content/www/us/en/developer/articles/troubleshooting/python-known-issues.html" data-cke-saved-href="https://www.intel.com/content/www/us/en/developer/articles/troubleshooting/python-known-issues.html" target="_blank"&gt;Intel® Distribution for Python* Known Issues&lt;/A&gt;.&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Deprecation notice&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;Starting with the 2025.2 release, the standalone installer will no longer be provided. You can check out all the available installation methods &lt;A href="https://www.intel.com/content/www/us/en/developer/tools/oneapi/distribution-python-download.html" data-cke-saved-href="https://www.intel.com/content/www/us/en/developer/tools/oneapi/distribution-python-download.html" target="_blank"&gt;here&lt;/A&gt;.&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;What’s new&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;The mkl_fft package includes the following improvements:&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;FFT functions now support the&amp;nbsp;&lt;SPAN class="code-simple"&gt;out&lt;/SPAN&gt; keyword argument.&lt;/LI&gt;
&lt;LI&gt;The interface for numpy&amp;nbsp;(mkl_fft.interfaces.numpy_fft) is aligned with NumPy 2.x.x.&lt;/LI&gt;
&lt;LI&gt;The interface for scipy (mkl_fft.interfaces.scipy_fft) is aligned with SciPy 1.15.x.&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;&lt;EM&gt;Data Parallel Control Library*&lt;/EM&gt;&amp;nbsp;includes the following improvements:&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;Support for the composite devices extension.&lt;/LI&gt;
&lt;LI&gt;Support for calling kernels with local_accessor, work_group_memory, and raw_kernel_arg from Python.&lt;/LI&gt;
&lt;LI&gt;Dpctl.tensor conformity to 2024.12 array API specification.&lt;/LI&gt;
&lt;LI&gt;Enabling the use of compiler flags to build dpctl for specific Intel&amp;nbsp;architectures.&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;&lt;EM&gt;Data Parallel Extension for Python* language&lt;/EM&gt;&amp;nbsp;includes the following improvements:&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;Conformity to 2024.12 array API specification.&lt;/LI&gt;
&lt;LI&gt;NumPy/CuPy functions&amp;nbsp;gap closure, new support for:
&lt;UL&gt;
&lt;LI&gt;Statistics functions: median, percentile, quantile + nan-like&lt;/LI&gt;
&lt;LI&gt;Windows functions&lt;/LI&gt;
&lt;LI&gt;Elementwise functions: bitwise_count, convolve, divmod, frexp, interp, modf&lt;/LI&gt;
&lt;LI&gt;Indexing routine: putmask &amp;amp; special classes&lt;/LI&gt;
&lt;/UL&gt;
&lt;/LI&gt;
&lt;LI&gt;Compatibility with NumPy 2.2.4.&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;Other improvements:&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;The mkl_umath package&amp;nbsp;is now aligned with numpy-2.x.x.&lt;/LI&gt;
&lt;LI&gt;The&amp;nbsp;mkl_service package now&amp;nbsp;supports Python 3.13.&lt;/LI&gt;
&lt;/UL&gt;</description>
    <pubDate>Tue, 01 Jul 2025 15:42:53 GMT</pubDate>
    <dc:creator>StefR_Intel</dc:creator>
    <dc:date>2025-07-01T15:42:53Z</dc:date>
    <item>
      <title>What's New: Intel® Distribution for Python* 2025.2</title>
      <link>https://community.intel.com/t5/Intel-Distribution-for-Python/What-s-New-Intel-Distribution-for-Python-2025-2/m-p/1700892#M2280</link>
      <description>&lt;P&gt;The Intel® Distribution for Python, 2025.2 has been updated to include functional and security updates. Users should update to the latest version. For more details on security and known issues, please check out&amp;nbsp;&lt;A href="https://www.intel.com/content/www/us/en/developer/articles/troubleshooting/python-known-issues.html" data-cke-saved-href="https://www.intel.com/content/www/us/en/developer/articles/troubleshooting/python-known-issues.html" target="_blank"&gt;Intel® Distribution for Python* Known Issues&lt;/A&gt;.&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Deprecation notice&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;Starting with the 2025.2 release, the standalone installer will no longer be provided. You can check out all the available installation methods &lt;A href="https://www.intel.com/content/www/us/en/developer/tools/oneapi/distribution-python-download.html" data-cke-saved-href="https://www.intel.com/content/www/us/en/developer/tools/oneapi/distribution-python-download.html" target="_blank"&gt;here&lt;/A&gt;.&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;What’s new&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;The mkl_fft package includes the following improvements:&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;FFT functions now support the&amp;nbsp;&lt;SPAN class="code-simple"&gt;out&lt;/SPAN&gt; keyword argument.&lt;/LI&gt;
&lt;LI&gt;The interface for numpy&amp;nbsp;(mkl_fft.interfaces.numpy_fft) is aligned with NumPy 2.x.x.&lt;/LI&gt;
&lt;LI&gt;The interface for scipy (mkl_fft.interfaces.scipy_fft) is aligned with SciPy 1.15.x.&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;&lt;EM&gt;Data Parallel Control Library*&lt;/EM&gt;&amp;nbsp;includes the following improvements:&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;Support for the composite devices extension.&lt;/LI&gt;
&lt;LI&gt;Support for calling kernels with local_accessor, work_group_memory, and raw_kernel_arg from Python.&lt;/LI&gt;
&lt;LI&gt;Dpctl.tensor conformity to 2024.12 array API specification.&lt;/LI&gt;
&lt;LI&gt;Enabling the use of compiler flags to build dpctl for specific Intel&amp;nbsp;architectures.&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;&lt;EM&gt;Data Parallel Extension for Python* language&lt;/EM&gt;&amp;nbsp;includes the following improvements:&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;Conformity to 2024.12 array API specification.&lt;/LI&gt;
&lt;LI&gt;NumPy/CuPy functions&amp;nbsp;gap closure, new support for:
&lt;UL&gt;
&lt;LI&gt;Statistics functions: median, percentile, quantile + nan-like&lt;/LI&gt;
&lt;LI&gt;Windows functions&lt;/LI&gt;
&lt;LI&gt;Elementwise functions: bitwise_count, convolve, divmod, frexp, interp, modf&lt;/LI&gt;
&lt;LI&gt;Indexing routine: putmask &amp;amp; special classes&lt;/LI&gt;
&lt;/UL&gt;
&lt;/LI&gt;
&lt;LI&gt;Compatibility with NumPy 2.2.4.&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;Other improvements:&lt;/P&gt;
&lt;UL&gt;
&lt;LI&gt;The mkl_umath package&amp;nbsp;is now aligned with numpy-2.x.x.&lt;/LI&gt;
&lt;LI&gt;The&amp;nbsp;mkl_service package now&amp;nbsp;supports Python 3.13.&lt;/LI&gt;
&lt;/UL&gt;</description>
      <pubDate>Tue, 01 Jul 2025 15:42:53 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Distribution-for-Python/What-s-New-Intel-Distribution-for-Python-2025-2/m-p/1700892#M2280</guid>
      <dc:creator>StefR_Intel</dc:creator>
      <dc:date>2025-07-01T15:42:53Z</dc:date>
    </item>
    <item>
      <title>Re: What's New: Intel® Distribution for Python* 2025.2</title>
      <link>https://community.intel.com/t5/Intel-Distribution-for-Python/What-s-New-Intel-Distribution-for-Python-2025-2/m-p/1701164#M2283</link>
      <description>&lt;P&gt;Really glad to see support for NumPy 2.x with IDP 2025.2 release! Quick notes from my installation attempts:&lt;/P&gt;&lt;P&gt;The download page for IDP provides installation commands for Python 3.11 and 3.12 however with the `pip` installation method, downloads succeed only for Python 3.13 (which is welcome, btw).&amp;nbsp; Here are the errors with Python 3.12.10 which indicate that the specified NumPy wheels are available:&lt;/P&gt;&lt;PRE&gt;❯ python -V&lt;BR /&gt;Python 3.12.10&lt;BR /&gt;❯ python -m pip install -i https://software.repos.intel.com/python/pypi numpy scipy dpnp dpctl tbb4py&lt;BR /&gt;Looking in indexes: https://software.repos.intel.com/python/pypi&lt;BR /&gt;Collecting numpy&lt;BR /&gt;ERROR: HTTP error 404 while getting https://software.repos.intel.com/python/pypi/numpy/numpy-2.2.5-5-cp312-cp312-win_amd64.whl#sha256=513e0cbc15832363985ceecc0f453bfe17de9d99028047b7d87d107d1d218ac4 (from https://software.repos.intel.com/python/pypi/numpy/)&lt;BR /&gt;ERROR: Could not install requirement numpy from https://software.repos.intel.com/python/pypi/numpy/numpy-2.2.5-5-cp312-cp312-win_amd64.whl#sha256=513e0cbc15832363985ceecc0f453bfe17de9d99028047b7d87d107d1d218ac4 because of HTTP error 404 Client Error: Not Found for url: https://software.repos.intel.com/python/pypi/numpy/numpy-2.2.5-5-cp312-cp312-win_amd64.whl for URL https://software.repos.intel.com/python/pypi/numpy/numpy-2.2.5-5-cp312-cp312-win_amd64.whl#sha256=513e0cbc15832363985ceecc0f453bfe17de9d99028047b7d87d107d1d218ac4 (from https://software.repos.intel.com/python/pypi/numpy/)&lt;/PRE&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;As an aside I wonder if the Python 3.12 and 3.11 choice on the download page is still relevant? Maybe for the conda/mamba installs?&lt;/P&gt;&lt;P&gt;And finally, a request: it would be great if my choice of Platform (Windows) wouldn't revert back to Linux each time I choose any of the other configuration options.&lt;/P&gt;&lt;P&gt;Thanks.&lt;/P&gt;</description>
      <pubDate>Wed, 02 Jul 2025 21:50:08 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Distribution-for-Python/What-s-New-Intel-Distribution-for-Python-2025-2/m-p/1701164#M2283</guid>
      <dc:creator>codefarmer</dc:creator>
      <dc:date>2025-07-02T21:50:08Z</dc:date>
    </item>
    <item>
      <title>Re: What's New: Intel® Distribution for Python* 2025.2</title>
      <link>https://community.intel.com/t5/Intel-Distribution-for-Python/What-s-New-Intel-Distribution-for-Python-2025-2/m-p/1701607#M2284</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.intel.com/t5/user/viewprofilepage/user-id/341771"&gt;@codefarmer&lt;/a&gt;&amp;nbsp;,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Thank you for bringing this to our attention. We are looking into it and will follow up accordingly.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Regards,&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Stef&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Fri, 04 Jul 2025 09:52:53 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Distribution-for-Python/What-s-New-Intel-Distribution-for-Python-2025-2/m-p/1701607#M2284</guid>
      <dc:creator>StefR_Intel</dc:creator>
      <dc:date>2025-07-04T09:52:53Z</dc:date>
    </item>
    <item>
      <title>Re: What's New: Intel® Distribution for Python* 2025.2</title>
      <link>https://community.intel.com/t5/Intel-Distribution-for-Python/What-s-New-Intel-Distribution-for-Python-2025-2/m-p/1701952#M2285</link>
      <description>&lt;P&gt;Hi&amp;nbsp;&lt;a href="https://community.intel.com/t5/user/viewprofilepage/user-id/341771"&gt;@codefarmer&lt;/a&gt;&amp;nbsp;,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;The pip installation should be fixed now. Sorry for the inconvenience.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Regards,&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;Stef&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Mon, 07 Jul 2025 12:20:59 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Distribution-for-Python/What-s-New-Intel-Distribution-for-Python-2025-2/m-p/1701952#M2285</guid>
      <dc:creator>StefR_Intel</dc:creator>
      <dc:date>2025-07-07T12:20:59Z</dc:date>
    </item>
    <item>
      <title>Re: What's New: Intel® Distribution for Python* 2025.2</title>
      <link>https://community.intel.com/t5/Intel-Distribution-for-Python/What-s-New-Intel-Distribution-for-Python-2025-2/m-p/1716488#M2304</link>
      <description>&lt;P&gt;Thanks for the update! &lt;LI-EMOJI id="lia_rocket" title=":rocket:"&gt;&lt;/LI-EMOJI&gt; Great to see Intel Python 2025.2 adding NumPy 2.x and SciPy 1.15 alignment, new API spec support, and extended functions. Noted on the installer deprecation too.&lt;/P&gt;</description>
      <pubDate>Thu, 11 Sep 2025 15:58:13 GMT</pubDate>
      <guid>https://community.intel.com/t5/Intel-Distribution-for-Python/What-s-New-Intel-Distribution-for-Python-2025-2/m-p/1716488#M2304</guid>
      <dc:creator>pkeeza24</dc:creator>
      <dc:date>2025-09-11T15:58:13Z</dc:date>
    </item>
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