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‎index.xml‎

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<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>NumPy</title><link>https://numpy.org/</link><description>Recent content on NumPy</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 20 Dec 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://numpy.org/index.xml" rel="self" type="application/rss+xml"/><item><title>News</title><link>https://numpy.org/news/</link><pubDate>Sat, 20 Dec 2025 00:00:00 +0000</pubDate><guid>https://numpy.org/news/</guid><description>&lt;h3 id="numpy-240-released">NumPy 2.4.0 released&lt;a class="headerlink" href="#numpy-240-released" title="Link to this heading">#&lt;/a>&lt;/h3>
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<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>NumPy</title><link>https://numpy.org/</link><description>Recent content on NumPy</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 20 Dec 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://numpy.org/index.xml" rel="self" type="application/rss+xml"/><item><title>News</title><link>https://numpy.org/news/</link><pubDate>Sat, 20 Dec 2025 00:00:00 +0000</pubDate><guid>https://numpy.org/news/</guid><description>&lt;h3 id="numpy-fellowship-program-2025-retrospective">NumPy Fellowship Program 2025 Retrospective&lt;a class="headerlink" href="#numpy-fellowship-program-2025-retrospective" title="Link to this heading">#&lt;/a>&lt;/h3>
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&lt;p>&lt;em>8 Jan, 2026&lt;/em> &amp;ndash; Joren Hammudoglu (&lt;a href="https://github.com/jorenham">@jorenham&lt;/a>) has published a
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retrospective on his year as a NumPy Fellow. Read the full post on the Scientific Python blog:&lt;/p>
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&lt;p>&lt;a href="https://blog.scientific-python.org/numpy/fellowship-program-2025-retrospective/">A Year of Typing: My NumPy Fellowship Retrospective&lt;/a>.&lt;/p>
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&lt;h3 id="numpy-240-released">NumPy 2.4.0 released&lt;a class="headerlink" href="#numpy-240-released" title="Link to this heading">#&lt;/a>&lt;/h3>
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&lt;p>&lt;em>20 Dec, 2025&lt;/em> &amp;ndash; The NumPy 2.4.0 release continues the work to improve free
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threaded Python support, user dtypes implementation, and annotations. There are
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many expired deprecations and bug fixes as well. Highlights are:&lt;/p>
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&lt;ul>
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&lt;li>Many annotation improvements. In particular, runtime signature introspection.&lt;/li>
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&lt;li>New &lt;code>casting&lt;/code> kwarg &lt;code>'same_value'&lt;/code> for casting by value.&lt;/li>
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&lt;li>New &lt;code>PyUFunc_AddLoopsFromSpec&lt;/code> function that can be used to add user sort
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loops using the &lt;code>ArrayMethod&lt;/code> API.&lt;/li>
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&lt;li>New &lt;code>__numpy_dtype__&lt;/code> protocol.&lt;/li>
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&lt;/ul>
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&lt;p>This release supports Python versions 3.11-3.14&lt;/p></description></item><item><title>2020 NUMPY COMMUNITY SURVEY</title><link>https://numpy.org/user-survey-2020/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://numpy.org/user-survey-2020/</guid><description>&lt;p>In 2020, the NumPy survey team in partnership with students and faculty from a
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many expired deprecations and bug fixes as well. Highlights are:&lt;/p></description></item><item><title>2020 NUMPY COMMUNITY SURVEY</title><link>https://numpy.org/user-survey-2020/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://numpy.org/user-survey-2020/</guid><description>&lt;p>In 2020, the NumPy survey team in partnership with students and faculty from a
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Master’s course in Survey Methodology jointly hosted by the University of
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Michigan and the University of Maryland conducted the first official NumPy
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community survey. Over 1,200 users from 75 countries participated to help us

‎news/index.html‎

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<!doctype html><html lang=en data-colorscheme=light><head><meta name=description content="Why NumPy? Powerful n-dimensional arrays. Numerical computing tools. Interoperable. Performant. Open source."><meta charset=utf-8><meta name=viewport content="width=device-width,initial-scale=1,shrink-to-fit=no"><meta http-equiv=x-ua-compatible content="ie=edge"><title>NumPy - News</title>
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There are many expired deprecations and bug fixes as well. Highlights are:
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Many annotation improvements. In particular, runtime signature introspection. New casting kwarg 'same_value' for casting by value. New PyUFunc_AddLoopsFromSpec function that can be used to add user sort loops using the ArrayMethod API. New __numpy_dtype__ protocol. This release supports Python versions 3.11-3.14"></head><body><nav id=nav class=navbar role=navigation aria-label="main navigation"><div class=container><div class=navbar-brand><a class=navbar-item href=/><img class=navbar-logo src=/images/logo.svg alt="%!s(<nil>) logo"><div class=navbar-logo-text>NumPy</div></a><a role=button class=navbar-burger aria-label=menu aria-expanded=false data-target=navbar-menu><span aria-hidden=true></span>
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Read the full post on the Scientific Python blog:
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A Year of Typing: My NumPy Fellowship Retrospective.
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NumPy 2.4.0 released# 20 Dec, 2025 – The NumPy 2.4.0 release continues the work to improve free threaded Python support, user dtypes implementation, and annotations. There are many expired deprecations and bug fixes as well. Highlights are:"></head><body><nav id=nav class=navbar role=navigation aria-label="main navigation"><div class=container><div class=navbar-brand><a class=navbar-item href=/><img class=navbar-logo src=/images/logo.svg alt="%!s(<nil>) logo"><div class=navbar-logo-text>NumPy</div></a><a role=button class=navbar-burger aria-label=menu aria-expanded=false data-target=navbar-menu><span aria-hidden=true></span>
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</a><a href=/contribute class=navbar-item>Contribute</a><div class="navbar-item has-dropdown"><a aria-label="Select language" class=navbar-link>English</a><div class=navbar-dropdown><a href=/pt/news/ class=navbar-item>Português
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</a><a href=/es/news/ class=navbar-item>Español</a></div></div></div></div></div></nav><section class=content-padding><div class=content-container><nav aria-label=Breadcrumb><ul id=breadcrumbs class=bd-breadcrumbs><li class="breadcrumb-item breadcrumb-home"><a href=/ class=nav-link aria-label=Home><i class="fas fa-home"></i></a></li><li class="breadcrumb-item active" aria-current=page>News</li></ul></nav><h1>News</h1><div><h3 id=numpy-240-released>NumPy 2.4.0 released<a class=headerlink href=#numpy-240-released title="Link to this heading">#</a></h3><p><em>20 Dec, 2025</em> &ndash; The NumPy 2.4.0 release continues the work to improve free
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</a><a href=/es/news/ class=navbar-item>Español</a></div></div></div></div></div></nav><section class=content-padding><div class=content-container><nav aria-label=Breadcrumb><ul id=breadcrumbs class=bd-breadcrumbs><li class="breadcrumb-item breadcrumb-home"><a href=/ class=nav-link aria-label=Home><i class="fas fa-home"></i></a></li><li class="breadcrumb-item active" aria-current=page>News</li></ul></nav><h1>News</h1><div><h3 id=numpy-fellowship-program-2025-retrospective>NumPy Fellowship Program 2025 Retrospective<a class=headerlink href=#numpy-fellowship-program-2025-retrospective title="Link to this heading">#</a></h3><p><em>8 Jan, 2026</em> &ndash; Joren Hammudoglu (<a href=https://github.com/jorenham>@jorenham</a>) has published a
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retrospective on his year as a NumPy Fellow. Read the full post on the Scientific Python blog:</p><p><a href=https://blog.scientific-python.org/numpy/fellowship-program-2025-retrospective/>A Year of Typing: My NumPy Fellowship Retrospective</a>.</p><h3 id=numpy-240-released>NumPy 2.4.0 released<a class=headerlink href=#numpy-240-released title="Link to this heading">#</a></h3><p><em>20 Dec, 2025</em> &ndash; The NumPy 2.4.0 release continues the work to improve free
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threaded Python support, user dtypes implementation, and annotations. There are
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many expired deprecations and bug fixes as well. Highlights are:</p><ul><li>Many annotation improvements. In particular, runtime signature introspection.</li><li>New <code>casting</code> kwarg <code>'same_value'</code> for casting by value.</li><li>New <code>PyUFunc_AddLoopsFromSpec</code> function that can be used to add user sort
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loops using the <code>ArrayMethod</code> API.</li><li>New <code>__numpy_dtype__</code> protocol.</li></ul><p>This release supports Python versions 3.11-3.14</p><h3 id=numpy-230-released>NumPy 2.3.0 released<a class=headerlink href=#numpy-230-released title="Link to this heading">#</a></h3><p><em>7 Jun, 2025</em> &ndash; The NumPy 2.3.0 release improves free threaded Python support

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