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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, 07 Jun 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, 07 Jun 2025 00:00:00 +0000</pubDate><guid>https://numpy.org/news/</guid><description><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
and annotations together with the usual set of bug fixes. It is unusual in the
number of expired deprecations, code modernizations, and style cleanups. The
latter may not be visible to users, but is important for code maintenance over
the long term. Note that we have also upgraded from manylinux2014 to
manylinux_2_28. Highlights are:</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><p>In 2020, the NumPy survey team in partnership with students and faculty from a
Master’s course in Survey Methodology jointly hosted by the University of
Michigan and the University of Maryland conducted the first official NumPy
community survey. Over 1,200 users from 75 countries participated to help us
map out a landscape of the NumPy community and voiced their thoughts about the
future of the project.</p>
<figure class="align-default" id="id000"><img src="https://numpy.org/surveys/NumPy_usersurvey_2020_report_cover.png" alt="Cover page of the 2020 NumPy user survey report, titled &#34;NumPy Community Survey 2020 - results&#34;" class="align-center" width="250">
<figcaption>
<p><span class="caption-text"></span>
</figcaption>
</figure>
<p><strong><a href="https://numpy.org/surveys/NumPy_usersurvey_2020_report.pdf">Download the report</a></strong>
to take a closer look at the survey findings.</p></description></item><item><title>404</title><link>https://numpy.org/404/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://numpy.org/404/</guid><description><p>Oops! You&rsquo;ve reached a dead end.</p>
<p>If you think something should be here, you can <a href="https://github.com/numpy/numpy.org/issues">open an issue</a> on GitHub.</p></description></item><item><title>About Us</title><link>https://numpy.org/about/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://numpy.org/about/</guid><description><p>NumPy is an open source project that enables numerical computing with Python. It was created in 2005 building on the early work of the Numeric and Numarray libraries. NumPy will always be 100% open source software and free for all to use. It is released under the liberal terms of the <a href="https://github.com/numpy/numpy/blob/main/LICENSE.txt">modified BSD license</a>.</p>
<p>NumPy is developed in the open on GitHub, through the consensus of the NumPy and wider scientific Python community. For more information on our governance approach, please see our <a href="https://www.numpy.org/devdocs/dev/governance/index.html">Governance Document</a>.</p></description></item><item><title>Array Computing</title><link>https://numpy.org/arraycomputing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://numpy.org/arraycomputing/</guid><description><p><em>Array computing is the foundation of statistical, mathematical, scientific computing
in various contemporary data science and analytics applications such as data
visualization, digital signal processing, image processing, bioinformatics,
machine learning, AI, and several others.</em></p>
<p>Large scale data manipulation and transformation depends on efficient,
high-performance array computing. The language of choice for data analytics,
machine learning, and productive numerical computing is <strong>Python.</strong></p>
<p><strong>Num</strong>erical <strong>Py</strong>thon or NumPy is its de-facto standard Python programming
language library that supports large, multi-dimensional arrays and matrices,
and comes with a vast collection of high-level mathematical functions to
operate on these arrays.</p></description></item><item><title>Case Study: Cricket Analytics, the game changer!</title><link>https://numpy.org/case-studies/cricket-analytics/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://numpy.org/case-studies/cricket-analytics/</guid><description><figure class="align-default" id="id000"><img src="https://numpy.org/images/content_images/cs/ipl-stadium.png" alt="Indian Premier League Cricket cup and stadium" class="align-center">
<figcaption><strong class="caption-title">IPLT20, the biggest Cricket Festival in India</strong><a class="headerlink" href="#id000" title="Link to this image">#</a><br><a href="https://unsplash.com/@aksh1802">(Image credits: IPLT20 (cup and logo) &amp; Akash Yadav (stadium))</a>
<p><span class="caption-text"></span>
</figcaption>
</figure>
<blockquote cite="https://www.scoopwhoop.com/sports/ms-dhoni/">
<p>
You don't play for the crowd, you play for the country.
</p>
<p class="attribution">—M S Dhoni, <em>International Cricket Player, ex-captain, Indian Team, plays for Chennai Super Kings in IPL</em></p>
</blockquote>
<h2 id="about-cricket">About Cricket<a class="headerlink" href="#about-cricket" title="Link to this heading">#</a></h2>
<p>It would be an understatement to state that Indians love cricket. The game is
played in just about every nook and cranny of India, rural or urban, popular
with the young and the old alike, connecting billions in India unlike any other sport.
Cricket enjoys lots of media attention. There is a significant amount of
<a href="https://www.statista.com/topics/4543/indian-premier-league-ipl/">money</a> and
fame at stake. Over the last several years, technology has literally been a game
changer. Audiences are spoilt for choice with streaming media, tournaments,
affordable access to mobile based live cricket watching, and more.</p></description></item><item><title>Case Study: DeepLabCut 3D Pose Estimation</title><link>https://numpy.org/case-studies/deeplabcut-dnn/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://numpy.org/case-studies/deeplabcut-dnn/</guid><description><figure class="align-default" id="id000"><img src="https://numpy.org/images/content_images/cs/mice-hand.gif" alt="micehandanim" class="align-center">
<figcaption><strong class="caption-title">Analyzing mice hand-movement using DeepLapCut</strong><a class="headerlink" href="#id000" title="Link to this image">#</a><br><a href="http://www.mousemotorlab.org/deeplabcut">(Source: www.deeplabcut.org )</a>
<p><span class="caption-text"></span>
</figcaption>
</figure>
<blockquote cite="https://news.harvard.edu/gazette/story/newsplus/harvard-researchers-awarded-czi-open-source-award/">
<p>
Open Source Software is accelerating Biomedicine. DeepLabCut enables automated video analysis of animal behavior using Deep Learning.
</p>
<p class="attribution">—Alexander Mathis, <em>Assistant Professor, École polytechnique fédérale de Lausanne</em> (<a href="https://www.epfl.ch/en/">EPFL</a>)</p>
</blockquote>
<h2 id="about-deeplabcut">About DeepLabCut<a class="headerlink" href="#about-deeplabcut" title="Link to this heading">#</a></h2>
<p><a href="https://github.com/DeepLabCut/DeepLabCut">DeepLabCut</a> is an open source toolbox that empowers researchers at hundreds of institutions worldwide to track behaviour of laboratory animals, with very little training data, at human-level accuracy. With DeepLabCut technology, scientists can delve deeper into the scientific understanding of motor control and behavior across animal species and timescales.</p></description></item><item><title>Case Study: Discovery of Gravitational Waves</title><link>https://numpy.org/case-studies/gw-discov/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://numpy.org/case-studies/gw-discov/</guid><description><figure class="align-default" id="id000"><img src="https://numpy.org/images/content_images/cs/gw_sxs_image.png" alt="binary coalesce black hole generating gravitational waves" class="align-center">
<figcaption><strong class="caption-title">Gravitational Waves</strong><a class="headerlink" href="#id000" title="Link to this image">#</a><br><a href="https://youtu.be/Zt8Z_uzG71o">(Image Credits: The Simulating eXtreme Spacetimes (SXS) Project at LIGO)</a>
<p><span class="caption-text"></span>
</figcaption>
</figure>
<blockquote cite="https://www.youtube.com/watch?v=BIvezCVcsYs">
<p>
The scientific Python ecosystem is critical infrastructure for the research done at LIGO.
</p>
<p class="attribution">—David Shoemaker, <em>LIGO Scientific Collaboration</em></p>
</blockquote>
<h2 id="about-gravitational-waveshttpswwwnationalgeographiccomnews201710what-are-gravitational-waves-ligo-astronomy-science-and-ligohttpswwwligocaltechedu">About <a href="https://www.nationalgeographic.com/news/2017/10/what-are-gravitational-waves-ligo-astronomy-science/">Gravitational Waves</a> and <a href="https://www.ligo.caltech.edu">LIGO</a><a class="headerlink" href="#about-gravitational-waveshttpswwwnationalgeographiccomnews201710what-are-gravitational-waves-ligo-astronomy-science-and-ligohttpswwwligocaltechedu" title="Link to this heading">#</a></h2>
<p>Gravitational waves are ripples in the fabric of space and time, generated by
cataclysmic events in the universe such as collision and merging of two black
holes or coalescing binary stars or supernovae. Observing GW can not only help
in studying gravity but also in understanding some of the obscure phenomena in
the distant universe and its impact.</p></description></item><item><title>Case Study: First Image of a Black Hole</title><link>https://numpy.org/case-studies/blackhole-image/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://numpy.org/case-studies/blackhole-image/</guid><description><figure class="align-default" id="id000"><img src="https://numpy.org/images/content_images/cs/blackhole.jpg" alt="black hole image" class="align-center">
<figcaption><strong class="caption-title">Black Hole M87</strong><a class="headerlink" href="#id000" title="Link to this image">#</a><br><a href="https://www.jpl.nasa.gov/images/universe/20190410/blackhole20190410.jpg">(Image Credits: Event Horizon Telescope Collaboration)</a>
<p><span class="caption-text"></span>
</figcaption>
</figure>
<blockquote cite="https://www.youtube.com/watch?v=BIvezCVcsYs">
<p>
Imaging the M87 Black Hole is like trying to see something that is by definition impossible to see.
</p>
<p class="attribution">—Katie Bouman, <em>Assistant Professor, Computing &amp; Mathematical Sciences, Caltech</em></p>
</blockquote>
<h2 id="a-telescope-the-size-of-the-earth">A telescope the size of the earth<a class="headerlink" href="#a-telescope-the-size-of-the-earth" title="Link to this heading">#</a></h2>
<p>The <a href="https://eventhorizontelescope.org">Event Horizon telescope (EHT)</a> is an
array of eight ground-based radio telescopes forming a computational telescope
the size of the earth, studying the universe with unprecedented
sensitivity and resolution. The huge virtual telescope, which uses a technique
called very-long-baseline interferometry (VLBI), has an angular resolution of
<a href="https://eventhorizontelescope.org/press-release-april-10-2019-astronomers-capture-first-image-black-hole">20 micro-arcseconds</a> — enough to read a newspaper in New York
from a sidewalk café in Paris!</p></description></item><item><title>Citing NumPy</title><link>https://numpy.org/citing-numpy/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://numpy.org/citing-numpy/</guid><description><p>If NumPy has been significant in your research, and you would like to acknowledge the project in your academic publication, we suggest citing the following paper:</p>
<ul>
<li>Harris, C.R., Millman, K.J., van der Walt, S.J. et al. <em>Array programming with NumPy</em>. Nature 585, 357–362 (2020). DOI: <a href="https://doi.org/10.1038/s41586-020-2649-2">10.1038/s41586-020-2649-2</a>. (<a href="https://www.nature.com/articles/s41586-020-2649-2">Publisher link</a>).</li>
</ul>
<p><em>In BibTeX format:</em></p>
<div class="highlight">
<pre>@Article{ harris2020array,
title = {Array programming with {NumPy}},
author = {Charles R. Harris and K. Jarrod Millman and St{\&#39;{e}}fan J.
van der Walt and Ralf Gommers and Pauli Virtanen and David
Cournapeau and Eric Wieser and Julian Taylor and Sebastian
Berg and Nathaniel J. Smith and Robert Kern and Matti Picus
and Stephan Hoyer and Marten H. van Kerkwijk and Matthew
Brett and Allan Haldane and Jaime Fern{\&#39;{a}}ndez del
R{\&#39;{i}}o and Mark Wiebe and Pearu Peterson and Pierre
G{\&#39;{e}}rard-Marchant and Kevin Sheppard and Tyler Reddy and
Warren Weckesser and Hameer Abbasi and Christoph Gohlke and
Travis E. Oliphant},
year = {2020},
month = sep,
journal = {Nature},
volume = {585},
number = {7825},
pages = {357--362},
doi = {10.1038/s41586-020-2649-2},
publisher = {Springer Science and Business Media {LLC}},
url = {https://doi.org/10.1038/s41586-020-2649-2}
}</pre>
</div></description></item><item><title>Community</title><link>https://numpy.org/community/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://numpy.org/community/</guid><description><p>NumPy is a community-driven open source project developed by a diverse group of <a href="https://numpy.org/teams/">contributors</a>. The NumPy leadership has made a strong commitment to creating an open, inclusive, and positive community. Please read the <a href="https://numpy.org/code-of-conduct/">NumPy Code of Conduct</a> for guidance on how to interact with others in a way that makes the community thrive.</p>
<p>We offer several communication channels to learn, share your knowledge and connect with others within the NumPy community.</p>
<h2 id="participate-online">Participate online<a class="headerlink" href="#participate-online" title="Link to this heading">#</a></h2>
<p>The following are ways to engage directly with the NumPy project and community.
<em>Please note that we encourage users and community members to support each other
for usage questions - see <a href="https://numpy.org/gethelp/">Get Help</a>.</em></p></description></item><item><title>Contribute to NumPy</title><link>https://numpy.org/contribute/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://numpy.org/contribute/</guid><description><p>The NumPy project welcomes your expertise and enthusiasm!
Your choices aren&rsquo;t limited to programming, as you can
see below there are many areas where we need <strong>your</strong> help.</p>
<p>If you&rsquo;re unsure where to start or how your skills fit in, <em>reach out!</em> You
can ask on the <a href="https://mail.python.org/mailman/listinfo/numpy-discussion">mailing
list</a> or
<a href="http://github.com/numpy/numpy">GitHub</a> (open an
<a href="https://github.com/numpy/numpy/issues">issue</a> or comment on a relevant
issue).</p>
<p>Those are our preferred channels (open source is open by nature), but
if you prefer to talk privately, contact our community coordinators at
<a href="mailto:numpy-team@googlegroups.com">numpy-team@googlegroups.com</a> or on <a href="https://numpy-team.slack.com">Slack</a>
(write <a href="mailto:numpy-team@googlegroups.com">numpy-team@googlegroups.com</a> for an invite).</p></description></item><item><title>Get Help</title><link>https://numpy.org/gethelp/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://numpy.org/gethelp/</guid><description><p><strong>Development issues:</strong> For NumPy development-related matters (e.g., bug reports), please
see <a href="https://numpy.org/community/">Community</a>.</p>
<p><strong>User questions:</strong> The best way to get help is to post your question to a site
like <a href="http://stackoverflow.com/questions/tagged/numpy">StackOverflow</a> or
<a href="https://www.reddit.com/r/Numpy/">Reddit</a>. We wish we could keep an eye on
these sites, or answer questions directly, but the volume is a little
overwhelming!</p>
<h3 id="stackoverflowhttpstackoverflowcomquestionstaggednumpy"><a href="http://stackoverflow.com/questions/tagged/numpy">StackOverflow</a><a class="headerlink" href="#stackoverflowhttpstackoverflowcomquestionstaggednumpy" title="Link to this heading">#</a></h3>
<p>A forum for asking usage questions, e.g. &ldquo;How do I do X in NumPy?”. Please <a href="https://stackoverflow.com/help/tagging">use the <code>#numpy</code> tag</a></p></description></item><item><title>History of NumPy</title><link>https://numpy.org/history/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://numpy.org/history/</guid><description><p>NumPy is a foundational Python library that provides array data structures and related fast numerical routines. When started, the library had little funding, and was written mainly by graduate students—many of them without computer science education, and often without a blessing of their advisors. To even imagine that a small group of “rogue” student programmers could upend the already well-established ecosystem of research software—backed by millions in funding and many hundreds of highly qualified engineers — was preposterous. Yet, the philosophical motivations behind a fully open tool stack, in combination with the excited, friendly community with a singular focus, have proven auspicious in the long run. Nowadays, NumPy is relied upon by scientists, engineers, and many other professionals around the world. For example, the published scripts used in the analysis of gravitational waves import NumPy, and the M87 black hole imaging project directly cites NumPy.</p></description></item><item><title>Installing NumPy</title><link>https://numpy.org/install/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://numpy.org/install/</guid><description><div class="admonition tip">
<div class="admonition-title"> Tip</div>
<p>
This page assumes you are comfortable using a terminal and are familiar with package managers.
The only prerequisite for installing NumPy is Python itself. If you don&rsquo;t have
Python yet and want the simplest way to get started, we recommend you use the
<a href="https://www.anaconda.com/download">Anaconda Distribution</a> - it includes
Python, NumPy, and many other commonly used packages for scientific computing
and data science.
</p>
</div>
<p>The recommended method of installing NumPy depends on your preferred workflow. Below, we break down the installation methods into the following categories:</p></description></item><item><title>Learn</title><link>https://numpy.org/learn/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://numpy.org/learn/</guid><description><p>For the <strong>official NumPy documentation</strong> visit <a href="https://numpy.org/doc/stable">numpy.org/doc/stable</a>.</p>
<hr>
<p>Below is a curated collection of educational resources, both for self-learning and
teaching others, developed by NumPy contributors and vetted by the community.</p>
<h2 id="beginners">Beginners<a class="headerlink" href="#beginners" title="Link to this heading">#</a></h2>
<p>There&rsquo;s a ton of information about NumPy out there. If you are just starting, we&rsquo;d
strongly recommend the following:</p>
<p><i class="fas fa-chalkboard"></i> <strong>Tutorials</strong></p>
<ul>
<li><a href="https://numpy.org/devdocs/user/quickstart.html">NumPy Quickstart Tutorial</a></li>
<li><a href="https://numpy.org/numpy-tutorials">NumPy Tutorials</a> A collection of tutorials and
educational materials in the format of Jupyter Notebooks developed and maintained by
the NumPy Documentation team. To submit your own content, visit the
<a href="https://github.com/numpy/numpy-tutorials">numpy-tutorials repository on GitHub</a>.</li>
<li><a href="https://betterprogramming.pub/3b1d4976de1d?sk=57b908a77aa44075a49293fa1631dd9b">NumPy Illustrated: The Visual Guide to NumPy</a>
<em>by Lev Maximov</em></li>
<li><a href="https://lectures.scientific-python.org/">Scientific Python Lectures</a> Besides covering
NumPy, these lectures offer a broader introduction to the scientific Python ecosystem.</li>
<li><a href="https://numpy.org/devdocs/user/absolute_beginners.html">NumPy: the absolute basics for beginners</a></li>
<li><a href="https://github.com/rougier/numpy-tutorial">NumPy tutorial</a> <em>by Nicolas Rougier</em></li>
<li><a href="http://cs231n.github.io/python-numpy-tutorial/">Stanford CS231</a> <em>by Justin Johnson</em></li>
<li><a href="https://numpy.org/devdocs">NumPy User Guide</a></li>
</ul>
<p><i class="fas fa-book"></i> <strong>Books</strong></p></description></item><item><title>NumPy Code of Conduct</title><link>https://numpy.org/code-of-conduct/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://numpy.org/code-of-conduct/</guid><description><h3 id="introduction">Introduction<a class="headerlink" href="#introduction" title="Link to this heading">#</a></h3>
<p>This Code of Conduct applies to all spaces managed by the NumPy project, including all public and private mailing lists, issue trackers, wikis, blogs, X, and any other communication channel used by our community. The NumPy project does not organise in-person events, however events related to our community should have a code of conduct similar in spirit to this one.</p>
<p>This Code of Conduct should be honored by everyone who participates in the NumPy community formally or informally, or claims any affiliation with the project, in any project-related activities and especially when representing the project, in any role.</p></description></item><item><title>NumPy Code of Conduct - How to follow up on a report</title><link>https://numpy.org/report-handling-manual/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://numpy.org/report-handling-manual/</guid><description><p>This is the manual followed by NumPy’s Code of Conduct Committee. It’s used when we respond to an issue to make sure we’re consistent and fair.</p>
<p>Enforcing the <a href="https://numpy.org/code-of-conduct/">Code of Conduct</a> impacts our community today and for the future. It’s an action that we do not take lightly. When reviewing enforcement measures, the Code of Conduct Committee will keep the following values and guidelines in mind:</p>
<ul>
<li>Act in a personal manner rather than impersonal. The Committee can engage the parties to understand the situation while respecting the privacy and any necessary confidentiality of reporters. However, sometimes it is necessary to communicate with one or more individuals directly: the Committee’s goal is to improve the health of our community rather than only produce a formal decision.</li>
<li>Emphasize empathy for individuals rather than judging behavior, avoiding binary labels of “good” and “bad/evil”. Overt, clear-cut aggression and harassment exist, and we will address them firmly. But many scenarios that can prove challenging to resolve are those where normal disagreements devolve into unhelpful or harmful behavior from multiple parties. Understanding the full context and finding a path that re-engages all is hard, but ultimately the most productive for our community.</li>
<li>We understand that email is a difficult medium and can be isolating. Receiving criticism over email, without personal contact, can be particularly painful. This makes it especially important to keep an atmosphere of open-minded respect for the views of others. It also means that we must be transparent in our actions, and that we will do everything in our power to make sure that all our members are treated fairly and with sympathy.</li>
<li>Discrimination can be subtle and it can be unconscious. It can show itself as unfairness and hostility in otherwise ordinary interactions. We know that this does occur, and we will take care to look out for it. We would very much like to hear from you if you feel you have been treated unfairly, and we will use these procedures to make sure that your complaint is heard and addressed.</li>
<li>Help increase engagement in good discussion practice: try to identify where discussion may have broken down, and provide actionable information, pointers, and resources that can lead to positive change on these points.</li>
<li>Be mindful of the needs of new members: provide them with explicit support and consideration, with the aim of increasing participation from underrepresented groups in particular.</li>
<li>Individuals come from different cultural backgrounds and native languages. Try to identify any honest misunderstandings caused by a non-native speaker and help them understand the issue and what they can change to avoid causing offence. Complex discussion in a foreign language can be very intimidating, and we want to grow our diversity also across nationalities and cultures.</li>
</ul>
<h2 id="mediation">Mediation<a class="headerlink" href="#mediation" title="Link to this heading">#</a></h2>
<p>Voluntary informal mediation is a tool at our disposal. In contexts such as when two or more parties have all escalated to the point of inappropriate behavior (something sadly common in human conflict), it may be useful to facilitate a mediation process. This is only an example: the Committee can consider mediation in any case, mindful that the process is meant to be strictly voluntary and no party can be pressured to participate. If the Committee suggests mediation, it should:</p></description></item><item><title>NumPy Diversity and Inclusion Statement</title><link>https://numpy.org/diversity_sep2020/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://numpy.org/diversity_sep2020/</guid><description><p><em>In light of the foregoing discussion on social media after publication of the
NumPy paper in Nature and the concerns raised about the state of diversity and
inclusion on the NumPy team, we would like to issue the following statement:</em></p>
<p>It is our strong belief that we are at our best, as a team and community, when
we are inclusive and equitable. Being an international team from the onset, we
recognize the value of collaborating with individuals from diverse backgrounds
and expertise. A culture where everyone is welcomed, supported, and valued is
at the core of the NumPy project.</p></description></item><item><title>NumPy Teams</title><link>https://numpy.org/teams/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://numpy.org/teams/</guid><description><p>We are an international team on a mission to support scientific and research
communities worldwide by building quality, open-source software.
<a href="https://numpy.org/contribute/">Join us</a>!</p>
<h3 id="maintainers">Maintainers<a class="headerlink" href="#maintainers" title="Link to this heading">#</a></h3>
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<h3 id="docs-team">Docs team<a class="headerlink" href="#docs-team" title="Link to this heading">#</a></h3>
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<div class="sd-row sd-row-cols-2 sd-row-cols-xs-2 sd-row-cols-sm-3 sd-row-cols-md-4 sd-row-cols-lg-5 sd-g-2 sd-g-xs-2 sd-g-sm-3 sd-g-md-4 sd-g-lg-5">
<div class="sd-col sd-d-flex-row">
<div class="sd-card sd-w-100 sd-shadow-sm sd-card-hover text-center">
<div class="sd-card-body">
<img src="https://avatars.githubusercontent.com/u/4336207?u=564d623a8c9d710c3520841b83458b0bf1eae010&amp;v=4%22" alt="Avatar of Rohit Goswami">
Rohit Goswami
</div>
<a class="sd-stretched-link" href="https://github.com/HaoZeke"></a>
</div>
</div>
<div class="sd-col sd-d-flex-row">
<div class="sd-card sd-w-100 sd-shadow-sm sd-card-hover text-center">
<div class="sd-card-body">
<img src="https://avatars.githubusercontent.com/u/43481325?u=8c0c0adbf3f2efd2cce72951d3554064c7bbfce3&amp;v=4%22" alt="Avatar of Inessa Pawson">
Inessa Pawson
</div>
<a class="sd-stretched-link" href="https://github.com/InessaPawson"></a>
</div>
</div>
<div class="sd-col sd-d-flex-row">
<div class="sd-card sd-w-100 sd-shadow-sm sd-card-hover text-center">
<div class="sd-card-body">
<img src="https://avatars.githubusercontent.com/u/46167686?u=b5ca05a767012822d06b8bc16e3cd5ca0d1cafe9&amp;v=4%22" alt="Avatar of Mars Lee">
Mars Lee
</div>
<a class="sd-stretched-link" href="https://github.com/MarsBarLee"></a>
</div>
</div>
<div class="sd-col sd-d-flex-row">
<div class="sd-card sd-w-100 sd-shadow-sm sd-card-hover text-center">
<div class="sd-card-body">
<img src="https://avatars.githubusercontent.com/u/823911?u=1dd52e6dcca6a7a35b6644935cdd33a6e166a596&amp;v=4%22" alt="Avatar of Matti Picus">
Matti Picus
</div>
<a class="sd-stretched-link" href="https://github.com/mattip"></a>
</div>
</div>
<div class="sd-col sd-d-flex-row">
<div class="sd-card sd-w-100 sd-shadow-sm sd-card-hover text-center">
<div class="sd-card-body">
<img src="https://avatars.githubusercontent.com/u/3949932?u=aacac68df60d2cf64c17c7e5aa17adf8b738aa7b&amp;v=4%22" alt="Avatar of Melissa Weber Mendonça">
Melissa Weber Mendonça
</div>
<a class="sd-stretched-link" href="https://github.com/melissawm"></a>
</div>
</div>
<div class="sd-col sd-d-flex-row">
<div class="sd-card sd-w-100 sd-shadow-sm sd-card-hover text-center">
<div class="sd-card-body">
<img src="https://avatars.githubusercontent.com/u/60316606?u=229ba03253068b0a4f206b0be08f7a9e76c832f1&amp;v=4%22" alt="Avatar of Mukulika">
Mukulika
</div>
<a class="sd-stretched-link" href="https://github.com/Mukulikaa"></a>
</div>
</div>
<div class="sd-col sd-d-flex-row">
<div class="sd-card sd-w-100 sd-shadow-sm sd-card-hover text-center">
<div class="sd-card-body">
<img src="https://avatars.githubusercontent.com/u/1268991?u=974707b96081a9705f3a239c0773320f353ee02f&amp;v=4%22" alt="Avatar of Ross Barnowski">
Ross Barnowski
</div>
<a class="sd-stretched-link" href="https://github.com/rossbar"></a>
</div>
</div>
</div>
</div>
<h3 id="web-team">Web team<a class="headerlink" href="#web-team" title="Link to this heading">#</a></h3>
<div class="sd-container-fluid sd-mb-4 false">
<div class="sd-row sd-row-cols-2 sd-row-cols-xs-2 sd-row-cols-sm-3 sd-row-cols-md-4 sd-row-cols-lg-5 sd-g-2 sd-g-xs-2 sd-g-sm-3 sd-g-md-4 sd-g-lg-5">
<div class="sd-col sd-d-flex-row">
<div class="sd-card sd-w-100 sd-shadow-sm sd-card-hover text-center">
<div class="sd-card-body">
<img src="https://avatars.githubusercontent.com/u/43481325?u=8c0c0adbf3f2efd2cce72951d3554064c7bbfce3&amp;v=4%22" alt="Avatar of Inessa Pawson">
Inessa Pawson
</div>
<a class="sd-stretched-link" href="https://github.com/InessaPawson"></a>
</div>
</div>
<div class="sd-col sd-d-flex-row">
<div class="sd-card sd-w-100 sd-shadow-sm sd-card-hover text-center">
<div class="sd-card-body">
<img src="https://avatars.githubusercontent.com/u/123428?v=4%22" alt="Avatar of Jarrod Millman">
Jarrod Millman
</div>
<a class="sd-stretched-link" href="https://github.com/jarrodmillman"></a>
</div>
</div>
<div class="sd-col sd-d-flex-row">
<div class="sd-card sd-w-100 sd-shadow-sm sd-card-hover text-center">
<div class="sd-card-body">
<img src="https://avatars.githubusercontent.com/u/3891660?u=5de0ba1f1adad6f041f6dde1affef5d05bbed80a&amp;v=4%22" alt="Avatar of Joe LaChance">
Joe LaChance
</div>
<a class="sd-stretched-link" href="https://github.com/joelachance"></a>
</div>
</div>
<div class="sd-col sd-d-flex-row">
<div class="sd-card sd-w-100 sd-shadow-sm sd-card-hover text-center">
<div class="sd-card-body">
<img src="https://avatars.githubusercontent.com/u/46167686?u=b5ca05a767012822d06b8bc16e3cd5ca0d1cafe9&amp;v=4%22" alt="Avatar of Mars Lee">
Mars Lee
</div>
<a class="sd-stretched-link" href="https://github.com/MarsBarLee"></a>
</div>
</div>
<div class="sd-col sd-d-flex-row">
<div class="sd-card sd-w-100 sd-shadow-sm sd-card-hover text-center">
<div class="sd-card-body">
<img src="https://avatars.githubusercontent.com/u/98330?u=22a023f8d191ba200ab13d476c83860d015cc9fe&amp;v=4%22" alt="Avatar of Ralf Gommers">
Ralf Gommers
</div>
<a class="sd-stretched-link" href="https://github.com/rgommers"></a>
</div>
</div>
<div class="sd-col sd-d-flex-row">
<div class="sd-card sd-w-100 sd-shadow-sm sd-card-hover text-center">
<div class="sd-card-body">
<img src="https://avatars.githubusercontent.com/u/5890484?u=feb15a24e010a434ded00e41d8bd030a2cc31bdb&amp;v=4%22" alt="Avatar of shalz">
shalz
</div>
<a class="sd-stretched-link" href="https://github.com/shaloo"></a>
</div>
</div>
<div class="sd-col sd-d-flex-row">
<div class="sd-card sd-w-100 sd-shadow-sm sd-card-hover text-center">
<div class="sd-card-body">
<img src="https://avatars.githubusercontent.com/u/5774448?u=af1d8beea7d3c37d064e0dcb42d96c41e1318934&amp;v=4%22" alt="Avatar of Shekhar Prasad Rajak">
Shekhar Prasad Rajak
</div>
<a class="sd-stretched-link" href="https://github.com/Shekharrajak"></a>
</div>
</div>
<div class="sd-col sd-d-flex-row">
<div class="sd-card sd-w-100 sd-shadow-sm sd-card-hover text-center">
<div class="sd-card-body">
<img src="https://avatars.githubusercontent.com/u/45071?u=c779b5e06448fbc638bc987cdfe305c7f9a7175e&amp;v=4%22" alt="Avatar of Stefan van der Walt">
Stefan van der Walt
</div>
<a class="sd-stretched-link" href="https://github.com/stefanv"></a>
</div>
</div>
<div class="sd-col sd-d-flex-row">
<div class="sd-card sd-w-100 sd-shadow-sm sd-card-hover text-center">
<div class="sd-card-body">
<img src="https://avatars.githubusercontent.com/u/1953382?u=5df9d41ad2a6d526e7daeec06225274905e7e660&amp;v=4%22" alt="Avatar of Albert Steppi">
Albert Steppi
</div>
<a class="sd-stretched-link" href="https://github.com/steppi"></a>
</div>
</div>
</div>
</div>
<h3 id="triage-team">Triage team<a class="headerlink" href="#triage-team" title="Link to this heading">#</a></h3>
<div class="sd-container-fluid sd-mb-4 false">
<div class="sd-row sd-row-cols-2 sd-row-cols-xs-2 sd-row-cols-sm-3 sd-row-cols-md-4 sd-row-cols-lg-5 sd-g-2 sd-g-xs-2 sd-g-sm-3 sd-g-md-4 sd-g-lg-5">
<div class="sd-col sd-d-flex-row">
<div class="sd-card sd-w-100 sd-shadow-sm sd-card-hover text-center">
<div class="sd-card-body">
<img src="https://avatars.githubusercontent.com/u/702934?u=a026c1b1117981cea46e56ba562f3e80dfa71329&amp;v=4%22" alt="Avatar of Andrew Nelson">
Andrew Nelson
</div>
<a class="sd-stretched-link" href="https://github.com/andyfaff"></a>
</div>
</div>
<div class="sd-col sd-d-flex-row">
<div class="sd-card sd-w-100 sd-shadow-sm sd-card-hover text-center">
<div class="sd-card-body">
<img src="https://avatars.githubusercontent.com/u/1522319?v=4%22" alt="Avatar of Anirudh Subramanian">
Anirudh Subramanian
</div>
<a class="sd-stretched-link" href="https://github.com/anirudh2290"></a>
</div>
</div>
<div class="sd-col sd-d-flex-row">
<div class="sd-card sd-w-100 sd-shadow-sm sd-card-hover text-center">
<div class="sd-card-body">
<img src="https://avatars.githubusercontent.com/u/71486?u=cc88e2a4e4c6c496dcb9dd88cead5c0dab496c89&amp;v=4%22" alt="Avatar of Aaron Meurer">
Aaron Meurer
</div>
<a class="sd-stretched-link" href="https://github.com/asmeurer"></a>
</div>
</div>
<div class="sd-col sd-d-flex-row">
<div class="sd-card sd-w-100 sd-shadow-sm sd-card-hover text-center">
<div class="sd-card-body">
<img src="https://avatars.githubusercontent.com/u/3813847?v=4%22" alt="Avatar of Atsushi Sakai">
Atsushi Sakai
</div>
<a class="sd-stretched-link" href="https://github.com/AtsushiSakai"></a>
</div>
</div>
<div class="sd-col sd-d-flex-row">
<div class="sd-card sd-w-100 sd-shadow-sm sd-card-hover text-center">
<div class="sd-card-body">
<img src="https://avatars.githubusercontent.com/u/6691888?v=4%22" alt="Avatar of Ben Nathanson">
Ben Nathanson
</div>
<a class="sd-stretched-link" href="https://github.com/bjnath"></a>