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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>Case-Studies on NumPy</title><link>https://numpy.org/case-studies/</link><description>Recent content in Case-Studies on NumPy</description><generator>Hugo</generator><language>en</language><atom:link href="https://numpy.org/case-studies/index.xml" rel="self" type="application/rss+xml"/><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>IPLT20, the biggest Cricket Festival in India#
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(Image credits: IPLT20 (cup and logo) &amp;amp; Akash Yadav (stadium)) You don't play for the crowd, you play for the country. —M S Dhoni, International Cricket Player, ex-captain, Indian Team, plays for Chennai Super Kings in IPL
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About Cricket# 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.</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>Analyzing mice hand-movement using DeepLapCut#
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(Source: www.deeplabcut.org ) Open Source Software is accelerating Biomedicine. DeepLabCut enables automated video analysis of animal behavior using Deep Learning. —Alexander Mathis, Assistant Professor, École polytechnique fédérale de Lausanne (EPFL)
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About DeepLabCut# DeepLabCut 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.</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>Gravitational Waves#
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(Image Credits: The Simulating eXtreme Spacetimes (SXS) Project at LIGO) The scientific Python ecosystem is critical infrastructure for the research done at LIGO. —David Shoemaker, LIGO Scientific Collaboration
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About Gravitational Waves and LIGO# 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.</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>Black Hole M87#
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(Image Credits: Event Horizon Telescope Collaboration) Imaging the M87 Black Hole is like trying to see something that is by definition impossible to see. —Katie Bouman, Assistant Professor, Computing &amp;amp; Mathematical Sciences, Caltech
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A telescope the size of the earth# The Event Horizon telescope (EHT) is an array of eight ground-based radio telescopes forming a computational telescope the size of the earth, studing the universe with unprecedented sensitivity and resolution.</description></item></channel></rss>
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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>Case-Studies on NumPy</title><link>https://numpy.org/case-studies/</link><description>Recent content in Case-Studies on NumPy</description><generator>Hugo</generator><language>en</language><atom:link href="https://numpy.org/case-studies/index.xml" rel="self" type="application/rss+xml"/><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>&lt;figure class="align-default" id="id000">&lt;img src="https://numpy.org/images/content_images/cs/ipl-stadium.png" alt="Indian Premier League Cricket cup and stadium" class="align-center">
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&lt;figcaption>&lt;strong class="caption-title">IPLT20, the biggest Cricket Festival in India&lt;/strong>&lt;a class="headerlink" href="#id000" title="Link to this image">#&lt;/a>&lt;br>&lt;a href="https://unsplash.com/@aksh1802">(Image credits: IPLT20 (cup and logo) &amp;amp; Akash Yadav (stadium))&lt;/a>
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&lt;p>&lt;span class="caption-text">&lt;/span>
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&lt;/figcaption>
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&lt;/figure>
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&lt;blockquote cite="https://www.scoopwhoop.com/sports/ms-dhoni/">
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&lt;p>
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You don't play for the crowd, you play for the country.
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&lt;/p>
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&lt;p class="attribution">—M S Dhoni, &lt;em>International Cricket Player, ex-captain, Indian Team, plays for Chennai Super Kings in IPL&lt;/em>&lt;/p>
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&lt;/blockquote>
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&lt;h2 id="about-cricket">About Cricket&lt;a class="headerlink" href="#about-cricket" title="Link to this heading">#&lt;/a>&lt;/h2>
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&lt;p>It would be an understatement to state that Indians love cricket. The game is
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played in just about every nook and cranny of India, rural or urban, popular
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with the young and the old alike, connecting billions in India unlike any other sport.
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Cricket enjoys lots of media attention. There is a significant amount of
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&lt;a href="https://www.statista.com/topics/4543/indian-premier-league-ipl/">money&lt;/a> and
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fame at stake. Over the last several years, technology has literally been a game
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changer. Audiences are spoilt for choice with streaming media, tournaments,
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affordable access to mobile based live cricket watching, and more.&lt;/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>&lt;figure class="align-default" id="id000">&lt;img src="https://numpy.org/images/content_images/cs/mice-hand.gif" alt="micehandanim" class="align-center">
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&lt;figcaption>&lt;strong class="caption-title">Analyzing mice hand-movement using DeepLapCut&lt;/strong>&lt;a class="headerlink" href="#id000" title="Link to this image">#&lt;/a>&lt;br>&lt;a href="http://www.mousemotorlab.org/deeplabcut">(Source: www.deeplabcut.org )&lt;/a>
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&lt;p>&lt;span class="caption-text">&lt;/span>
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&lt;/figcaption>
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&lt;/figure>
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&lt;blockquote cite="https://news.harvard.edu/gazette/story/newsplus/harvard-researchers-awarded-czi-open-source-award/">
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&lt;p>
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Open Source Software is accelerating Biomedicine. DeepLabCut enables automated video analysis of animal behavior using Deep Learning.
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&lt;/p>
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&lt;p class="attribution">—Alexander Mathis, &lt;em>Assistant Professor, École polytechnique fédérale de Lausanne&lt;/em> (&lt;a href="https://www.epfl.ch/en/">EPFL&lt;/a>)&lt;/p>
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&lt;/blockquote>
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&lt;h2 id="about-deeplabcut">About DeepLabCut&lt;a class="headerlink" href="#about-deeplabcut" title="Link to this heading">#&lt;/a>&lt;/h2>
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&lt;p>&lt;a href="https://github.com/DeepLabCut/DeepLabCut">DeepLabCut&lt;/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.&lt;/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>&lt;figure class="align-default" id="id000">&lt;img src="https://numpy.org/images/content_images/cs/gw_sxs_image.png" alt="binary coalesce black hole generating gravitational waves" class="align-center">
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&lt;figcaption>&lt;strong class="caption-title">Gravitational Waves&lt;/strong>&lt;a class="headerlink" href="#id000" title="Link to this image">#&lt;/a>&lt;br>&lt;a href="https://youtu.be/Zt8Z_uzG71o">(Image Credits: The Simulating eXtreme Spacetimes (SXS) Project at LIGO)&lt;/a>
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&lt;p>&lt;span class="caption-text">&lt;/span>
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&lt;/figcaption>
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&lt;/figure>
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&lt;blockquote cite="https://www.youtube.com/watch?v=BIvezCVcsYs">
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&lt;p>
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The scientific Python ecosystem is critical infrastructure for the research done at LIGO.
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&lt;/p>
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&lt;p class="attribution">—David Shoemaker, &lt;em>LIGO Scientific Collaboration&lt;/em>&lt;/p>
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&lt;/blockquote>
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&lt;h2 id="about-gravitational-waveshttpswwwnationalgeographiccomnews201710what-are-gravitational-waves-ligo-astronomy-science-and-ligohttpswwwligocaltechedu">About &lt;a href="https://www.nationalgeographic.com/news/2017/10/what-are-gravitational-waves-ligo-astronomy-science/">Gravitational Waves&lt;/a> and &lt;a href="https://www.ligo.caltech.edu">LIGO&lt;/a>&lt;a class="headerlink" href="#about-gravitational-waveshttpswwwnationalgeographiccomnews201710what-are-gravitational-waves-ligo-astronomy-science-and-ligohttpswwwligocaltechedu" title="Link to this heading">#&lt;/a>&lt;/h2>
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&lt;p>Gravitational waves are ripples in the fabric of space and time, generated by
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cataclysmic events in the universe such as collision and merging of two black
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holes or coalescing binary stars or supernovae. Observing GW can not only help
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in studying gravity but also in understanding some of the obscure phenomena in
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the distant universe and its impact.&lt;/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>&lt;figure class="align-default" id="id000">&lt;img src="https://numpy.org/images/content_images/cs/blackhole.jpg" alt="black hole image" class="align-center">
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&lt;figcaption>&lt;strong class="caption-title">Black Hole M87&lt;/strong>&lt;a class="headerlink" href="#id000" title="Link to this image">#&lt;/a>&lt;br>&lt;a href="https://www.jpl.nasa.gov/images/universe/20190410/blackhole20190410.jpg">(Image Credits: Event Horizon Telescope Collaboration)&lt;/a>
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&lt;p>&lt;span class="caption-text">&lt;/span>
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&lt;/figcaption>
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&lt;/figure>
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&lt;blockquote cite="https://www.youtube.com/watch?v=BIvezCVcsYs">
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&lt;p>
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Imaging the M87 Black Hole is like trying to see something that is by definition impossible to see.
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&lt;/p>
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&lt;p class="attribution">—Katie Bouman, &lt;em>Assistant Professor, Computing &amp;amp; Mathematical Sciences, Caltech&lt;/em>&lt;/p>
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&lt;/blockquote>
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&lt;h2 id="a-telescope-the-size-of-the-earth">A telescope the size of the earth&lt;a class="headerlink" href="#a-telescope-the-size-of-the-earth" title="Link to this heading">#&lt;/a>&lt;/h2>
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&lt;p>The &lt;a href="https://eventhorizontelescope.org">Event Horizon telescope (EHT)&lt;/a> is an
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array of eight ground-based radio telescopes forming a computational telescope
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the size of the earth, studing the universe with unprecedented
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sensitivity and resolution. The huge virtual telescope, which uses a technique
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called very-long-baseline interferometry (VLBI), has an angular resolution of
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&lt;a href="https://eventhorizontelescope.org/press-release-april-10-2019-astronomers-capture-first-image-black-hole">20 micro-arcseconds&lt;/a> — enough to read a newspaper in New York
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from a sidewalk café in Paris!&lt;/p></description></item></channel></rss>

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