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<?xml version="1.0" encoding="utf-8" standalone="yes"?><rssversion="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:linkhref="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><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">
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<?xml version="1.0" encoding="utf-8" standalone="yes"?><rssversion="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:linkhref="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><figure class="align-default" id="id000">
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<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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<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>
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<p><span class="caption-text"></span>
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</figcaption>
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</figure>
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<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>
You don't play for the crowd, you play for the country.
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</p>
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<p class="attribution">—M S Dhoni, <em>International Cricket Player, ex-captain, Indian Team, plays for Chennai Super Kings in IPL</em></p>
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</blockquote>
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</p>
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<p class="attribution">—M S Dhoni, <em>International Cricket Player, ex-captain, Indian Team, plays for Chennai Super Kings in IPL</em></p>
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</blockquote>
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<h2 id="about-cricket">About Cricket<a class="headerlink" href="#about-cricket" title="Link to this heading">#</a></h2>
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<p>It would be an understatement to state that Indians love cricket. The game is
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<h2 id="about-cricket">About Cricket<a class="headerlink" href="#about-cricket" title="Link to this heading">#</a></h2>
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<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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<a href="https://www.statista.com/topics/4543/indian-premier-league-ipl/">money</a> and
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<a href="https://www.statista.com/topics/4543/indian-premier-league-ipl/">money</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.</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">
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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">
<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>
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<p><span class="caption-text"></span>
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</figcaption>
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</figure>
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<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>
Open Source Software is accelerating Biomedicine. DeepLabCut enables automated video analysis of animal behavior using Deep Learning.
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</p>
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<p class="attribution">—Alexander Mathis, <em>Assistant Professor, École polytechnique fédérale de Lausanne</em> (<a href="https://www.epfl.ch/en/">EPFL</a>)</p>
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</blockquote>
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</p>
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<p class="attribution">—Alexander Mathis, <em>Assistant Professor, École polytechnique fédérale de Lausanne</em> (<a href="https://www.epfl.ch/en/">EPFL</a>)</p>
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</blockquote>
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<h2 id="about-deeplabcut">About DeepLabCut<a class="headerlink" href="#about-deeplabcut" title="Link to this heading">#</a></h2>
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<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">
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<h2 id="about-deeplabcut">About DeepLabCut<a class="headerlink" href="#about-deeplabcut" title="Link to this heading">#</a></h2>
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<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">
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<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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<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>
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<p><span class="caption-text"></span>
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</figcaption>
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</figure>
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<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>
<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>
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<p>Gravitational waves are ripples in the fabric of space and time, generated by
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<h2 id="about-gravitational-waves-and-ligo">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-waves-and-ligo" title="Link to this heading">#</a></h2>
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<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.</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">
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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">
Imaging the M87 Black Hole is like trying to see something that is by definition impossible to see.
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</p>
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<p class="attribution">—Katie Bouman, <em>Assistant Professor, Computing &amp; Mathematical Sciences, Caltech</em></p>
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</blockquote>
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</p>
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<p class="attribution">—Katie Bouman, <em>Assistant Professor, Computing &amp; Mathematical Sciences, Caltech</em></p>
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</blockquote>
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<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>
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<p>The <a href="https://eventhorizontelescope.org">Event Horizon telescope (EHT)</a> is an
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<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>
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<p>The <a href="https://eventhorizontelescope.org">Event Horizon telescope (EHT)</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, studying 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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<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
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from a sidewalk café in Paris!</p></description></item></channel></rss>
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<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
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from a sidewalk café in Paris!</p></description></item></channel></rss>
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