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<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>PyHPC Tutorial</title>
<meta name="author" content="pyHPCTeam">
<meta name="apple-mobile-web-app-capable" content="yes" />
<meta name="apple-mobile-web-app-status-bar-style" content="black-translucent" />
<meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no">
<link rel="stylesheet" href="css/reveal.css">
<link rel="stylesheet" href="css/theme/continuum.css" id="theme">
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<link rel="stylesheet" href="lib/css/xcode.css">
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<script>
document.write( '<link rel="stylesheet" href="css/print/' + ( window.location.search.match( /print-pdf/gi ) ? 'pdf' : 'paper' ) + '.css" type="text/css" media="print">' );
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<body>
<h1>PyHPC Tutorial</h1>
<h2>Supercomputing 2013</h2>
Presented by:
<ul>
<li>Andy R. Terrel, The University of Texas at Austin</li>
<li>Travis Oliphant, Continuum Analytics, Inc</li>
<li>Aron Ahmadia, Army Corps of Engineers</li>
<li>Kurt Smith, Enthought, Inc</li>
</ul>
<h3>Tutorial Materials</h3>
<ul>
<li>Introduction to Python for Science <a href="html/intro.html">[html]</a> <a href="">[pdf]</a> <a href="">[exercises]</a></li>
<li>Speeding Python and wrapping legacy code <a href="hmtl/speed.html">[html]</a> <a href="">[pdf]</a> <a href="">[exercises]</a></li>
<li>Scaling Python <a href="html/scale.html">[html]</a> <a href="">[pdf]</a> <a href="">[exercises]</a></li>
<li>Big Data in Python <a href="">[html]</a> <a href="html/data.html">[pdf]</a> <a href="">[exercises]</a></li>
</ul>
<h3>Other resources</h3>
<ul>
<li>Python Tutorials</li>
<ul>
<li><a href="http://docs.python.org/2/tutorial/">Official Python Tutorial</a></li>
<li><a href="http://learnpythonthehardway.org/">Learning Python the Hard Way</a></li>
</ul>
<li><a href=""></a></li>
<li><a href=""></a></li>
</ul>
</body>
</html>