<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet href="/feed.rss.xml" type="text/xsl" media="screen"?>
<rss version="2.0" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:media="http://search.yahoo.com/mrss/" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>Matt Hayes</title>
    <description/>
    <link>https://speakerdeck.com/mysterycommand</link>
    <atom:link rel="self" type="application/rss+xml" href="https://speakerdeck.com/mysterycommand.rss"/>
    <lastBuildDate>2017-11-17 11:09:07 -0500</lastBuildDate>
    <item>
      <title>Particle Systems for Fun and Profit</title>
      <description>A talk given at LibertyJS in November of 2017: https://libertyjs.com
Source code with examples is available on Github:
https://github.com/mysterycommand/particles-fun-profit

Particle systems are most commonly used in games and physical simulations, but needn't be complex in order to reap many of their benefits. Using just a handful of patterns borrowed mostly from game programming, we can build a particle system that is easy to reason about and that has excellent performance characteristics. This combination of reason-about-ability and performance will enable rapid iteration over a number of possible uses and implementations of such a system.</description>
      <media:content url="https://files.speakerdeck.com/presentations/fcce451f6e8f418799e65311139ae5e6/preview_slide_0.jpg?8995862" type="image/jpeg" medium="image"/>
      <content:encoded>A talk given at LibertyJS in November of 2017: https://libertyjs.com
Source code with examples is available on Github:
https://github.com/mysterycommand/particles-fun-profit

Particle systems are most commonly used in games and physical simulations, but needn't be complex in order to reap many of their benefits. Using just a handful of patterns borrowed mostly from game programming, we can build a particle system that is easy to reason about and that has excellent performance characteristics. This combination of reason-about-ability and performance will enable rapid iteration over a number of possible uses and implementations of such a system.</content:encoded>
      <pubDate>Fri, 17 Nov 2017 00:00:00 -0500</pubDate>
      <link>https://speakerdeck.com/mysterycommand/particle-systems-for-fun-and-profit</link>
      <guid>https://speakerdeck.com/mysterycommand/particle-systems-for-fun-and-profit</guid>
    </item>
  </channel>
</rss>
