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    <title>InfoQ - Language Design</title>
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      <title>Presentation: Python, Numba, and Algorithm Design: Building Efficient Models in Financial Services</title>
      <link>https://www.infoq.com/presentations/numba/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Language+Design</link>
      <description>&lt;img src="https://res.infoq.com/presentations/numba/en/mediumimage/chad-schuster-medium-1787217755995.jpeg"/&gt;&lt;p&gt;Chad Schuster discusses bridging Python's developer velocity with C-like performance using Numba JIT and GPUs. Drawing from large-scale actuarial modeling, he explains LLVM pipeline architecture, performance gains up to 750x, and essential trade-offs like OOP limits, type inference errors, and compile-time overhead for engineering leaders scaling compute-heavy enterprise systems.&lt;/p&gt; &lt;i&gt;By Chad Schuster&lt;/i&gt;</description>
      <category>QCon San Francisco 2025</category>
      <category>Language Design</category>
      <category>Python</category>
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      <pubDate>Thu, 27 Aug 2026 09:23:00 GMT</pubDate>
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      <dc:creator>Chad Schuster</dc:creator>
      <dc:date>2026-08-27T09:23:00Z</dc:date>
      <dc:identifier>/presentations/numba/en</dc:identifier>
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