<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hacker News: kghvlgvkg</title><link>https://news.ycombinator.com/user?id=kghvlgvkg</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Thu, 02 Jul 2026 16:24:11 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=kghvlgvkg" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by kghvlgvkg in "Internal Combustion Engine"]]></title><description><![CDATA[
<p>There's an array of javascript libraries to choose from, but maybe you would find Observable (reactive javascript notebooks) to be a good substitute for Jupyter.<p>Observable is geared toward the use of d3.js (essentially a library for drawing charts and graphs) which can be a bit intimidating, but you can use other libraries as well. For 3D, regl seems to be a good option. It's a library which makes using WebGL a bit more convenient. Here's an example of an Observable notebook that uses regl: <a href="https://observablehq.com/@rreusser/contour-plots-with-d3-regl-and-observable?collection=@rreusser/writeups" rel="nofollow">https://observablehq.com/@rreusser/contour-plots-with-d3-reg...</a><p>Check out R. Reusser's other notebooks too. My guess is that choosing a set of JS libraries/tools to learn is the hard part, here, once you've committed to javascript.<p><a href="http://regl.party/" rel="nofollow">http://regl.party/</a></p>
]]></description><pubDate>Sat, 01 May 2021 15:41:32 +0000</pubDate><link>https://news.ycombinator.com/item?id=27007174</link><dc:creator>kghvlgvkg</dc:creator><comments>https://news.ycombinator.com/item?id=27007174</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=27007174</guid></item></channel></rss>