<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Strides on Aayush Bajaj's Augmenting Infrastructure</title><link>https://abaj.ai/tags/strides/</link><description>Recent content in Strides on Aayush Bajaj's Augmenting Infrastructure</description><generator>Hugo</generator><language>en</language><copyright>© 2026 Aayush Bajaj</copyright><lastBuildDate>Fri, 10 Jul 2026 08:20:25 +1000</lastBuildDate><atom:link href="https://abaj.ai/tags/strides/index.xml" rel="self" type="application/rss+xml"/><item><title>Numpy</title><link>https://abaj.ai/wiki/ccs/programming/libraries/numpy/</link><pubDate>Thu, 09 Jul 2026 21:02:56 +1000</pubDate><guid>https://abaj.ai/wiki/ccs/programming/libraries/numpy/</guid><description>&lt;p>numpy is one idea executed ruthlessly: a typed, contiguous block of memory plus enough metadata to &lt;em>reinterpret&lt;/em> it without copying. everything else — broadcasting, views, vectorised speed — falls out of that design. learn the memory model and the api stops being a list of functions and becomes a handful of consequences.&lt;span class="margin-note" data-note="official docs: https://numpy.org/doc/stable/ — the &amp;#39;numpy fundamentals&amp;#39; section is genuinely good, unusual for reference docs">
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all timings and outputs on this page are real (python 3, numpy 2.4, apple m-series).&lt;/p></description></item></channel></rss>