<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Python on Latent Engineering</title><link>https://blog.latent.to/tags/python/</link><description>Recent content in Python on Latent Engineering</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 02 Jun 2026 13:36:25 +0200</lastBuildDate><atom:link href="https://blog.latent.to/tags/python/index.xml" rel="self" type="application/rss+xml"/><item><title>Two caches in a trench coat: CachedFetcher and the art of not making the same request twice</title><link>https://blog.latent.to/posts/cached-fetcher/</link><pubDate>Tue, 02 Jun 2026 13:36:25 +0200</pubDate><guid>https://blog.latent.to/posts/cached-fetcher/</guid><description>An async caching primitive that does two jobs at once, memoization and request coalescing, and why being able to switch one of them off gives you deduplication that can&amp;rsquo;t go stale.</description></item></channel></rss>