<?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>Dataframes on danilchenko.dev</title><link>https://danilchenko.dev/tags/dataframes/</link><description>Recent content in Dataframes on danilchenko.dev</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Fri, 17 Apr 2026 06:00:00 +0000</lastBuildDate><atom:link href="https://danilchenko.dev/tags/dataframes/index.xml" rel="self" type="application/rss+xml"/><item><title>Polars vs Pandas in 2026: Honest Benchmarks and When to Switch</title><link>https://danilchenko.dev/posts/polars-vs-pandas/</link><pubDate>Fri, 17 Apr 2026 06:00:00 +0000</pubDate><guid>https://danilchenko.dev/posts/polars-vs-pandas/</guid><description>Polars vs Pandas in 2026: 5-11x speedups on the right workloads, but Pandas still wins for small data and ML pipelines. Real numbers from a 100M-row run.</description></item></channel></rss>