<?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>Sql on danilchenko.dev</title><link>https://www.danilchenko.dev/tags/sql/</link><description>Recent content in Sql on danilchenko.dev</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 27 Aug 2026 08:20:56 +0000</lastBuildDate><atom:link href="https://www.danilchenko.dev/tags/sql/index.xml" rel="self" type="application/rss+xml"/><item><title>DuckDB in Python: Query CSV, Parquet, and Pandas with SQL</title><link>https://www.danilchenko.dev/posts/duckdb-python/</link><pubDate>Thu, 27 Aug 2026 08:20:56 +0000</pubDate><guid>https://www.danilchenko.dev/posts/duckdb-python/</guid><description>DuckDB in Python turns SQL into a zero-setup analytics engine: query CSV, Parquet, and Pandas DataFrames in-process, join across sources, and add UDFs.</description></item></channel></rss>