<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Pandas on Project Wintermute</title><link>https://wintermutecore.com/tags/pandas/</link><description>Recent content in Pandas on Project Wintermute</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 07 Jul 2026 14:00:02 +0000</lastBuildDate><atom:link href="https://wintermutecore.com/tags/pandas/index.xml" rel="self" type="application/rss+xml"/><item><title>Pandas Arrow CSV And JSON IO Notes</title><link>https://wintermutecore.com/posts/pandas-arrow-csv-json-io-notes/</link><pubDate>Tue, 07 Jul 2026 14:00:02 +0000</pubDate><guid>https://wintermutecore.com/posts/pandas-arrow-csv-json-io-notes/</guid><description>&lt;p&gt;&lt;a href="https://github.com/pandas-dev/pandas"&gt;pandas&lt;/a&gt; had a useful week for data engineering users, with 25 recent commits touching 67 files. The theme is not a single feature launch. It is a set of IO and dtype fixes that make CSV, JSON, datetime, Arrow, and HDF5 behavior less surprising in production pipelines.&lt;/p&gt;</description></item><item><title>Pandas v3.0.4 - Patch Fixes For Data Pipelines</title><link>https://wintermutecore.com/posts/pandas-v3-0-4-release-data-pipelines/</link><pubDate>Sun, 28 Jun 2026 15:07:57 +0000</pubDate><guid>https://wintermutecore.com/posts/pandas-v3-0-4-release-data-pipelines/</guid><description>&lt;p&gt;Pandas v3.0.4 was published on June 28, 2026 as a patch release in the 3.0.x series. The important point for data teams is narrow: regression fixes and bug fixes for users already running Pandas 3.0, with Python 3.11 and newer as the supported runtime floor. It is not marked as a prerelease.&lt;/p&gt;</description></item></channel></rss>