<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Jupyter | Peilong Ma</title><link>https://mplebron.github.io/tags/jupyter/</link><atom:link href="https://mplebron.github.io/tags/jupyter/index.xml" rel="self" type="application/rss+xml"/><description>Jupyter</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Tue, 10 Mar 2026 00:00:00 +0000</lastBuildDate><image><url>https://mplebron.github.io/media/icon_hu68170e94a17a2a43d6dcb45cf0e8e589_3079_512x512_fill_lanczos_center_3.png</url><title>Jupyter</title><link>https://mplebron.github.io/tags/jupyter/</link></image><item><title>PyGeoModel: A Python Package for Integrating Intelligent Geographic Model Services for Urban Analysis in Jupyter</title><link>https://mplebron.github.io/publication/pygeomodel-under-review/</link><pubDate>Tue, 10 Mar 2026 00:00:00 +0000</pubDate><guid>https://mplebron.github.io/publication/pygeomodel-under-review/</guid><description>&lt;p>This under-review paper introduces PyGeoModel as a Jupyter-oriented interface for discovering, configuring, and executing intelligent geographic model services in urban analysis workflows.&lt;/p></description></item><item><title>PyGeoModel: A Python Package for Integrating Intelligent Geographic Model Services into Jupyter's Interactive Computing Environment</title><link>https://mplebron.github.io/event/cpgis-2025/</link><pubDate>Sun, 01 Jun 2025 09:00:00 +0800</pubDate><guid>https://mplebron.github.io/event/cpgis-2025/</guid><description>&lt;p>Presented at the 2025 conference in Jiaozuo and received the &lt;a href="https://x.com/cpgis_media/status/1935439054767604062?s=20">Best Paper award&lt;/a>.&lt;/p></description></item><item><title>PyGeoModel</title><link>https://mplebron.github.io/project/pygeomodel/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://mplebron.github.io/project/pygeomodel/</guid><description>&lt;p>PyGeoModel is an intelligent Python package for urban and geographic modeling within Jupyter environments.&lt;/p>
&lt;p>It combines model recommendation, interactive configuration, question answering, and service-based execution to make geographic modeling more accessible in computational notebooks.&lt;/p></description></item></channel></rss>