<?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>脚本自动化 on Hong's Site</title><link>https://taohongmaxwell.github.io/tags/%E8%84%9A%E6%9C%AC%E8%87%AA%E5%8A%A8%E5%8C%96/</link><description>Recent content in 脚本自动化 on Hong's Site</description><image><title>Hong's Site</title><url>https://taohongmaxwell.github.io/img/home-bg-o.jpg</url><link>https://taohongmaxwell.github.io/img/home-bg-o.jpg</link></image><generator>Hugo -- 0.164.0</generator><language>zh-CN</language><copyright>©2026 TaohongMaxwell</copyright><lastBuildDate>Thu, 23 May 2024 00:00:00 +0000</lastBuildDate><atom:link href="https://taohongmaxwell.github.io/tags/%E8%84%9A%E6%9C%AC%E8%87%AA%E5%8A%A8%E5%8C%96/index.xml" rel="self" type="application/rss+xml"/><item><title>CST_with_Python（一）：搭建 Python 环境</title><link>https://taohongmaxwell.github.io/posts/2024-05-23-cst-with-python-1-python-env/</link><pubDate>Thu, 23 May 2024 00:00:00 +0000</pubDate><guid>https://taohongmaxwell.github.io/posts/2024-05-23-cst-with-python-1-python-env/</guid><description>本文为「CST_with_Python」系列第一篇技术教程，系统介绍如何搭建 Python 环境以通过脚本自动化控制 CST Studio Suite。内容包括 Python 版本选择与安装、环境变量配置、Jupyter Notebook 部署、以及验证 CST Python 库接口是否正常连接，为后续建模、仿真优化和外部后处理打下基础。</description></item></channel></rss>