<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>技术分享 · huangshuai 的博客</title><link>https://blog.huangshuai.xyz/tags/%E6%8A%80%E6%9C%AF%E5%88%86%E4%BA%AB/</link><description>记录想法，留下一些值得回看的文字。</description><language>zh-CN</language><generator>Hugo</generator><atom:link href="https://blog.huangshuai.xyz/tags/%E6%8A%80%E6%9C%AF%E5%88%86%E4%BA%AB/index.xml" rel="self" type="application/rss+xml"/><item><title>windows下安装WSL2</title><link>https://blog.huangshuai.xyz/posts/wsl-install/</link><guid>https://blog.huangshuai.xyz/posts/wsl-install/</guid><pubDate>Thu, 08 Aug 2024 00:00:00 +0800</pubDate><description>Windows subsystem of Linux</description></item><item><title>Code Achrived</title><link>https://blog.huangshuai.xyz/posts/code-archived/</link><guid>https://blog.huangshuai.xyz/posts/code-archived/</guid><pubDate>Fri, 24 May 2024 00:00:00 +0800</pubDate><description>代码与遇到的问题存档</description></item><item><title>GIT USAGE</title><link>https://blog.huangshuai.xyz/posts/git-usage/</link><guid>https://blog.huangshuai.xyz/posts/git-usage/</guid><pubDate>Wed, 24 Apr 2024 00:00:00 +0800</pubDate><description>描述了如何把本地文件夹上传到GitHub仓库以及绑定自己的GitHub账号</description></item><item><title>Python连接Neo4j</title><link>https://blog.huangshuai.xyz/posts/python-neo4j/</link><guid>https://blog.huangshuai.xyz/posts/python-neo4j/</guid><pubDate>Tue, 09 Apr 2024 00:00:00 +0800</pubDate><description>本文主要介绍了如何使用python连接neo4j以及基本的创建图谱代码</description></item><item><title>Python配置Linux远程服务器</title><link>https://blog.huangshuai.xyz/posts/pycharm-connect-linux/</link><guid>https://blog.huangshuai.xyz/posts/pycharm-connect-linux/</guid><pubDate>Tue, 26 Mar 2024 00:00:00 +0800</pubDate><description>pycharm连接远程linux服务器实现文件同步和代码远程执行</description></item><item><title>Jupyter Notebook / Lab使用说明</title><link>https://blog.huangshuai.xyz/posts/jupyter-botebook/</link><guid>https://blog.huangshuai.xyz/posts/jupyter-botebook/</guid><pubDate>Mon, 04 Mar 2024 00:00:00 +0800</pubDate><description>如何在本地使用jupyter notebook或jupyter lab</description></item></channel></rss>