<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[geyaliang的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/geyaliang</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; geyaliang]]></copyright><item><title><![CDATA[NVM使用]]></title><link>https://blog.youkuaiyun.com/geyaliang/article/details/146506400</link><guid>https://blog.youkuaiyun.com/geyaliang/article/details/146506400</guid><author>geyaliang</author><pubDate>Tue, 25 Mar 2025 16:32:15 +0800</pubDate><description><![CDATA[nvm的快速安装使用]]></description><category></category></item><item><title><![CDATA[双网卡内外网配置]]></title><link>https://blog.youkuaiyun.com/geyaliang/article/details/146195875</link><guid>https://blog.youkuaiyun.com/geyaliang/article/details/146195875</guid><author>geyaliang</author><pubDate>Wed, 12 Mar 2025 09:35:48 +0800</pubDate><description><![CDATA[双网卡内外网配置(静态地址还是动态地址随意)]]></description><category></category></item><item><title><![CDATA[从零构建FastAPI后端管理系统：新手详细教程]]></title><link>https://blog.youkuaiyun.com/geyaliang/article/details/145694274</link><guid>https://blog.youkuaiyun.com/geyaliang/article/details/145694274</guid><author>geyaliang</author><pubDate>Mon, 17 Feb 2025 23:48:10 +0800</pubDate><description><![CDATA[本文为《FastAPI WEB后端 从 0 - 1 开发指南》，参考后端项目 geeker - admin - js - fastapi。]]></description><category></category></item><item><title><![CDATA[人工智能开发学习笔记-PyTorch(随学随更新)]]></title><link>https://blog.youkuaiyun.com/geyaliang/article/details/145554260</link><guid>https://blog.youkuaiyun.com/geyaliang/article/details/145554260</guid><author>geyaliang</author><pubDate>Mon, 10 Feb 2025 17:12:59 +0800</pubDate><description><![CDATA[人工智能开发学习笔记-pytorch]]></description><category></category></item><item><title><![CDATA[conda错误记录(遇到错误就更新)]]></title><link>https://blog.youkuaiyun.com/geyaliang/article/details/145533316</link><guid>https://blog.youkuaiyun.com/geyaliang/article/details/145533316</guid><author>geyaliang</author><pubDate>Sun, 09 Feb 2025 16:04:58 +0800</pubDate><description><![CDATA[conda-forge 是一个社区维护的 Conda 包仓库，通常包含比默认的 Anaconda 渠道更多的包，并且更新速度更快。例如，执行这条命令后，Conda 将在查找包时优先使用 conda-forge 渠道，然后再使用默认的 defaults 渠道。--add channels 表示将指定的渠道添加到现有的渠道列表中。解决方式：conda config --add channels conda-forge。这条命令的作用是将 conda-forge 渠道添加到 Conda 的渠道列表中。]]></description><category></category></item><item><title><![CDATA[GPU 与 CPU 在人工智能开发中的优劣剖析及 PyTorch 安装指南-CPU]]></title><link>https://blog.youkuaiyun.com/geyaliang/article/details/145513973</link><guid>https://blog.youkuaiyun.com/geyaliang/article/details/145513973</guid><author>geyaliang</author><pubDate>Sat, 08 Feb 2025 13:43:11 +0800</pubDate><description><![CDATA[摘要：本文探讨在人工智能开发中 GPU 较 CPU 表现更优的原因。从计算能力与架构、内存带宽与数据传输、计算速度与功耗以及专用硬件支持四个维度展开分析，指出 GPU 因大量核心、高内存带宽、快速计算与低功耗及完善的专用硬件支持，在深度学习等并行计算任务中优势显著，而 CPU 虽在特定任务有作用，但整体逊色于 GPU。此外，文章还提供了在命令提示符、PowerShell 及 conda 环境下安装 PyTorch 的具体步骤，为人工智能开发的环境搭建提供实用指导 。]]></description><category></category></item><item><title><![CDATA[Ruoyi-Cloud v3.6.5 文件结构分析]]></title><link>https://blog.youkuaiyun.com/geyaliang/article/details/145511790</link><guid>https://blog.youkuaiyun.com/geyaliang/article/details/145511790</guid><author>geyaliang</author><pubDate>Sat, 08 Feb 2025 11:27:18 +0800</pubDate><description><![CDATA[本文深入剖析了 Ruoyi-Cloud v3.6.5 的文件结构，为开发者深入理解和二次开发 Ruoyi-Cloud v3.6.5 提供全面参考。]]></description><category></category></item><item><title><![CDATA[若依 v3.8.7 文件结构分析-SpringBoot]]></title><link>https://blog.youkuaiyun.com/geyaliang/article/details/145511049</link><guid>https://blog.youkuaiyun.com/geyaliang/article/details/145511049</guid><author>geyaliang</author><pubDate>Sat, 08 Feb 2025 11:09:20 +0800</pubDate><description><![CDATA[看完 若依 Spring Boot 内容，就能上手使用。]]></description><category></category></item><item><title><![CDATA[virtualenv虚拟化安装与命令]]></title><link>https://blog.youkuaiyun.com/geyaliang/article/details/145510342</link><guid>https://blog.youkuaiyun.com/geyaliang/article/details/145510342</guid><author>geyaliang</author><pubDate>Sat, 08 Feb 2025 10:39:18 +0800</pubDate><description><![CDATA[以上就是使用virtualenv和在 Windows 上管理 Python 虚拟环境的完整步骤。希望这些信息对你有所帮助！如果有任何疑问或需要进一步的帮助，请随时提问。]]></description><category></category></item><item><title><![CDATA[使用 Python `venv` 模块创建和管理虚拟环境]]></title><link>https://blog.youkuaiyun.com/geyaliang/article/details/145510310</link><guid>https://blog.youkuaiyun.com/geyaliang/article/details/145510310</guid><author>geyaliang</author><pubDate>Sat, 08 Feb 2025 10:38:11 +0800</pubDate><description><![CDATA[Python 的venv模块允许你在同一个系统上为不同的项目创建独立的 Python 环境。这有助于避免不同项目之间的库冲突，并确保项目的开发和运行环境的一致性。]]></description><category></category></item><item><title><![CDATA[CMD 中 Conda 与 Virtualenv 虚拟环境的区别]]></title><link>https://blog.youkuaiyun.com/geyaliang/article/details/145510197</link><guid>https://blog.youkuaiyun.com/geyaliang/article/details/145510197</guid><author>geyaliang</author><pubDate>Sat, 08 Feb 2025 10:37:27 +0800</pubDate><description><![CDATA[在开发过程中，使用虚拟环境可以有效隔离项目的依赖，避免不同项目之间的依赖冲突。本文将介绍如何使用批处理文件（.bat）来激活conda和virtualenv虚拟环境，并运行Streamlit应用程序。]]></description><category></category></item><item><title><![CDATA[Conda 使用说明]]></title><link>https://blog.youkuaiyun.com/geyaliang/article/details/145509991</link><guid>https://blog.youkuaiyun.com/geyaliang/article/details/145509991</guid><author>geyaliang</author><pubDate>Sat, 08 Feb 2025 10:25:41 +0800</pubDate><description><![CDATA[Conda常用命令]]></description><category></category></item><item><title><![CDATA[PyTorch及相关环境更新与安装指南-GPU]]></title><link>https://blog.youkuaiyun.com/geyaliang/article/details/145509541</link><guid>https://blog.youkuaiyun.com/geyaliang/article/details/145509541</guid><author>geyaliang</author><pubDate>Sat, 08 Feb 2025 10:10:51 +0800</pubDate><description><![CDATA[PyTorch 及相关环境更新与安装指南-GPU。
当你需要更新环境并使用最新配置时，可能需要重新下载程序。在使用 `pip` 安装过程中，部分环节下载速度较慢，可通过迅雷下载对应的 `.whl` 文件来解决。以下是详细的安装步骤。]]></description><category></category></item></channel></rss>