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Source channel @FindBlog · Post #643 · 3月1日

Flare Stack Blog ——基于 Cloudflare Workers 的现代化全栈博客 CMS ## 核心功能 • 文章管理 — 富文本编辑器,支持代码高亮、图片上传、草稿/发布流程 • 标签系统 — 灵活的文章分类 • 评论系统 — 支持嵌套回复、邮件通知、审核机制 • 友情链接 — 用户申请、管理员审核、邮件通知 • 全文搜索 — 基于 Orama 的高性能搜索 • 媒体库 — R2 对象存储,图片管理与优化 • 用户认证 — GitHub OAuth 登录,权限控制 • 数据统计 — Umami 集成,访问分析与热门文章 • AI 辅助 — Cloudflare Workers AI 集成 • 主题系统 — 可扩展的主题模板,支持完整替换所有页面和布局 • 导入导出 — 支持Markdown导入导出,保留图片以及Frontmatter Flare Stack Blog 的所有面向用户的页面与布局均通过 主题契约(Theme Contract) 与业务逻辑解耦。你可以在不修改任何路由或数据逻辑的前提下,完整替换博客的视觉表现层。 项目地址:https://github.com/du2333/flare-stack-blog #Platform#Cloudflare 频道:@FindBlog 群组:@FindBlog_Group

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Amazing Geography 🌍

@amazingeo · Post #647 · 2026/02/25 20:31

🌍 Submarine hydrothermal vents on the ocean floor release superheated water and minerals, fueling unique ecosystems powered by chemical energy instead of sunlight. ✨ #processes⚡#ocean⚡#ecosystems⚡#geography⚡#nature⚡#earth 👉subscribe Amazing Geography 👉more Channels ​

Amazing Geography 🌍

@amazingeo · Post #39 · 2025/08/13 00:12

🌍 Earth's crust is in constant motion due to convection currents—slow, swirling movement of hot rock deep below the surface. This drives plate movement, causing earthquakes and forming new land. ✨ #processes⚡#plate⚡#tectonics⚡#geology⚡#geography⚡#nature⚡#earth 👉subscribe Amazing Geography🌍

djangoproject

@djangoproject · Post #430 · 2017/09/02 03:23

https://docs.python.org/3/library/subprocess.html The #subprocess module allows you to spawn new #processes, connect to their input/output/error pipes, and obtain their return codes. This module intends to replace several older #modules and #functions. #python

djangoproject

@djangoproject · Post #290 · 2017/04/04 21:36

https://pymotw.com/3/asyncio/executors.html Combining Coroutines with Threads and Processes A lot of existing libraries are not ready to be used with #asyncio natively. They may block, or depend on concurrency features not available through the module. It is still possible to use those libraries in an application based on asyncio by using an #executor from #concurrent.futures to run the code either in a separate thread or a separate process. #Threads The #run_in_executor() method of the event loop takes an executor instance, a regular callable to invoke, and any arguments to be passed to the callable. It returns a Future that can be used to wait for the function to finish its work and return something. If no executor is passed in, a #ThreadPoolExecutor is created. This example explicitly creates an executor to limit the number of worker threads it will have available. #Processes A ProcessPoolExecutor works in much the same way, creating a set of worker #processes instead of threads. Using separate processes requires more system resources, but for computationally-intensive operations it can make sense to run a separate task on each CPU core. #learn