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Source channel @TossLabChannel · Post #324 · 12月7日

#邮箱#验证码#Email#auth Auth Inbox 开源多邮箱验证码平台 一个基于 Cloudflare 免费服务的自建平台,支持以下功能: • 邮件处理:自动捕获并存储收到的邮件。 • 验证码提取:智能提取验证码、链接及组织名称。 • 安全前端:通过网页界面查看提取信息,支持访问保护。 • 实时通知:通过 Bark 推送验证码提醒。 • 数据库集成:邮件数据存储在 D1Database 中。 适合不想在主邮箱接收广告,又需要多个备用邮箱的用户! 📢 群聊: @TossQL 🎈 频道: @TossQLChannel ❤️不想错过精彩内容,请打开 #频道通知,你的 #阅读#点赞#转发 便是我发帖的最大动力!

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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