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Source channel @olddriverGDstudy · Post #49 · Mar 24

江湖舔狗传 江湖者,江湖也! 各兄弟五湖四海汇聚一堂,为的是个情字,讲的是个义字,说的是个道理。 江湖上无数前辈好汉,忍饥挨饿,夜以继日,通宵达旦,上下求索,陷过无数的坑,踏破无数双鞋换得了有限的几个极品资源,未曾敢占为己有,而是毫无保留,无私公布奉献。 这一切为什么?为的是天下草根、屌丝们,不受仙人跳之苦,不遭各种骗费之难,不枉花了辛苦搬砖的银两盘缠,这是多么高尚的精神,多么高贵的品质啊! 江湖就是江湖,林子大了什么鸟儿都有,舔狗们也像病毒般出没,为害人间。这些禽兽毫无尊严、毫无底线,从溜须拍马、到阿谀奉承,从冷屁股到甜盘子全方位无死角。 舔狗,做着劝婊子从良的梦,抱着救风尘女子出火坑的“崇高”的性幻想,岂不知自己已是婊子口中的笑话! 江湖有江湖的规矩,江湖有江湖的原则,江湖有江湖的风貌,江湖有江湖的脾气。 我知舔狗是死不光的,这一车死光了,下一车还在路上。 但舔狗永远不过是个道具而已,又何必自作多情。 舔狗,你听,电话声已响起,你的钟到了!闭上臭嘴,滚出去把门关上! 作者:41秒哥 标签:#语录

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djangoproject

@djangoproject · Post #279 · 03/20/2017, 07:42 AM

https://realpython.com/blog/python/getting-started-with-django-channels/#.WLWLY9_IJ0s.linkedin In this tutorial, we will use #Django_Channels to create a real-time application that updates a list of users as they log in and out. Django Channels Logo With #WebSockets (via Django Channels) managing the communication between the client and the server, whenever a user is authenticated, an event will be broadcasted to every other connected user. Each user’s screen will change automatically, without them having to reload their browsers.

djangoproject

@djangoproject · Post #576 · 03/02/2018, 12:52 PM

https://www.obeythetestinggoat.com/pages/book.html#toc "Test-Driven Web Development with Python" aims to teach #TDD for web programming. It uses a concrete example — the development of a website, from scratch — to explain the TDD metholology and how it applies to building web applications. It covers the #Selenium browser-automation tool, #unit_testing, mocking, and interacting with Web technologies from the basics of static content, database integration, throught the inescapable JavaScript, and onto more advanced (and trendy) topics like #NoSQL, #websockets and Async programming.

djangoproject

@djangoproject · Post #517 · 12/08/2017, 05:27 AM

https://vorpus.org/blog/some-thoughts-on-asynchronous-api-design-in-a-post-asyncawait-world/#websocket-servers I've recently been exploring the exciting new world of #asynchronous I/O libraries in Python 3 – specifically asyncio and curio. These two libraries make some different design choices. Example 1: #asyncio, with callbacks Example 2: #curio, with #async/#await Example 3: asyncio, with async/await #websockets

djangoproject

@djangoproject · Post #228 · 01/16/2017, 01:11 PM

http://www.aparat.com/v/miNUS pycon 2016- Andrew Godwin - Reinventing Django for the #Real_Time Web Django has long been tied to the #request_response pattern, but the upcoming "#channels" project changes this and allows #Django to natively support #WebSockets, running tasks after responses, easily handle #long_polling and more. Come and learn about the design, how we're trying to keep things as Django-like as possible, and how you can use it in your projects.

GitHub Trends

@githubtrending · Post #15556 · 03/12/2026, 12:30 PM

#typescript#ai#ai_agents#coding#deno#embeddings#insforge#nextjs#oauth2#pgvector#postgresql#realtime#vectors#websockets InsForge is an open-source backend platform for AI coding agents, offering easy auth, Postgres database, S3 storage, edge functions, and model gateway via a simple semantic layer. Agents fetch context, configure services, and inspect state to build full-stack apps quickly. Set up locally with Docker or use cloud deploys. It boosts agent accuracy 1.7x, speed 1.6x, and cuts tokens 30% vs. rivals, letting you prototype and ship AI-driven apps faster with less hassle and cost. https://github.com/InsForge/InsForge

GitHub Trends

@githubtrending · Post #15204 · 10/08/2025, 11:30 AM

#java#cloud#coap#dashboard#iot#iot_analytics#iot_platform#iot_solutions#java#kafka#lwm2m#microservices#middleware#mqtt#netty#platform#snmp#thingsboard#visualization#websockets#widgets ThingsBoard is an open-source IoT platform that helps manage and analyze data from connected devices. It allows users to collect data, create real-time dashboards, and automate tasks using a powerful rule engine. This platform supports various protocols like MQTT and HTTP, making it easy to connect devices. Users can also define relationships between devices and assets, and trigger alarms based on specific conditions. The benefit is that it simplifies IoT project development, making it scalable and efficient for applications like smart farming, smart offices, and more. https://github.com/thingsboard/thingsboard