@djangoproject · Post #585 · 03/23/2018, 02:43 AM
https://www.fullstackpython.com/celery.html #Celery is a task #queue implementation for Python web applications used to #asynchronously execute work outside the HTTP request-response cycle.
Hashtags
TGINSIGHT SIMILAR POSTS
Source channel @githubtrending · Post #15441 · Jan 27
#typescript Pi Monorepo offers tools like pi-ai for unified LLM APIs (OpenAI, Anthropic, etc.), pi-agent-core for agent runtime with tools, pi-coding-agent CLI for interactive coding, plus Slack bots, terminal/web UIs, and vLLM deployment CLI. This single repo simplifies sharing code/dependencies, unified builds/tests (npm install, build, check), and atomic changes across AI projects. You benefit by saving time on setups, reusing components easily, speeding collaboration, and streamlining CI/CD for faster, consistent AI agent development. https://github.com/badlogic/pi-mono
Hashtags
Search: #asynchronously
@djangoproject · Post #585 · 03/23/2018, 02:43 AM
https://www.fullstackpython.com/celery.html #Celery is a task #queue implementation for Python web applications used to #asynchronously execute work outside the HTTP request-response cycle.
Hashtags
@djangoproject · Post #262 · 02/16/2017, 07:24 AM
http://masnun.com/2015/11/20/python-asyncio-future-task-and-the-event-loop.html On any platform, when we want to do something #asynchronously, it usually involves an #event loop. An event loop is a loop that can register #tasks to be executed, execute them, delay or even cancel them and handle different events related to these operations. Generally, we #schedule multiple async functions to the event loop. The loop runs one function, while that function waits for #IO, it pauses it and runs another. When the first function completes IO, it is resumed. Thus two or more functions can #co_operatively run together. This the main goal of an event loop.