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Source channel @githubtrending · Post #15515 · Feb 21

#typescript GitNexus indexes your codebase into a knowledge graph tracking dependencies, call chains, clusters, and flows, then connects AI agents like Cursor and Claude Code via CLI tools for reliable analysis. Run `npx gitnexus analyze` from your repo root to start—it auto-generates context files and MCP setup. Use tools like `impact` for change risks or `rename` for safe refactors. This boosts your productivity by preventing AI blind edits, cutting debugging time, and enabling smaller models to grasp full architecture fast. https://github.com/abhigyanpatwari/GitNexus

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djangoproject

@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.

djangoproject

@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.