@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.
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Source channel @githubtrending · Post #14759 · May 29
#typescript#data_layer#local_first#signals#sqlite#state_management#sync_engine LiveStore is a powerful data layer for apps that uses a reactive SQLite database to manage and sync data instantly across devices, even offline. It replaces traditional state management tools like Redux by allowing you to query and update data reactively with real-time syncing via event-sourcing. It supports many platforms and UI frameworks, offers flexible data modeling, and handles merge conflicts automatically. This means your app can work smoothly offline, sync changes seamlessly, and stay fast and reliable. LiveStore helps you build high-performance, offline-first apps with easy debugging and evolution. https://github.com/livestorejs/livestore
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@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.
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@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.