@djangoproject · Post #585 · 23.03.2018 г., 02:43
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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TGINSIGHT SIMILAR POSTS
Изворен канал @pythonotes · Post #217 · 19 фев.
Еще один пример с ресурсами. Читаем картинку из PYZ архива сразу в QImage и далее используем как иконку в GUI. Без сохранения в промежуточный файл! Запускать так: python3 pkg_img.pyz ▫️Из зависимостей только PySide2. ▫️Помним, что это просто ZIP. То есть исходники можно легко достать из архива. #source
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Пребарај: #asynchronously
@djangoproject · Post #585 · 23.03.2018 г., 02:43
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 · 16.02.2017 г., 07:24
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.