@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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Изворен канал @pythonotes · Post #104 · 19 јун.
Ещё немного про base64. Собрал пример со встроенной в код картинкой. Это иконка для окна на PySide2. Файл кодирован в base64 и просто сохранён в переменной. Для использования этих данных даже не пришлось сохранять их в новый файл. Иконка создаётся на лету с помощью метода QPixmap.loadFromData() ... raw_data = base64.decodebytes(ico_encoded) ico = QPixmap() ico.loadFromData(raw_data, "PNG") ... 🌎 Полный пример смотрите в gists. #libs#tricks#qt
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.