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Изходен канал @clockstackwheels · Post #497 · 8.08

Пишут, что аудитория Инсты и Фейсбука в России после блокировок упала в несколько раз. ВК чуть-чуть подрос (меньше, чем заявляют), а Телеграм вырос внушительно. Ну то есть да, как и я говорил, все вот эти "Буду постить в Инсте под ВПН для тех, кто заходит туда смотреть под ВПН" это такая иллюзия на самом деле. Людям очевидно неудобно держать вечно включённый ВПН, не говоря уже о том, что мало кто из широких масс готов за него платить, а бесплатный это куча мороки и нестабильная работа. Уверен, падение продолжится. Широкие массы ушли, активность упала. Тем, кто готов ради Инсты постоянно включать ВПН, там тоже станет скучнее. #web

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djangoproject

@djangoproject · Post #95 · 11.07.2016 г., 12:14

https://docs.python.org/3/library/asyncio-dev.html#asyncio-multithreading 18.5.9.3. #Concurrency and #multithreading An event loop runs in a thread and executes all callbacks and tasks in the same thread. While a task is running in the event loop, no other task is running in the same thread. But when the task uses yield from, the task is suspended and the event loop executes the next task. To schedule a callback from a different thread, the BaseEventLoop.call_soon_threadsafe() method should be used. Example: loop.call_soon_threadsafe(callback, *args) Most asyncio objects are not thread safe. You should only worry if you access objects outside the event loop. For example, to cancel a future, don’t call directly its Future.cancel() method, but: loop.call_soon_threadsafe(fut.cancel) To handle signals and to execute subprocesses, the event loop must be run in the main thread. To schedule a coroutine object from a different thread, the run_coroutine_threadsafe() function should be used. It returns a concurrent.futures.Future to access the result: future = asyncio.run_coroutine_threadsafe(coro_func(), loop) result = future.result(timeout) # Wait for the result with a timeout The BaseEventLoop.run_in_executor() method can be used with a thread pool executor to execute a callback in different thread to not block the thread of the event loop. See also The Synchronization primitives section describes ways to synchronize tasks. The Subprocess and threads section lists asyncio limitations to run subprocesses from different threads.

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@githubtrending · Post #14740 · 23.05.2025 г., 12:30

#python#async#asyncio#cross_platform#downloader#gui#multithreading#pyqt#pyside6#python#qt#software#streaming Ghost Downloader 3 is a fast, AI-powered download manager that works on Windows, Linux, and macOS. It speeds up downloads by splitting files into many parts and using multiple threads, dynamically adjusting to use your full bandwidth. It supports resuming downloads, proxy settings, SSL security, and clipboard monitoring for easy link capture. The interface is modern and user-friendly. This tool helps you download files more quickly and efficiently, with options to control speed and use proxies, making it ideal if you want faster, smarter, and more reliable downloads on your computer[1]. https://github.com/XiaoYouChR/Ghost-Downloader-3