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Source channel @cryptosamuraicat · Post #708 · Feb 17

☄️TIME TON - TIME CITY! 🏙️ TimeCity opens its doors! 📆 On February 19, a new digital era begins. The TimeTON community will gain access to the metaverse for the first time, where each object is your future digital asset that generates income and resources. 🗣️ A collection of 5,728 NFTs is the basis of a virtual city that will grow, develop and form a full-fledged digital ecosystem. 🏘 Residential complexes are being built here, where the first residents will settle, business centers and manufacturing enterprises are opening, which will become the heart of the economy. Trading platforms and entertainment areas appear, creating the rhythm of city life. Digital advertising screens light up on the streets, where location owners receive a share of the global advertising market. 👨🏻‍💻 Every user of our community will have access to the first version of the metaverse to watch the construction of the city in real time, explore the first districts and become part of a closed community of NFT owners, where the most valuable opportunities are revealed. 💥 There is very little left… 🔖If you decide to buy NFT - be careful, think twice, you don’t know how it will turn out.#dyor ➡️START GAME 🐱🐱🐱🐱🐱🐱🐱🐱 👉🏻SUBSCRIBE!

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djangoproject

@djangoproject · Post #95 · 07/11/2016, 12:14 PM

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 · 05/23/2025, 12:30 PM

#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