Стандартная библиотека asyncio это стандарт (начиная с Py3.4) для работы с асинхронным кодом. Но эта библиотека достаточно низкоуровневая, со своими проблемами, устаревшими подходами.
Чтобы исправить это, были созданы разные обертки и альтернативы с реализацией популярных инструментов и паттернов асинхронного программирования. Это такие библиотеки как:
- trio: улучшает корректность выполнения, не оставляя потерянных корутин при ошибках, то есть предлагает Structured Concurrency из коробки.
- curio: упрощение синтаксиса и читаемости кода, больше похоже на работу с потоками.
- anyio: универсальная обертка над asyncio или trio плюс множество вспомогательных инструментов.
anyio используется в FastAPI как основная библиотека для работы с асинхронным кодом и вызовом синхронного кода из асинхронного.
В общем, рекомендую почитать про возможности anyio, возможно вы более не будете использовать чистый asyncio в своих проектах)
Это совсем не значит что дефолтный asyncio плох, он тоже даёт достаточный для работы функционал и продолжает развиваться. Например, в версии 3.11 появились TaskGroup, с похожим на trio функционалом. Так что он тоже актуален, просто придется больше написать кода самостоятельно.
#libs#async
🚨Just a reminder: On November 17, 2025, in RedNile Episode 62, I predicted the U.S. regime change play in Venezuela.
The U.S. operation we're seeing now—including the shocking January 3rd move against Maduro—was foreshadowed in this analysis I published a month ago.
🎞This video breaks down the entire blueprint:
🔹 The historical imperial script from Monroe to Trump
🔹 How the "War on Drugs" is used as cover
🔹 The sanctions, coups, and media narratives targeting Venezuela
🔹 The real geopolitical goal: stopping Latin America's shift toward multipolarity
Everything you need to understand the why, who, and what behind today's events is explained here.
📺 Watch the full analysis from November 2025: https://youtu.be/Lt_gFn8Dxj8?si=VTMvyRfVfR77OYp_
---
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Will Manchester City win the Premier League 2025/26 title
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This talk gives a quick overview of Python's capabilities as a #data_processing and #machine_learning tool through practical examples: gathering data from the web or a local file, validating/modifying it and finally analyzing it to build models for #classification and #prediction#tasks.
Bitcoin Predicted to Reach $200K Soon
Standard Chartered's Geoff Kendrick forecasts Bitcoin will hit $200K this year and could reach $500K before Trump exits the presidency. Predictions reflect growing confidence in BTC's potential growth trajectory.
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AI Predictions: From Vacuums to Real Impact
AI-powered prediction platforms are gaining traction, with a focus on forecasting reactions based on content and audience. Initial predictions using tools like ChatGPT yield 17% accuracy, but considering audience interactions can boost accuracy to 83%. This innovative approach helped a startup refine its pitch to enter Y Combinator. Discover more insights on enhancing prediction accuracy in various fields here.
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Recent funding rounds:
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