sudo recast@sudo_recast · Post #918 · 17.04.2025 г., 09:47
A useful command when you encounter conflicts while cherry-picking:
tig HEAD $(git rev-parse CHERRY_PICK_HEAD 2>/dev/null) -- $(git diff --name-only --diff-filter=U | head -1)
#tricks@sudo_recast
https://www.python.org/dev/peps/pep-0492/
#Coroutines with #async and #await syntax
https://bit.ly/coroutines
At Open Source Bridge and #PyGotham in 2015, and at SCALE14x, I demonstrated that you can code a Python 3 #async framework in under an hour. I start the demo by writing a callback-based async framework, built on non-blocking sockets and a simple event loop. Then I adapt the framework to use generator-based #coroutines, which are cleaner than callbacks but still more efficient than threads for async I/O.
每日 AWESOME 观察@awesomeopensource · Post #151 · 01.08.2018 г., 16:12
laravel-s
又一个 Laravel 使用 swoole 扩展提高性能的项目
特性
高性能的Swoole
内置Http/WebSocket服务器
常驻内存
异步的事件监听
异步的任务队列
平滑Reload
代码修改后自动Reload
同时支持Laravel与Lumen,兼容主流版本
简单,开箱即用
Tags: #swoole#laravel#lumen#async
Languages:#php
感谢 @iVanilla 的投稿
GitHub Trends@githubtrending · Post #15366 · 25.12.2025 г., 12:30
#rust#async#framework#http_server#rust#salvo#web
Salvo is a simple yet powerful Rust web framework that gives you fast, modern servers (HTTP/1–3, WebSocket/WebTransport) with minimal Rust knowledge required, built on Hyper and Tokio. It uses a unified handler/middleware model, an infinitely nestable, chainable router for clear public/private route grouping, built-in multipart/file upload and data extraction, automatic OpenAPI generation, ACME TLS support, and a CLI to scaffold projects—so you can prototype and deploy secure, high-performance backends quickly with less boilerplate and easier routing, testing, and API documentation.
https://github.com/salvo-rs/salvo
https://vorpus.org/blog/some-thoughts-on-asynchronous-api-design-in-a-post-asyncawait-world/#websocket-servers
I've recently been exploring the exciting new world of #asynchronous I/O libraries in Python 3 – specifically asyncio and curio. These two libraries make some different design choices.
Example 1: #asyncio, with callbacks
Example 2: #curio, with #async/#await
Example 3: asyncio, with async/await
#websockets
https://www.obeythetestinggoat.com/testing-async-asyncio-and-performance.html
#Testing, #async, #asyncio, and #performance
Sun 27 December 2015 By Harry
I recently did some experimenting with asyncio, and wanted to report back on how I got on with writing tests for it. While I was at it I was also able to compare its performance with a couple of other approaches to #mutlitasking in Python, namely #threads and #gevent, so I'll report on that here too. (tl;dr: it's much of a muchness).
GitHub Trends@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
GitHub Trends@githubtrending · Post #14761 · 29.05.2025 г., 13:00
#python#api#async#asyncio#fastapi#framework#json#json_schema#openapi#openapi3#pydantic#python#python_types#python3#redoc#rest#starlette#swagger#swagger_ui#uvicorn#web
FastAPI is a modern Python web framework for building fast, reliable APIs that is easy to learn and quick to code, making it ready for production use right away. It uses standard Python type hints, which means you get automatic data validation, fewer bugs, and great editor support with code completion and type checks. FastAPI also generates interactive documentation automatically, so you and your team can understand and test your API easily. The main benefit is that you can develop robust, high-performance APIs much faster and with less effort, while reducing errors and making your code easier to maintain[1][2][3].
https://github.com/fastapi/fastapi