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Source channel @githubtrending · Post #15162 · Sep 21

#c_lang You can find detailed guides for Linux kernel developers and users in the Documentation/ folder, with files in formats like HTML and PDF. To build these documents yourself, use commands like `make htmldocs` or `make pdfdocs`. The documentation covers important topics such as kernel building, running requirements, and upgrade issues. Reading these helps you understand how to work with the Linux kernel safely and effectively, avoiding common problems when upgrading or modifying it. This makes managing and developing the kernel easier and more reliable for you. https://github.com/torvalds/linux

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djangoproject

@djangoproject · Post #439 · 09/13/2017, 03:57 AM

Evented Django part one: Socket.IO and gevent #Socket.IO was developed with a #Node.JS server implementation, but work is being done to add server implementations to a variety of languages. Two such servers exist for Python, tornadio and #gevent-socketio. I'm a big fan of gevent, so I will use gevent-socketio, but tornadio looks well-written and very promising. http://codysoyland.com/2011/feb/6/evented-django-part-one-socketio-and-gevent/

djangoproject

@djangoproject · Post #170 · 09/22/2016, 02:27 PM

https://pypi.python.org/pypi/uvloop #uvloop is a fast, drop-in replacement of the built-in #asyncio event loop. uvloop is released under the MIT license. uvloop and asyncio, combined with the power of async/await in Python 3.5, makes it easier than ever to write high-performance #networking code in Python. uvloop makes asyncio fast. In fact, it is at least 2x faster than #nodejs, #gevent, as well as any other Python #asynchronous framework. The performance of uvloop-based asyncio is close to that of Go programs.

djangoproject

@djangoproject · Post #270 · 02/26/2017, 08:08 AM

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).