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Source channel @githubtrending · Post #14670 · May 4

#c_lang Klipper is a special software for 3D printers that uses a computer to help the printer work better. It makes prints faster and more precise by controlling the printer's movements very accurately. This means you get better quality prints with less vibration and fewer mistakes. Klipper also helps reduce issues like nozzle oozing, which can ruin prints. It's free and easy to set up, making it a great choice for anyone looking to improve their 3D printing experience. https://github.com/Klipper3d/klipper

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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).