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Source channel @githubtrending · Post #15482 · Feb 10

#python#ai#claude#gemini#llama#llm#openai You can access powerful AI language models for free or with trial credits through multiple legitimate platforms. Services like OpenRouter, Google AI Studio, Groq, and Mistral offer free tiers with varying request limits, while others like Fireworks, Baseten, and Inference.net provide trial credits ranging from $1 to $30. These platforms support diverse models including Llama, Gemma, Qwen, and DeepSeek, enabling you to build and test AI applications without upfront costs. The benefit is clear: you can prototype, develop, and deploy AI-powered features while managing your budget effectively, with options to scale up as your needs grow. https://github.com/cheahjs/free-llm-api-resources

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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).