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Source channel @githubtrending · Post #14698 · May 12

#typescript This repository offers many practical JavaScript/TypeScript examples for learning AI development, requiring Node.js and Bun runtimes. It includes ready-to-run demos like conversation summarization, web search integration, memory management, and API interactions with services like OpenAI, Langfuse, and Qdrant. You can run these examples locally or via Docker for easy setup. The code covers advanced AI topics such as token counting, prompt engineering, vector databases, and audio/video processing. Using Bun, a fast and TypeScript-friendly runtime compatible with Node.js, enhances performance and development speed. This setup helps you quickly experiment with AI features and build your own AI-powered apps efficiently. https://github.com/i-am-alice/3rd-devs

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djangoproject

@djangoproject · Post #336 · 05/09/2017, 05:24 AM

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https://dzone.com/articles/pyflakes-passive-checker There are several code #analysis tools for Python. The most well known is pylint. Then there’s pychecker and now we’re moving on to #pyflakes. The pyflakes project is a part of something known as the Divmod Project. Pyflakes doesn’t actually execute the code it checks, unlike #pychecker. Of course, #pylint also doesn’t execute the code. Regardless, we’ll take a quick look at it and see how pyflakes works and if it’s better than the competition.

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#analysis #pyflakes #pychecker #pylint