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Source channel @githubtrending · Post #14661 · May 2

#typescript#ai#analytics#datasets#dspy#evaluation#gpt#llm#llmops#low_code#observability#openai#prompt_engineering LangWatch helps you monitor, test, and improve AI applications by tracking performance, comparing different setups, and optimizing prompts automatically. It works with any AI tool or framework, keeps your data secure, and lets you collaborate with experts to fix issues quickly, making your AI more reliable and efficient. https://github.com/langwatch/langwatch

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djangoproject

@djangoproject · Post #261 · 02/16/2017, 06:56 AM

http://www.giantflyingsaucer.com/blog/?p=5557 In spring 2014 Python 3.4 shipped a provisional package (#asyncio) which according to the docs “provides infrastructure for writing single-threaded #concurrent code using #coroutines, #multiplexing I/O access over #sockets and other resources, running network clients and servers, and other related primitives“. I can’t possibly cover everything in this article but I can introduce some of the things you can do with it. As per my New’s Years resolution I’ll be building these #examples using Python 3.4.2 (Asyncio has been ported back to Python 3.3 now as well).