As a data scientist, I’ve been frustrated that there haven’t been any impactful new Python data science tools released in the past few years other than polars. Unsurprisingly, research into AI and LLMs has subsumed traditional DS research, where developments such as text embeddings have had extremely valuable gains for typical data science natural language processing tasks. The traditional machine learning algorithms are still valuable, but no one has invented Gradient Boosted Decision Trees 2: Electric Boogaloo. Additionally, as a data scientist in San Francisco I am legally required to use a MacBook, but there haven’t been data science utilities that actually use the GPU in an Apple Silicon MacBook as they don’t support its Metal API; data science tooling is exclusively in CUDA for NVIDIA GPUs. What if agents could now port these algorithms to a) run on Rust with Python bindings for its speed benefits and b) run on GPUs without complex dependencies?
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2009年，香港特别行政区政府推出长者医疗券计划，旨在资助年满65岁的长者选用更符合自身需要的医疗服务。2015年10月5日，港大深圳医院成为内地首家可使用香港长者医疗券的试点医疗机构。
fact making CICS a very notable early real-time computing system), it was also a
1A full list of these materials can be found at (psfa0134, pg. 9).