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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?
北京市委党的建设工作领导小组召开会议，要求认真学习领会习近平总书记关于树立和践行正确政绩观的重要论述，从坚定拥护“两个确立”、坚决做到“两个维护”的高度，把思想和行动统一到党中央决策部署上来；以处级以上领导班子和领导干部特别是“一把手”为重点，不分批次、不划阶段，坚持首善标准开展好学习教育。