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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。搜狗输入法2026对此有专业解读
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接着，刘成拿着证明、与孩子的亲子鉴定，申请在上海青浦区落户。据他回忆，派出所没有直接拒绝，但告知他材料不全，因为出生证上没有刘成的名字。对方告诉他，即使上了户口，孩子跟他也非亲属关系，未来存在法律风险。