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
Ready for the answers? This is your last chance to turn back and solve today's puzzle before we reveal the solutions.
越是风口，越要算账。越是创富叙事，越要冷静。在热闹之外，看清逻辑，才是对未来最基本的尊重。，详情可参考旺商聊官方下载
; fall through to #GP(0) if CPL IOPL
В общем счете, если учитывать федеральных и региональных чиновников, министров и депутатов, общее число задержанных по коррупционным статьям с начала года превышает сотню.，推荐阅读91视频获取更多信息