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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我选择「面向需要在团队内推广 Claude Code 的负责人」生成 PPT，最后生成质量也很不错，内容详尽、元素丰富、排版多样，但是最终导出的 PPT 排版有少量混乱，需要手动微调。。业内人士推荐91视频作为进阶阅读
Web form only. No confirmation, no timeline, no transparency. The flag eventually cleared.，更多细节参见im钱包官方下载
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