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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?
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Germany's Federal Office for Information Security (Bundesamt für Sicherheit in der Informationstechnik, or BSI) tested the devices. BSI first approved the iPhone and iPad for governmental use by German authorities in 2022. To take the additional step of NATO approval, Apple says BSI conducted exhaustive technical assessments, comprehensive testing and deep security analysis.
，更多细节参见safew官方版本下载
（四）被依法执行管制、剥夺政治权利或者在缓刑、暂予监外执行中的罪犯或者被依法采取刑事强制措施的人，有违反法律、行政法规或者国务院有关部门的监督管理规定的行为的。，详情可参考搜狗输入法2026
Мерц резко сменил риторику во время встречи в Китае09:25