// 作用:缓存当前位置右侧的"参考身高",快速判断能看到的人
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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With a few exceptions, most ergonomic keyboards will work with PCs or Macs as a standard typing input, but the use of function and hot keys may require some remapping. It can be as easy as an onboard switch to toggle between Mac and PC layouts, or as involved as downloading software to change up the keys. Some boards even include (or let you buy) extra keycaps to change, say, the Mac’s Command and Option keys to PC’s Start and Alt buttons. Those are what's called hot-swappable keys, meaning you just pull the old key off (usually with a provided key puller) and stick the new one on, no soldering required.
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