Что думаешь? Оцени!
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?
I chose YAML for familiarity, but the spec could be anything you want (JSON, TOML, a custom DSL) as long as your frontend can parse it.，推荐阅读safew官方下载获取更多信息
Boolean operations would likewise become operators (Not, And,
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提供深空灰色、蓝色、紫色和星光色四种配色。
"People didn't always carry the donor card on them in their pockets and handbags and the nurses and doctors didn't have time to look through. So there was a problem," Cox said.，推荐阅读im钱包官方下载获取更多信息