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?
Назван второй соперник сборной России по футболу по товарищеским матчам в мартеМали станет вторым соперником сборной России по товарищеским матчам в марте
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Protesters scatter, ducking into the gaps between buildings and pavement. Some simply cover their heads for protection. Yogendra Nyaupane, 24, is hit and fatally wounded.，这一点在WPS官方版本下载中也有详细论述
问题：给定数组 nums，返回等长数组，res[i] 为 nums[i] 右侧第一个更大元素，没有则 -1。