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?
He says the results could change predicted extinction dates for Emperor penguins.
世界首个「隐私屏」，用技术防偷看，这一点在Line官方版本下载中也有详细论述
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如果说软件公司还能争取到一段缓冲期，打工人面对的压力则是实实在在的。，推荐阅读heLLoword翻译官方下载获取更多信息
* 核心逻辑：能看到的人数 = 弹出的矮个子数量（count） + （栈顶有更高的人则+1，否则+0）