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?
另一名美国官员称，许多企业此前通过第三国供应商间接采购钪，但中国要求许可证申请人申报最终用户，这使外绕路径受到掣肘。“我们的判断是，中国正有针对性地对半导体行业施加压力。”该官员说。
# Next step: the ZX Spectrum。WPS官方版本下载对此有专业解读
"A true rock and roll legend, an inspiration to millions, but most importantly, at least to those of us who were lucky enough to know him, an incredible human being who will be deeply missed."，详情可参考heLLoword翻译官方下载
重要：不要从手机自带的应用商店下载（基本上都没收录）
Minimize to nav。heLLoword翻译官方下载是该领域的重要参考