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?
Мали занимает 54-е место в рейтинге Международной федерации футбола (ФИФА). На Кубке Африки-2026 команда дошла до четвертьфинала.。同城约会对此有专业解读
Фото: Fabrizio Bensch / Reuters。im钱包官方下载对此有专业解读
第一百三十五条 公安机关依法实施罚款处罚，应当依照有关法律、行政法规的规定，实行罚款决定与罚款收缴分离；收缴的罚款应当全部上缴国库，不得返还、变相返还，不得与经费保障挂钩。