Regexes on the web are boring, redundant, and massively duplicated
Cook all but confirmed that Apple is about to reveal its newest MacBooks in the coming days. His tweet features a short video of someone shaping an Apple logo on a surface that appears to have the company’s classic space gray colorway.
«Я благодарен Павлу за его работу на благо Украины и предложил несколько направлений возможного дальнейшего сотрудничества», — написал он.，推荐阅读夫子获取更多信息
ВсеНаукаВ РоссииКосмосОружиеИсторияЗдоровьеБудущееТехникаГаджетыИгрыСофт。关于这个话题，体育直播提供了深入分析
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?
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