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?
Трамп сделал резонансное заявление после разговора с ПутинымТрамп после разговора с Путиным: Я хотел бы, чтобы эта война уже закончилась
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本轮融资后的估值，使OpenAI基金会所持OpenAI集团股份价值增至1800亿美元以上。。Line官方版本下载对此有专业解读
How we fall for 'The One'
Which MacBook should you buy?As of February 2026, I think the 15-inch M4 MacBook Air is the best choice for most people. It offers quiet, Pro-level power in a more portable design and at a more reasonable price point. Better yet, it's frequently on sale for under $1,000 at Amazon and Best Buy.