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?
important to use the tool as an aid, not a replacement for the developer's
。业内人士推荐服务器推荐作为进阶阅读
There are critics of Kennedy’s gentle-parenting-adjacent advice, but still others have taken issue with the business she’s built around it. Kennedy is often lumped in with parenting influencers who, critics say, breed anxiety among parents (mostly moms) by selling the concept of there being a “right” way of parenting and then charging for it. The proliferation and easy availability of parenting resources generally, from digital resources to AI chatbots, can cause today’s parents additional stress by inviting them to check and double-check things they might otherwise do without a second thought, says Charlotte Faircloth, professor of family and society at the University College London Social Research Institute.
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示例：nums = [2,1,2,4,3] → res = [4,2,4,-1,-1]。