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?
It was Christmas Eve 1968.
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“靠山吃山唱山歌，靠海吃海念海经”。“十四五”时期，全国832个脱贫县均培育形成了2至3个优势突出、带动能力强的主导产业，总产值超过1.7万亿元。
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7 AI coding techniques that quietly make you elite，更多细节参见旺商聊官方下载
Credit: Liam Daniel / Netflix