But that’s unironically a good idea so I decided to try and do it anyways. With the use of agents, I am now developing rustlearn (extreme placeholder name), a Rust crate that implements not only the fast implementations of the standard machine learning algorithms such as logistic regression and k-means clustering, but also includes the fast implementations of the algorithms above: the same three step pipeline I describe above still works even with the more simple algorithms to beat scikit-learn’s implementations. This crate can therefore receive Python bindings and even expand to the Web/JavaScript and beyond. This also gives me the oppertunity to add quality-of-life features to resolve grievances I’ve had to work around as a data scientist, such as model serialization and native integration with pandas/polars DataFrames. I hope this use case is considered to be more practical and complex than making a ball physics terminal app.
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Claude Code 将自动分析需求，调用 frontend-design 技能库中的设计模式，生成结构化的代码。
惠普 CFO Karen Parkhill 指出，在存储与内存成本上升的背景下，公司仍维持全年非 GAAP 每股收益 2.90-3.20 美元的指引不变，但预计全年表现将更接近区间下限。。关于这个话题，51吃瓜提供了深入分析