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.
Auditing. 1Password and Keychain both maintain access logs. You can see who accessed which secrets and when. A .env file gives you none of that.
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从接近蜜雪人士处获悉，蜜雪冰城全国首家“雪王室内乐园”项目位于河南郑州集团总部，目前各项工作正稳步推进中。据介绍，乐园以雪王IP为核心，打造充满甜蜜与奇幻的雪王世界。规划多个室内主题体验区，深度融合蜜雪冰城全球总部、全球旗舰店与主题乐园三大场景，打造“游玩+购物+体验”三位一体的体验体系。（大河财立方）
void countingSortSimple(int arr[], int n, int max) {