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.
Филолог заявил о массовой отмене обращения на «вы» с большой буквы09:36
。关于这个话题，同城约会提供了深入分析
古胥河畔，南京高淳“东坝大马灯”的表演好不热闹。7个娃娃身骑“竹马”，扮上花脸，衣着戏袍：绿衣是关羽，黑脸的是张飞，骑白马的是赵云……7匹“竹马”之下，各有两名成年人默契配合，前一人戴道具扮马头，后一人屈身披锦作马身，演绎战马的静立和奔腾。令旗所指，摆出三角阵、四角阵、梅花阵……
// 1. 小数据量 (<50): 插入排序最简单高效