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
。下载安装 谷歌浏览器 开启极速安全的 上网之旅。对此有专业解读
If you want to watch West Indies vs. South Africa in the ICC T20 World Cup 2026 for free from anywhere in the world, we have all the information you need.
// Async — when source or transforms may be asynchronous