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В конце января председатель Совета федерации Валентина Матвиенко призвала сделать что-то с «Почтой России», иначе на фоне маленьких зарплат сотрудники «скоро все там разбегутся».
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2009年，中国石油天然气股份有限公司牵头联合体通过国际招标取得哈法亚油田开发权。项目启动之初，这里的荒原上散落着的8口油井，原油日产量不足1万桶。经过系统性规划与持续建设，如今哈法亚油田的日产量已跃升至40万桶以上，成为伊拉克南部重要的石油产能支柱之一。
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.