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.
"NASA must standardize its approach, increase flight rate safely, and execute on the President’s national space policy. With credible competition from our greatest geopolitical adversary increasing by the day, we need to move faster, eliminate delays, and achieve our objectives," said Isaacman. "Standardizing vehicle configuration, increasing flight rate and progressing through objectives in a logical, phased approach, is how we achieved the near-impossible in 1969 and it is how we will do it again."
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Уточняется, что туроператоры уже потратили более 2,6 миллиарда рублей в период с 28 февраля по 5 марта. В организации сообщили, что туристические агентства ежедневно теряют 500 миллионов рублей на то, чтобы обеспечить соотечественникам размещение, питание и трансферы.
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