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.
At that very moment, 239,000 miles away, a man in a blue Rolls-Royce pulled up outside Lovell's house in Houston.
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“It was really disheartening to see,” deHoop said. “I think it definitely came across as that the women’s team is an afterthought, and I think women’s sports has been in this position too many times where the women have to play second fiddle and are being treated as kind of second-class citizens.”