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You can try it in the form of a jupyter notebook. I'd much prefer just to use it like a regular language.

I think their strategy makes quite a bit of sense. Superficially Python like, can use Python libraries, fast and safe like Rust, automatically determines where algorithms should run (to some extent).

One thing that comes to mind however, is library performance. I'm assuming it will be ~3X faster than Python (like basic Python code) but if you are coming from Rust or C, this could be an issue.




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