By some benchmarks, Julia code can run 10X to 1,000X faster than Python—but there’s a reason it’s not a very popular ...
If the numpy -library is found then global variables which are fields are being transformed to numpy -arrays. These arrays can be accessed with the usual numpy -array access like a[i,j] or a[i,:].
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