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DumPy: NumPy except it's OK if you're dum
reject clever
You need to think about broadcasting between A and B, orthogonal vs. pointwise indices, slices behaving differently than arrays, and quirks for where the output dimensions go. When you actually learn these languages, what you figure out is that the symbol gibberish basically amounts to doing the same kind of dimension mashing that we saw earlier in NumPy: I think Julia might well be a better host language than Python, but it wouldn’t be because of fast loops, but because it offers much more powerful meta-programming capabilities.
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