In the R language, optimization can be achieved by using purrr::map() or furrr::future_map() functions. However, I am not sure how does optimization works for np.array() methods. Indeed, I would like to understand how does Python and R scales out to parallel processing [1, 2] in terms of complexity and performance.

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