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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