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www.pipinghotdata.com | ||
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blog.djnavarro.net
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| | | | | In a multi-language polyglot data science world, it becomes important that we are able to pass large data sets efficiently from one language to another without making unnecessary copies of the data. This post is the story of how I learned to love using reticulate to pass data between R and Python, especially when used together with Apache Arrow which prevents wasteful copying when the handover takes place | |
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zevross.com
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| | | Over the last year I have changed my data processing and manipulation workflow in R dramatically. Thanks to some great new packages like dplyr, tidyr and magrittr (as well as the less-new ggplot2) ... | ||
