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The Python/PyData ecosystem is growing quickly but it still has some important gaps in relation to what one can find in R. I believe some examples are survival analysis and to some extent grammars of graphics (although this gap is being filled quickly with Vincent, Bokeh and ggplot) What are the specific areas where the PyData ecosystem is still lagging in relation to R's? What are for example some features or packages that a statistician / data scientist would like to see in the PyData system that are present in R's? |
