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Yes, SQL does have the problem of bad composeability and some things being less explicit than they are when working with dataframes. Dplyr is probably the most
by beforeolives 5y ago
Yes, SQL does have the problem of bad composeability and some things being less explicit than they are when working with dataframes. Dplyr is probably the most sane API out of all of them.
- alexilliamson 5y ago+1 for dplyr. I've used both pandas and dplyr daily for a couple years at different times in my career, and there is no comparison in mind when it comes to usability/verbosity/number of times I need to look at the documentation.
- RA_Fisher 5y agoI agree, the degree of expressiveness that dplyr achieves is impressive. The library has had a great impact on my work. The syntax is easy to remember so you don't have to constantly look up minor variations in usage. Also, the pipelining aspect makes it dead-simple to debug. It's especially powerful when combined with the purrr library: https://purrr.tidyverse.org/ https://purrr.tidyverse.org/