Tips for R to Python and Vice-Versa seamlessly

March 31, 2019

(This article was first published on Coastal Econometrician Views, and kindly contributed to R-bloggers)

When we TATVA AI visit our clients, often both data scientists and higher management ask us, how we deal with both  Python and R simultaneously for client requests; as there is no universal preference among clients.

Though solution is not straight forward, however, I suggest to exploit common libraries for quick deployments, such as, dfply (python) and dplyr (R). Below is a quick example:

## R Code
testdata %>% filter(col.1==10)

## Python Code
from dfply import *
testdata >> filter_by(X.col.1==10)

Those who have not yet experience this can try out now and let me know your experiences at either [email protected] or [email protected]

Happy R and Python Programming!

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