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!