February 8, 2022
Python alongside R
While working on my PhD thesis I’m usually facing the situation when I need to use both R and Python programming languages.
R offers me the possibility to render neat scientific supports with rmarkdown package, which bring .Rmd support.
Obviously, Python has similar format (pymarkdown and the .Pmd) available, it is not as well developed as the R counterpart.
Moreover, I’m far more familiar with R statistical libraries, tidyverse suite and coding practices.
However, at the same time I need Python dependencies: the most developed neural network (NN) libraries are written in Python or have their main interface in Python.
For example, the well known TensorFlow has a Python based backend.