What attracts me to Python for my analysis work is the "full-stack" of tools that are available by virtue of being designed as a general purpose language vs. R as a domain specific language. The actual data analysis is only part of the story, and Python has rich tools and a clean full-featured language to get from the beginning to the end in a single language (use of C/Fortran wrappers notwithstanding).
On the front end, my work commonly starts with getting data from a variety of sources, including databases, files in various formats, or web scraping. Python support for this is good and most database or common data formats have a solid, well-maintained library available for the interface. R seems to share a general richness for data I/O, though for FITS the R package appears not to be under active development (no release of FITSio in 2.5 years?). A lot of the next stage of work typically occurs in the stage of organizing the data and doing pipeline-based processing with a lot of system-level interactions.
On the back end, you need to be able present large data sets in a tangible way, and for me, this commonly means generating web pages. For two projects I wrote significant Django web apps for inspecting the results of large Chandra survey projects. This included a lot of scraping (multiwavelength catalogs) and so forth. These were just used internally for navigating the data set and helping in source catalog generation, but they were invaluable in the overall project.
Moving to the astronomy-specific functionality for analysis, it seems clear that the community is solidly behind Python. This is seen in the depth of available packages and level of development activity, both at an individual and institutional level (http://www.astropython.org/resources). Given this level of infrastructure that is available and in work, I think it makes sense to direct effort to port the most useful R statistical tools for astronomy to Python. This would complement the current capability to call R functions from Python via rpy2.If you are interested, I strongly recommend that you read this article, here it is a question of comparing programming languages https://diceus.com/what-technology-is-b ... nd-java-r/ I hope it helps.Good Luck