From a statistics perspective R is the language to learn. Python is good for data engineering or pipelining, etc - but R is the best for analysis: - Rstudio i

From a statistics perspective R is the language to learn. Python is good for data engineering or pipelining, etc - but R is the best for analysis: - Rstudio is a much more friendly interface than IPython/Jupyter notebooks - Python's visualization libraries can't come close to ggplot2 - Python lacks an effective grammar of data manipulation better similar to dplyr or magrittr. I think HN is more engineering focused, hence increased exposure to Python. At the places I've worked/interviewed for data science, 1 was full Python (though they have a high eng bar for data scientists, and very few data engineers), and the rest had a reasonable split of R and Python. Your SO will be fine either way but might find R more intuitive and better suited to statistics work.