Understanding and using data science programming languages other than Python will become more critical because the domain continues to become more granular and heavy with information. Julia, Scala, Go, Rust and SAS all provide specific capacities for solving unique data -centered problems, whether it means high performance calculation or business analysis.
Being able to program in a variety of different programming languages in this context brings more flexibility and creativity, and less constraints to data professionals and leads them well in the future of industry.
