Data science is a wide field that involves data cleaning and visualization, developments, assessment, and interpretation. The languages you choose to analyze your data could possibly impact the productivity of your projects due to the libraries available, and it may influence how easily you can transition between research, engineering, and production. Thus, it is not about which language is “best” across all domains, but rather, which one should call upon that best supports you, your team, and your specific project.