Data scientists love to create exciting data visualizations and insightful models. However, before they get to that point, usually much effort goes into obtaining, scrubbing, and exploring the required data. In this presentation, Jeroen Janssens from YPlan,gives insight into the *nix command line. Although it was invented decades ago, it remains a powerful environment for many data science tasks. It provides a read-eval-print loop (REPL) that is often much more convenient for exploratory data analysis than the edit-compile-run-debug cycle associated with scripts or even programs. Even if you're already comfortable processing data with, for example, R or Python, being able to also leverage the power of the command line can make any data scientist more efficient.