Hi, (I wrote the article). A few people commented noting that I included "Data Science" in the title, but the content doesn't include any statistics or machine learning which is closer to the core definition of 'data science'. I still think the title is appropriate since any kind of low-fidelity data science task you do on some had-hoc data (log files, heaps of text, web pages) is going to start with setting up a processing pipeline that involves these commands. I could have re-named it "An intro to text processing" or "An intro to data processing", but then the people who need to see this content won't associate the title with something they're interested in, so they never benefit from it. The list of commands was chosen specifically with the question "What Linux commands would someone answering data science/business intelligence questions use?" in mind. These commands are also among the list of ones that are usually already installed on every system.