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The use case is to quickly handle ad hoc scenarios. If you need to quickly extract something from a csv, you could break out python, or import it into a databa
by nostoc 7y ago
The use case is to quickly handle ad hoc scenarios.
If you need to quickly extract something from a csv, you could break out python, or import it into a database, but using cut and grep (or csv-tools) will take 5 seconds.
The point is if you need to do a specific task many times, do it in a programming language. But if you have an ad hoc task, you're saving a lot of time by being proficient in the shell.
- overgard 7y agoAd hoc tasks quickly become regular tasks though. If your "database" is csv files you're better off figuring out a better way to structure it. The way things are moving with containers, the idea you're even going to have these utilities on the server, and the idea that the server is writing this stuff to a file system- that's totally changing. So is this useful for local stuff? Maybe, but is Excel probably more useful there?