3 ms·

This is an amazing suggestion. I hadn't thought of using shell scripts to modularize cross-language. Thank you.

• chubot 13y ago
  There have been some posts on Hacker News describing this philosophy (see below, can't find the HN comment links unfortunately). Another advantage is that it encourages separating your policy from mechanism. For example, you can make your sampling rate or number of buckets a command line flag, and have all your parameters in the shell scripts, rather than having various constants strewn about the code. And obviously you can use each language where it's stronger. Python is better (and much faster) for the data cleaning part, whereas you might want to use ggplot in R. http://jeroenjanssens.com/2013/09/19/seven-command-line-tools-for-data-science.html http://jeroenjanssens.com/2013/09/19/seven-command-line-tool... http://www.drbunsen.org/explorations-in-unix/ http://www.drbunsen.org/explorations-in-unix/ http://strata.oreilly.com/2011/04/data-hand-tools.html http://strata.oreilly.com/2011/04/data-hand-tools.html