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What were some things you learned in the module? I have never used grep before so this entire exercise was a learning opportunity for me. Being able to use the pipe operator to quickly generate a file with the results was a neat trick I've seen but never used either. I think this is a quick and effective way to search documents for text.
What do you think were the most important concepts? The grep command and pipe operator are the most important concepts in this exercise. This was a really streamlined way to search a body of text and save results to a file. I can see this being a needed skill when using Linux for any data scientist.
What was challenging for you? How can you learn it better? I did not find any particular part of this exercise challenging. I just needed to get familiar with the syntax and command options (i.e., -i
, and -w
) for the grep command. I did find it questionable if my answer for just "raven" being 0 results is correct. The was an instance of the word "craven" which contains "raven", but for this case, I used exact matches only.
Which parts did you enjoy? This was a fun exercise. Python has been my go-to for performing simple searches in files, but this was so much faster. I will definitely use this on the job!
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