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Back in May, writer Jun Wu told in her blog how Perl excels at text manipulation. She often uses it to tidy data sets, a necessity as data is often collected with variations and cleaning it up before use is a necessity. She goes through many one-liners which help make that easy.
Having old reliables is my key to success. Ever since I learned Perl during the dot com bubble, I knew that I was forever beholden to its powers to transform.
You heard me. Freedom is the word here with Perl.
When I'm coding freely at home on my fun data science project, I rely on it to clean up my data.
In the real world, data is often collected with loads of variations. Unless you are using someone's "clean" dataset, you better learn to clean that data real fast.
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Perl Is Still The Goddess For Text Manipulation
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(Score: 2) by The Mighty Buzzard on Friday September 20 2019, @01:35AM (1 child)
Depending on the use case, it can be, sure. If you're trying to serve up thousands of pages a second off that dataset or some such, I'd go with something a little more close to the metal so you can use an optimized function that does only what you need and does it in as few cycles as possible.
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(Score: 0) by Anonymous Coward on Friday September 20 2019, @08:03PM
We're using Vertica (a column-oriented SQL database) for the high performance queries. But for loading the data into Vertica, we use Perl.