I was looking at code.golf the other day and I wondered which languages were the least verbose, so I did a little data gathering.

I looked at 48 different languages that had completed 79 different code challenges on code.golf. I then gathered the results for each language and challenge. If a “golfer” had more than 1 submission to a challenge, I grabbed the most recent one. I then dropped the top 5% and bottom 5% to hopefully mitigate most outliers. Then came up with an average for each language, for each challenge. I then averaged the results across each language and that is what you see here.

For another perspective, I ranked each challenge then got the average ranking across all challenges. Below is the results of that.

Disclaimer: This is in no way scientific. It’s just for fun. If you know of a better way to sort these results please let me know.

  • lightsecond
    link
    fedilink
    English
    arrow-up
    1
    ·
    1 year ago

    That’s true, and you can also combine multiple errors to have a single catch block or handle each error separately. The perfect dataset for this comparison will need to be written. Code golf data is good enough for a non-academic fun analysis like this one.