5 ms·
I used it recently for the following: - writing some un-avoidably inefficient SQL which required transforming 10 columns with _1-10 numerical suffix into one c
by scottmcdot 3y ago
I used it recently for the following:
- writing some un-avoidably inefficient SQL which required transforming 10 columns with _1-10 numerical suffix into one column
- creating some geo dummy data. I had a set of 10 pairs of lat-lon coords that I needed shifted 50 meters north-west. ChatGPT did it using an approximation method and worked well.
- creating a custom Python logger