Good point, also there are a lot of similarities between Excel and Pandas as well.
I think this also is a fundamental distinction between normal SWEs and People who use Excel as well as Data Engineers.
You always start with data, and you have no control over it. So this means:
1. you need state base programming env (excel, Jupyter)
2. you need to look at it to see whats there (plots)
I guess HN is mostly comprised of SWEs who built the DBs and Websites that create the data that then gets consumed by the Data Engs and the Excel people :D
Agreed about the similarities between Excel and Pandas. I started out as more of an data analyst and am now a SWE and I think one of the things that SWEs who dismiss Excel and Jupyter don't understand is how little you can assume about the data you might be working with.
If you're an analyst who knows some VBA, that can be super useful but it would probably be a mistake to try to make your VBA-driven applications bullet proof. Nobody wants you to spend that much time on it, and the odds that something completely out of your control will change and break it anyway are quite high.
I think this also is a fundamental distinction between normal SWEs and People who use Excel as well as Data Engineers.
You always start with data, and you have no control over it. So this means:
1. you need state base programming env (excel, Jupyter) 2. you need to look at it to see whats there (plots)
I guess HN is mostly comprised of SWEs who built the DBs and Websites that create the data that then gets consumed by the Data Engs and the Excel people :D