Agree on stack overflow. And part of learning how to program is trying to structure logic into thoughtful questions.

With R specifically I’d recommend looking into the tidyverse library for R. Or at least understand the libraries your work environment will be specifying to make sure you’re on the same page.

Not sure how to take this. Out of all people who handle my data at this point - Apple seems to be towards the top. Not the top - but above many who handle my data and above google specifically.

Can you elaborate on this? If you have a moment.

As others have mentioned - I would second. A good website. Let them come to you. Give your solutions to common problems. Create a github. Provide repeatable examples on your GitHub and encourage contact for custom solutions.

This won’t be a multi million dollar business. At best you’ll give yourself some work to get your name out. Companies don’t talk to each other - but maybe your niche is different. This is really the only path I can see without attaching yourself to a larger entity.

20 years on giant enterprise codebases. And any enterprise worth their salt at this point will be scanning these servers and flagging eosl software.

My experience the last five years of the 20 - security and service life trumps all fucking complaints about complexity.

To the point where it’s the opposite and I’m fielding weekly questions about why we’re still running an older 3.7.9 version. Among 50 other things.

Meh. I’ve ported a fair many py2 projects to 3. At this point just bite the bullet. Even from a security standpoint. Trying to not let my bias seep through - but it’s been so long.

That’s fucking heart breaking. Thank you for sharing. Thank you for doing what you did. What a good person the boss was.