I think this applies in some cases, but disagree here. “Just use poetry and pyenv” is my line, and I stand by it because these tools are well documented, and wo

I think this applies in some cases, but disagree here. “Just use poetry and pyenv” is my line, and I stand by it because these tools are well documented, and work well for most use-cases. It’s contrasted with a bunch of other more complex options, in tedious yak shave conversations. Often in threads where many people are complaining about how confusing the multitude of options are. It’s not confusing if you short-circuit the conversation; if you need advice, don’t go down the rabbit hole, just use poetry and pyenv on MacOS, you will make your life easier than the alternatives. There are plenty of docs that will give the hand-holding that you are looking for, so nice you have made the decision. If you know what you are doing there are arguments for other options, and data scientists have different tool chains. But I think we make it harder for new engineers by having five different ways of doing it, each with people arguing that actually their way is better.