> Yes, Anaconda + Jupyter is an environment and org mode is not. That’s a big reason Jupyter is so popular.
You're again comparing apples to oranges. If you want to use Jupyter, you need to install a whole lot of stuff (easier to do if you're using Anaconda, agreed). It's "not simple" enough that there are public docker images for it. My point is that when tooling is an issue, you can do the exact same thing with an org-based setup.
>My point was Jupyter inflicts far less technical burden and debt on other people. There’s a huge downside to custom environments. If that’s not obvious, that explains why it’s hard to understand jupyter’s popularity.
I agree that there's difficulty in achieving reproducible environments, and that's why there's tools that handle that for you. I think that much of Jupyter's popularity comes from the fact that it's easily available, and based on Python, which let's non-programmers get started moderately quickly. I just don't think that it's the best choice. This is not to shit on Jupyter, I've mentioned a bunch of advantages of using org (which by the way, you haven't really addressed, other than focusing on the setup aspects)
> I’m sure you didn’t mean it that way, but this borders on white tower programmer centric dismissiveness.
It's not, really. My point is that when you're doing presumably advanced analysis on presumably complex data, you (should!) certainly have the capacity to deal with tooling.
You're again comparing apples to oranges. If you want to use Jupyter, you need to install a whole lot of stuff (easier to do if you're using Anaconda, agreed). It's "not simple" enough that there are public docker images for it. My point is that when tooling is an issue, you can do the exact same thing with an org-based setup.
>My point was Jupyter inflicts far less technical burden and debt on other people. There’s a huge downside to custom environments. If that’s not obvious, that explains why it’s hard to understand jupyter’s popularity.
I agree that there's difficulty in achieving reproducible environments, and that's why there's tools that handle that for you. I think that much of Jupyter's popularity comes from the fact that it's easily available, and based on Python, which let's non-programmers get started moderately quickly. I just don't think that it's the best choice. This is not to shit on Jupyter, I've mentioned a bunch of advantages of using org (which by the way, you haven't really addressed, other than focusing on the setup aspects)
> I’m sure you didn’t mean it that way, but this borders on white tower programmer centric dismissiveness.
It's not, really. My point is that when you're doing presumably advanced analysis on presumably complex data, you (should!) certainly have the capacity to deal with tooling.