I would argue that the problem is that it IS targeted toward developers. In the sense of those who are developing new methods and making proof of concepts. Adm

I would argue that the problem is that it IS targeted toward developers. In the sense of those who are developing new methods and making proof of concepts. Admittedly, most of my experience is with ipython but it is perfect for that. If there is a new algorithm/method I want to explore or I am figuring out an interface/structure, it is great. And I tend to not have to reset the kernel too often. In that sense, jupyter was a great idea as you can now integrate documentation with code in a nice format. Unfortunately, it also led to a strong focus on treating them as containers for the purpose of deploying code (more traditional software development).