No doubt useful, I just find that it’s failings are whisked away as “you don’t need to worry about source control because it won’t work!” It prevents users from learning things that would make their lives easier because it can’t do those things, it gets them stuck at a local optimum. It’s great for what it’s great for but as soon as you leave its usefulness domain jupyter becomes a burden to integrate even in a simple way.
There are ide plugins to use the jupyter kernels thought. Atoms hydrogen[1] or vscodes Python Support [2] comes to mind. Jetbrain IDEs have similar plugins.
They enable pretty much both package managers and scm without any overhead to speak of.
Comments
No doubt useful, I just find that it’s failings are whisked away as “you don’t need to worry about source control because it won’t work!” It prevents users from learning things that would make their lives easier because it can’t do those things, it gets them stuck at a local optimum. It’s great for what it’s great for but as soon as you leave its usefulness domain jupyter becomes a burden to integrate even in a simple way.
There are ide plugins to use the jupyter kernels thought. Atoms hydrogen[1] or vscodes Python Support [2] comes to mind. Jetbrain IDEs have similar plugins.
They enable pretty much both package managers and scm without any overhead to speak of.
There's Pluto for Julia: https://github.com/fonsp/Pluto.jl