I've found that FUSE/sshfs (at least on Mac) doesn't survive network reconnects. Switching WiFi networks, or even having the computer go to sleep, is enough to put it in a state where it can neither be used nor unmounted cleanly.
When Github enabled https for sites hosted on Github Pages, sites that were using custom domains went from redirecting https->http to giving certificate errors overnight. This happened to me. I didn't get a notification; the only way I found out what happened was by reading the Github blog. The blog post has a fix but it requires action by the site owner.
I'm curious how you handle the issue of scope in pynt.
From what I see in the readme, a lot of the features are about extracting code snippets from the source file and sending them to the notebook. But when you're trying to interactively edit a function that's deep in the call stack, there's a question of how to pause execution right as the function is being called and set up the execution scope for the REPL/notebook.
I actually think handling scope is perhaps the key issue for interactive programming. If the global scope is easier to interact with than anything nested, you continue to have a "penalty for abstraction". This is the case even if your language is purely functional/reactive/supports reversible debugging -- in some of his talks about Eve, Chris Granger mentioned how scope proved to be a real challenge even in a functional programming setting (IIRC).
This is one of the reasons I prefer Hydrogen to Jupyter notebooks. In a notebook all cells are toplevel, whereas in hydrogen I can select any chunk of text (or chunk of the AST) and execute it. It's not as good at presenting computational narratives, but much better for interactively changing an existing program to do something new. There's still a lot of issues on the UI front though, so I'm definitely interested in any ideas about that.
I'm interested if anyone has good tools for this kind of workflow, especially for Python.
As others have mentioned in the comments it seems that similar workflows have existed across a number of languages and IDEs for many years, but it seems that they haven't really caught mainstream attention (in the sense of there being common conventions that multiple languages and tools follow).
For my own workflow, I have a debugger-like tool for IPython (https://github.com/nikitakit/xdbg) that lets me set a breakpoint anywhere in my code and resume the current Jupyter session once the breakpoint is reached, making sure that scope is properly adjusted to provide access to all local variables. When combined with text editor integration (such as https://github.com/nteract/hydrogen), this is the best I've managed to come up with in terms of minimizing the "penalty for abstraction" while maintaining interactivity.
I agree, the notebook could really have much more powerful debugging.
I've actually been working on implementing something to that effect for Python (see http://kitaev.io/xdbg). But it's been really hard to figure out who already has experience with similar workflows, because these tend to be isolated to particular language or devtools communities.
Apparently I need to take a closer look at Smalltalk.
I liked the structure of the guide. However pairing the memory tables while mentally executing the code line-by-line got confusing for me. (Especially because the code was offscreen because the tables take up vertical space)