It's a good way of separating useless crap from good code. If the main code is in a notebook, ignore it completely. If the code is in python but no ipynb, it

It's a good way of separating useless crap from good code. If the main code is in a notebook, ignore it completely. If the code is in python but no ipynb, it may be useful. If it's a well structured code base, and there are some ipynb files, check it out and determine if it's good software. Then the ipynb files are like only a few lines, but show decent plots and the package may end up being useful. Python can be good, it's just unfortunately less and less likely due to far too many idiots using it. At least it's not R though.