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nbdev is a pretty interesting project. I'm working on something similar. nbdev allows you to write Python packages from Jupyter while Ploomber allows you to write modular data pipelines from Jupyter, we've had a bunch of companies report big productivity gains with this approach. That was my motivation to ask this question: I think it's possible to hit a balance between interactivity and production code
It's not a miracle cure but if you want a way to make Jupiter notebooks a lot easier to read and be able to present them in day zoom without ludicrous levels of scrolling check out this GitHub plug in for jupyter notebook https://github.com/robertstrauss/jupytermosaic
For Python development, the fastai people are promoting a notebook-first development approach with nbdev. They are using notebooks as part of a general development workflow, not just in data exploration setting, and apparently they are seeing significant productivity gains.