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I don't use it because I'm used to other things, but I really love the concept and I am sure I would be a user if it had existed some years ago. More importantl
by yiyus 8y ago
I don't use it because I'm used to other things, but I really love the concept and I am sure I would be a user if it had existed some years ago. More importantly, I know it is doing a great job helping many scientists. Other tools like the ones you mention may improve certain aspects or fit better in some workflows, but Jupyter is the clear leader in the field, it is the one that changed the state of the art, even although some similar tools already existed and new (and maybe better) ones will come. I think the award is well deserved.
- gbrown 8y agoI think the workflow is great for the web tutorials I see all over the place, and I'm sure it's a pretty good fit for exploratory data analysis and model building. On the other hand, I see a lot of people pushing it as the must have tool for data science broadly, and I just don't see it fitting into most production workflows. When a model and the associated data pipelines hit production, they need to be version controlled - plain text files can't be beat for that. The idea that the same tool should be both IDE and report is also very strange to me - I can see how it lowers the barrier to entry in some cases, but it doesn't seem optimal for most uses. I do agree that Jupyter has helped a lot to get reproducibility on people's radars, and that's a positive thing.