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What else are you doing with Jupyter notebooks, if you don't mind me asking? What's been your experience, your frustrations, and moments of delight? We built a

What else are you doing with Jupyter notebooks, if you don't mind me asking? What's been your experience, your frustrations, and moments of delight? We built a machine learning platform[0] with additional functionality [near real-time collaboration, long-running notebook scheduling, automatic model tracking and deployment, etc.] - [0]: https://iko.ai https://iko.ai

dec0dedab0de 6y ago
I don't think this will help your product directly, but I mostly use jupyter as a better repl that lets me figure things out for a one off, or to have something to copy and paste into wherever it's going to live. It's really good for tab completing a new library I'm trying, especially if said library dynamically creates attributes with their own dynamic attributes. I was doing that in ipython before the notebook was released, but what really won me over in the notebook was parsing data that didn't want to be parsed. I could have different cells that set a blob of data to different states, and try tweaking regexes or splits or whatever without having to restart or save intermediate files. And if I mess something up I just rerun the appropriate cells to get me back to where I was. My biggest complaint is the way it handles automatic parentheses and quotes, it's just always a bit off.
- Jugurtha 6y ago
  Thank you for your input. If you happen to be on a machine that doesn't have your usual setup, please consider using our platform. It's super useful if you work with other people remotely as you're able to work on the same notebook in near real-time[0], see each other's cursors and changes, etc. [0]: I've received some remarks about the fact I say "near real-time" and not "real-time". We have too many people from an Electronics Engineering background, including myself, on the team to dare use the term "real-time" for a web service. That's why we say "near real-time".

dec0dedab0de 6y ago

I don't think this will help your product directly, but I mostly use jupyter as a better repl that lets me figure things out for a one off, or to have something to copy and paste into wherever it's going to live. It's really good for tab completing a new library I'm trying, especially if said library dynamically creates attributes with their own dynamic attributes. I was doing that in ipython before the notebook was released, but what really won me over in the notebook was parsing data that didn't want to be parsed. I could have different cells that set a blob of data to different states, and try tweaking regexes or splits or whatever without having to restart or save intermediate files. And if I mess something up I just rerun the appropriate cells to get me back to where I was. My biggest complaint is the way it handles automatic parentheses and quotes, it's just always a bit off.

Jugurtha 6y ago
Thank you for your input. If you happen to be on a machine that doesn't have your usual setup, please consider using our platform. It's super useful if you work with other people remotely as you're able to work on the same notebook in near real-time[0], see each other's cursors and changes, etc. [0]: I've received some remarks about the fact I say "near real-time" and not "real-time". We have too many people from an Electronics Engineering background, including myself, on the team to dare use the term "real-time" for a web service. That's why we say "near real-time".