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Any chance of this being offered for on-prem install in the future? Looks interesting but cloud only makes it a no go for my team.
We are seriously considering such a possibility. Do you have any specific requirements for on prem installation?
I love notebooks as a way to present information, data, code and computations. However, I cannot stand typing any text into a web browser window. Is there any way to edit a jupyter notebook with a text editor and then run it in the browser? The native json is not really human-editable.
As with so many things python related (including python itself), I am perplexed by how willing people seem to be to fall in love with solutions that have so many limitations and problems. I find Jupyter just barely usable. I constantly have issues with editing in the cells, diagrams not sizing correctly, cells accidentally displaying huge amounts of data and freezing my browser, complete failure of autocompletion in…
Does anybody know of a good hosted solution of JupyterHub? I made a neat notebook that I needed to share with my non-technical team, it was using iPyWidgets to do some interactive modeling, but they each needed to be able to use it independently. It has private data so I couldn't use Binder. I've been following Zepl.com for a long time, but couldn't use them here because Zepplin doesn't support iPyWidgets. Pretty soo…
https://the-littlest-jupyterhub.readthedocs.io/ is really easy to deploy on your own server!
I love notebooks as a way to present information, data, code and computations. However, I cannot stand typing any text into a web browser window. Is there any way to edit a jupyter notebook with a text editor and then run it in the browser? The native json is not really human-editable.
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I hate to be the stereotypical Julia recommender, but it is made for this use case, more so than Python, which isn’t all that much faster than R if speed matters. (Unless you want to try Cython but that’s a whole bag of worms.)
I'd second that. R and Python both have the same pre-LLVM performance issues. I don't expect either R or Python to go away either time soon, nor would I want them to, but I would like to see people moving to things like Julia and Nim, which have the same level of expressivity, but are much more performant. I have difficulty imagining many people saying "I love programming in R and Python, but don't like Julia or Nim.…
In theory, there are Python and Julia equivalents to RStudio (JupyterLab, Spyder, PyCharm, Juno, whatever) but RStudio is just so, so, so good. A truly great piece of software.
And of course if you have a data pipeline type workflow, and it fits into the Hadleyverse paradigm and isn't too performance intensive, there's nothing better.
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I feel the same way, especially as an emacs user. Org-babel seems to be a superior implementation of the same idea. Org is just a text document, so git and git diffs work. I can use any combination of languages I want in a document and have them running in different sessions. And best of all I can edit code blocks using my customized major mode for that language. On top of that you get all the goodness that comes wit…
I expect jupyter notebooks to keep an environment consistent between cells. Org-Babel doesn’t generally do this. A Good notebook environment is more like a lisp buffer with block comments.
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The hard part is that introducing a tool like git (which requires you to choose moments to take a snapshot of the file, and then add some commit message) breaks the flow of interactive experimentation that notebooks are so good for. And then we need to find a way to make those commits useful, because the time ordering of commits could be different from the time order in which cells were run! That is what is crucial t…
I'm not a Jupyter user, but I solve the reproducibility problem with Make. As a project moves from exploration toward production, the entire thing is wrapped into a Makefile that can flow from raw data to publication in a single call to make.
How do you manage encapsulating each step, and passing data between them?
The majority of the complaints I hear about notebooks I think come from a misunderstanding of what they're supposed to be. It's a mashup between a scientific paper and a repl. So it's useful for a bit of both: a) Just like with a paper, you can present scientific or mathematical ideas with accompanying visualizations or simulations. From the REPL side, as a bonus, you get interactivity, and the reader can pause and e…
> When I see stuff around notebooks for "reproducibility", I'm a bit confused in that notebooks often don't specify any guidance on installation and dependencies, let alone things like arguments and options that a regular old script would. At the core of this, as some others may have already alluded to already, is that many academic scientists have not been socialized to make a distinction between development and pro…
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Ah, actually it looks like I'm somewhat mistaken. R Markdown supports other languages as well. I think the real difference is that it doesn't look like R Markdown supports partial evaluation. By that I mean that that to share the r-markdown doc it appears that you need to rerun the whole thing. It does some tricks to do concurrent visualization, but to actually share the doc you have to rerun all the R/python from sc…
You can cache the results of an rmd cell, and you can also share the rendered version of the doc first. You're right that there's a higher emphasis on "run the whole thing," and I think that that's a conscious (and acceptable) design choice vs not being sure that the shared doc will run as provided.