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Currently the embeded REPL on the https://numpy.org landing page shows a REPL with the prompt cell at the bottom, which can be confusing to some users:
Just wanted to bring this up in case folks would be interested in tweaking a couple of settings for the current REPL.
cc @agriyakhetarpal who opened a similar issue on another repo (also in case a common single deployment for scientific Python is still something to consider).
The text was updated successfully, but these errors were encountered:
Thanks for opening this, @jtpio! Ah, right, we were discussing this in the pandas repo at pandas-dev/pandas#60758 (comment) as the REPL felt a tad awkwardly sized on the webpage if its width was left unrestricted. I think it makes sense to use these new options indeed, but I'll note the REPL suffers from the splitPanel bug we discovered in jupyterlite/jupyterlite-sphinx#290, so it would be nice if we could figure out a fix – I didn't spend a lot of time there after my initial investigation :D
Also, maybe we should discuss this in the https://github.com/numpy/numpy.org repo? 😅 If yes, it would be great if a maintainer here could transfer this issue there.
Also, maybe we should discuss this in the https://github.com/numpy/numpy.org repo? 😅 If yes, it would be great if a maintainer here could transfer this issue there.
Ah right, happy to close and reopen there if needed, but it can be transferred that would likely be easier 👍
Issue with current documentation:
Currently the embeded REPL on the https://numpy.org landing page shows a REPL with the prompt cell at the bottom, which can be confusing to some users:
Idea or request for content:
As a quick heads-up, JupyterLite 0.6.0 (currently in beta) will allow changing the position of the prompt cell: https://jupyterlite.readthedocs.io/en/latest/changelog.html#enhanced-repl-options
Just wanted to bring this up in case folks would be interested in tweaking a couple of settings for the current REPL.
cc @agriyakhetarpal who opened a similar issue on another repo (also in case a common single deployment for scientific Python is still something to consider).
The text was updated successfully, but these errors were encountered: