Congrats! I will be exploring other options for running Jupyter, and revert to the old version in the meantime. Would that fix your problem?īut no, you made it more like JupyterLab. I'd suggest that you give a try to DataSpell and let's know if you like it.Īlso, I think it makes to provide an easily discoverable action that would allow you to convert the selected notebook to a Python script. For example, DataSpell already supports Git Diff for Jupyter notebooks. However, some of DataSpell features might get to P圜har, with a delay. So you know P圜harm's support for Jupyter notebooks comes from DataSpell. You know what would be useful, give you an edge in the marketplace? Have the option to commit just the text from the old code pane (both the python/R and markdown) to git, without all the useless json and execution output. If it's not the case for you, please raise a bug report, ideally with a screenshot and steps to reproduce. The Replace All functionality should work not only in the current cell but in the entire notebook. How do I reset the outputs when I want to start over? Congrats! I will be exploring other options for running Jupyter, and revert to the old version in the I do a "replace all", I want it to replace throughout the notebook, not just in the current cell. As it is, what gets committed is bloated and can't be diffed- nearly useless.īut no, you made it more like JupyterLab. THEN one could actually use git the way it is meant to be used, so you could do a diff and see what changed between versions. Editing and cell execution are not allowed. Once a notebook is opened, you can view all of its cells with both input and outputs. How do I reset the outputs when I want to start over? Unlike P圜harm Professional and DataSpell, P圜harm Community users can preview Jupyter notebooks in read-only mode. When I do a "replace all", I want it to replace throughout the notebook, not just in the current cell. When I have 2000 lines of code, I don't want the lines renumbered in each cell. I'm glad you finally fixed how the notebook is rendered so that Altair, Bokeh, etc. The old side-by-side configuration was much better- if I wanted it inline, I would just use JupyterLab.
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