Comments (2)
Sorry for the late response.
A class that can parallelize the execution of notebooks
Possibly -- it can be tricky to generalize as there's multiple parallelization strategies. It might be better to leave the repo simple and not add parallelization opinions. I could be swayed on this, but I think that's the stance for more general repos.
A way to check whether a notebook has become "stale" and should be re-executed to make sure outputs match the code cells or content
I would say this definitely belong outside of nbclient, unless there was something added to the protocol to specifically support the idea for other jupyter projects.
A way to generate information about the execution status (stale, fresh, error states, etc) of multiple notebooks
Same as above. Though the doing #28 will give some of the information I think you'd use to inform staleness.
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thanks - this is super useful feedback. we ended up piloting some prototypes for the "multi-notebook execution and cacheing" stuff here: https://github.com/executablebookproject/jupyter-cache
would love to know if you think that's interesting and/or useful! We will plan to keep this functionality in that package, but if there are ways to contribute back to nbclient
in the process we are happy to make it happen
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Related Issues (20)
- Using nbclient to talk to jupyter lab running remotely HOT 10
- Renamed default branch to main
- 0.6.1: sphinx faiils because missing file HOT 2
- Background Python process after running tests
- How to reuse exsisting kernel? HOT 4
- Test failure in ipywidgets 8 HOT 2
- nbclient 0.6.6 doesn't report cell magic error properly
- Cell caching HOT 6
- just_run does not close event loop it creates HOT 2
- Project dependencies may have API risk issues HOT 2
- 0.7.1: pytest is failing because missing ` jupyter_core.utils.ensure_async` HOT 11
- jupyter_core version constraint is invalid HOT 3
- nbclient >= 0.7.1 raises ImportError when trying to open a notebook HOT 1
- AttributeError: 'KernelManager' object has no attribute 'cleanup' HOT 5
- `NotebookClient.wait_for_reply` hangs with jupyter_client 8 or later HOT 4
- Is it possible to programmatically inspect variables of a NotebookNode? HOT 5
- output of type `stream` is split over multiple cells HOT 10
- execute_cell running error HOT 4
- ipykernel.comm.Comm is deprecated HOT 3
- Calling `jupyter-execute` runs the notebook but doesn't save it HOT 5
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