jupyter-cache
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executablebooks
A defined interface for working with a cache of executed jupyter notebooks
For example all those run in a single execution
Could that confusion be improved by my suggestion to put the `execute` command inside the `stage` group? I think that'd make it clearer that `execute` only makes sense in the...
@mmcky 's comments about jupytext made me have a thought. Apologies if this has been obvious to others the whole time, but I think that this tool could be useful...
> Once stuff is cached...what do users do next? As mentioned above, they can inspect the cache for execution statistics etc. But I guess the main use is to create...
See: https://python.quantecon.org/status.html This can be achieved by: 1. Staging all notebooks for execution 2. Running execution (which will only run for notebooks that don't exist in the cache) 3. During/after...
Although this would introduce some extra complexity, it is (I think) a current requirement of Jupinx. Once #10 is implemented it would be possible to 'orchestrate' consecutive notebook execution, whereby:...
I would like to document my thoughts wrt caching, partly inspired by the exploration of different approaches by @chrisjsewell. I hope these would be useful. ### Requirements 0. I consider...
* removed pip updates as there are no more upper pinnings * no need for weekly updates * updates can be grouped
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A defined interface for working with a cache of executed jupyter notebooks