LC_run_through
https://github.com/NII-cloud-operation/Jupyter-LC_wrapper
https://www.youtube.com/watch?v=pkzE_nwtEKQ
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Literate Computing; LC4RI; Literate Computing for Reproducible Infrastructure;
NII-Cloud-Operation; Jupyter; DevOps;
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demo "LC_run_through" - Jupyter Extension
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LC_run_through - enhanced collapsible headings for Infrastructure engineers
https://github.com/NII-cloud-operation/Jupyter-LC_wrapper
Description:
When you use Jupyter Notebook as a workflow live-document, you would like to have robust execution control, which is step-by-step with confirm, rather than non-constrainted explorative freedom.
This run_through gives you:
Adding a workflow perspective: Ordinal collapsed headings hide everything underneath according to your focus. With this extension embedded cells underneath are represented as bricks. Those collapsed cells can be run_through as a whole with a click as if a routine procedure.
Freeze: Preventing miss-operation; once a code cell has been executed, it freezes against unintended execution and modification. Note that the freeze is implemented as different state from standard cell-lock. The freeze temporally make an executed cell un-editable and un-executable.
Bricks: Giving a summarized perspective for execution control; embedded "cells" underneath are represented as bricks and be able to run through altogether with a click. Enhancement to Collapsible Headings
Run_through: Execute collapsed code cells as a whole; Simply reuse workflows without paying much attention to details, whithout needs for arrenge nor customization. As an example, run throughout the notebook as an executable checklist, then verify error if it occurs.
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http://img.youtube.com/vi/xYp5jS9fN_A/0.jpg
https://www.youtube.com/watch?v=xYp5jS9fN_A (540x540)