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<== Date ==> <== Thread ==>

Subject: Re: Using Jupyter notebooks for controlling experiments
From: Heinz Junkes via Tech-talk <tech-talk at aps.anl.gov>
To: "Cobb, Tom (DLSLtd,RAL,LSCI)" <tom.cobb at diamond.ac.uk>
Cc: "tech-talk at aps.anl.gov" <tech-talk at aps.anl.gov>
Date: Mon, 11 May 2020 15:14:41 +0200
Hello, Tom,

we want to use Jupyter noteboos in the context of "Blueksy" (https://blueskyproject.io/) also for recording data and running
experiments. At the moment we only control small things like demagnetization and optimization of beam paths. 
Not a complete experiment, but we would like to do that.

The notebooks are currently "managed" in the environment of "The Littlest JupyterHub" (http://tljh.jupyter.org/en/latest/).
Here we are not quite sure how to proceed, but we are very confident that this can work for our size (we are a very small installation).

Heinz

> On 11. May 2020, at 15:01, Cobb, Tom (DLSLtd,RAL,LSCI) via Tech-talk <tech-talk at aps.anl.gov> wrote:
> 
> Hi All,
> 
> A number of scientists at Diamond use Jupyter notebooks for some of their data analysis, and I was imagining how they might be used to control an experiment. It seems a nice idea to be able to scan a sample from the notebook, perform analysis on it, then use the results to inform the next scan. However, I am not sure how this would work in practice, especially with respect to version control of the notebooks, and how to track the data produced by cells that scanned a sample when the cell was re-run.
> 
> Is anyone using or planning to use Jupyter notebooks for controlling taking data as well as analysing it?
> 
> Thanks,
> Tom
> 
> 
>  
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References:
Using Jupyter notebooks for controlling experiments Cobb, Tom (DLSLtd,RAL,LSCI) via Tech-talk

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