Exploring Interactive Notebooks
Summary
As I mentioned the other day, one of my background learning goals for the second half of this year is a maths refresh and to explore the world of data science. To quote the Jupyter site: As others have pointed out, they also hold great potential for creating actionable documentation for common IT operational incidents. This may be the first area I explore - it’s potentially more accessible to me while I learn more about data science The range of tools and services which are available to run notebooks, either locally or in the cloud, seems to be growing all the time. A few that I have played with (or at least looked at) so far: • in Visual Studio Code Insiders with the extension • Paperspace Gradient (which even has a free tier that includes GPU for heavy processing) The number of kernels available (and therefore the languages you can write your notebooks in) is also increasing. Depending on the environment you run in you may have one or more of the following available: I also found this great list of example notebooks.
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