Started re-reading Wes McKinney's “Data Analysis for Python” text and noted that much of the material was generated in something called Quarto. Delved in a bit deeper and realized it had many of the benefits of jupyter notebooks but could generate report quality final product.

These characteristics matched what I needed for doing some aggregation and analysis of a recently completed staff survey around our case management tools.

Installation

Miniconda install from conda-forge was not working for me. Ended up doing install from Arch repositories.

Editing .qmd

Though my default editor is nvim, I used Code OSS and the quarto plugin to get a quick start for this project. The editor instruction #python, #quarto #jupyter

Code OSS

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