Metadata Processing with Python and Quarto
Embedded Files
A version of the PAR primary data product case study with metadata has been implemented in python. The goal is to demonstrate how the related programming concepts are universal to most computer programming languages. If you were to work through the logic of the development of the primary data product using python and the numpy, pandas, and matplotlib python libraries instead of R, you might arrive at code similar to the following.
The following is the 1_processing.qmd Quarto markdown file designed using similar logic to the development of the 1_processing.Rmd Rmarkdown file in the videos of the PAR primary data product case study with metadata.
The following is the 1_processing.py script designed using similar logic to the development of the 1_processing.R script in the videos of the PAR primary data product case study with metadata.
The following is the 2_metadata.qmd Quarto markdown file designed using similar logic to the development of the 2_metadata.Rmd Rmarkdown file in the videos of the PAR primary data product case study with metadata.
The following is the 2_metadata.py script designed using similar logic to the development of the 2_metadata.R script in the videos of the PAR primary data product case study with metadata.
Use the following link to download a zip archive file with the full pipeline for the PAR primary data product with metadata created using Quarto and python. This pipeline includes a VS Code workspace file that functions similar to an RStudio project file in terms of opening the integrated development in the appropriate working directory for the relative paths used in the code.
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