Cell tagging within the Jupyter Notebook environment offers a mechanism for attaching metadata to individual code or markdown cells. This metadata, represented as text strings, facilitates cell organization, filtering, and selective execution. For example, a cell containing data preprocessing code can be tagged as “preprocessing,” allowing for targeted execution of all preprocessing steps.
The practice of applying labels to specific sections of a notebook streamlines workflow management. It enables efficient identification of cells related to particular analyses, facilitates the creation of customized execution workflows, and supports automated notebook processing. Historically, notebooks relied on code comments for similar functionality; cell tags provide a more structured and machine-readable alternative.
