Want to use notebooks to leverage data from a Power BI semantic model (dataset)? Maybe you’re a data scientist wanting to augment your models with that data, or maybe you just want to validate stuff as a Power BI developer. Semantic Link (or Sempy) can help!
What is semantic link?
https://learn.microsoft.com/fabric/data-science/semantic-link-overview
Tutorial: Clean data with functional dependencies
https://learn.microsoft.com/fabric/data-science/tutorial-data-cleaning-functional-dependencies
Tutorial: Extract and calculate Power BI measures from a Jupyter notebook
https://learn.microsoft.com/fabric/data-science/tutorial-power-bi-measures
Detect, explore, and validate functional dependencies in your data
https://learn.microsoft.com/fabric/data-science/semantic-link-validate-data
fabric Package
https://learn.microsoft.com/python/api/semantic-link-sempy/sempy.fabric?view=semantic-link-python