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Consider this setup:
Project with dataframe-core or dataframe 1.0.0-dev-6991 or later
Notebook with project dependencies
DataFrame will be available, but no imports and no codegen. Because integration no longer comes with Jupyter Integration, so we need an extra dependency
We can mitigate this problem, add dependency on Jupyter to umbrella dataframe artifact. But proper fix should fix it for dataframe-core too. So probably will involve fixes on kernel side
The text was updated successfully, but these errors were encountered:
@ileasile there might be interest from other libraries as well for "hinting" to the jupyter kernel that a specific dependency is needed for a library to work. The Kotlin Spark API for instance has the same issue.
Consider this setup:
Project with dataframe-core or dataframe
1.0.0-dev-6991
or laterNotebook with project dependencies
DataFrame will be available, but no imports and no codegen. Because integration no longer comes with Jupyter Integration, so we need an extra dependency
We can mitigate this problem, add dependency on Jupyter to umbrella dataframe artifact. But proper fix should fix it for
dataframe-core
too. So probably will involve fixes on kernel sideThe text was updated successfully, but these errors were encountered: