Modify the import statements in each notebook to use absolute paths based on the location of the Wheels in the Databricks file system, ensuring quick access but potentially complicating future updates.

Refactor the Python code to include a top-level package with an __init__.py file, and update the import statements in the notebooks to use relative paths based on the new package structure, adhering to Python packaging standards.

Use the Databricks workspace's shared storage to host the Wheels, and update the import statements in the notebooks to reference the Wheels directly, which may increase storage costs but simplifies initial setup.

Create a new library in Databricks for each Wheel and use the library's URI in the notebook to import the required modules, which could lead to management overhead but ensures isolation of dependencies.