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In a scenario where you are working with multiple notebooks in a Databricks workspace that depend on a common Python library, and you need to ensure that the solution is scalable, maintainable, and adheres to best practices for dependency management, which of the following approaches would you choose? Consider the need for proper package structure, ease of updates, and minimal manual intervention. Choose the best option from the following: