Sharing code effectively is key to building scalable and maintainable data solutions. Whether you're deploying Python libraries or moving workflows across environments, efficient code distribution ensures consistency, reduces errors, and streamlines collaboration.

In this session, we’ll explore two powerful ways to package and distribute code: Python Wheels and Databricks Asset Bundles (DABs). You’ll learn how Python Wheels enable faster, more reliable sharing of Python code and how Databricks Asset Bundles allow you to package entire projects, including scripts, workflows, and Delta Live Tables. We’ll also cover the key differences between these approaches and when to use each.

By the end, you’ll have a clear understanding of how to distribute code effectively in Databricks. You’ll gain practical knowledge of Python Wheels for efficient package distribution and Databricks Asset Bundles for managing full-scale projects, helping you simplify development and deployment.