Summary
In this chapter, you learned how to design a Python package that is structurally capable of integrating well with Airflow. You learned the basics of how to develop your testing program and even provide a functioning example for your users to consume. All you need to do now is distribute and support it!
In our next chapter, we will be creating a workflow for a machine learning use case. We will be starting with how to take a notebook from a data scientist, go through the design process, and end with a DAG that orchestrates the processing and loading of data along with compiling and distributing our model artifact.
