Integrating Tests and AI in Data Science

This chapter explores the significance of writing unit tests while developing in Jupyter notebooks and the integration of Python scripts for consistency. It discusses the role of AI, particularly large language models, in aiding coding processes while highlighting potential pitfalls for new developers. The conversation also emphasizes the need for improved interfaces and standardization in machine learning to enhance productivity and project management.