We believe that sharing and reusing data science code is the future for scaling machine learning across the world because it allows us to work more efficiently. To achieve this grand vision, we had to look at how micro-packaging could be done in Python, the language of choice for most data scientists. Micro-packaging is a widely debated topic in the npm world, and it hasn't taken off in the Python packaging ecosystem.

This talk will present the journey that brought us to this point, the challenges we've faced implementing this functionality and the solution we created in Kedro, an open-source Python framework for data science. Whether you're a data practitioner or a software engineer curious to reuse code between projects, you can draw some inspiration from this talk.