At last year's PyData Eindhoven, an amazing talk was given by Ionuț Barbu and Tim Brakenhoff. They explained how you can create maintainable, reproducible, and production-ready data science pipelines. If you're starting a new project and are feeling overwhelmed by this process, this talk is a must-watch!
In the talk Bright Cape demonstrate how we benefit from Kedro to tackle these hurdles of creating machine learning products. Kedro is an open-source Python framework for creating reproducible, maintainable and modular data science code – code that easily transitions into production. We focussed on the Kedro project structure, the decoupling between the data and code layers, nodes, pipelines, and the built-in visualizations.