At this year’s PyCon DE & PyData Berlin, we presented our learnings and experiences in two talks. These covered very different aspects of data work: On the one hand, we showcased predictive modeling applications in wind turbine maintenance and the challenges of anomaly detection. In a different presentation, we explained why code reviews are still important for data science tasks and how we can apply them to benefit from the effort.