After a brief introduction to particle physics datasets, I will discuss how we adapted the scientific python ecosystem to efficiently and conveniently process these data, from ingestion, through manipulation with novel array programming techniques, to reduction using histograms. Then, I will describe how we currently scale our processing with dask and how we would like to improve our solution.