We present DimWit, a system for writing readable numerical and machine learning code. DimWit's core feature is a trait-based implementation of the named tensor notation, which improves readability and type-safety compared to standard tensors. We illustrate how to write machine learning models using DimWit, and discuss our experience training GPT-2.