I built 'dfxpy' to reduce repetitive Pandas + ML preprocessing workflows

Every data project starts with excitement. Then comes: missing values duplicate rows inconsistent column names encoding leakage checks skew analysis outlier handling repetitive preprocessing pipelines After rebuilding the same workflow across notebooks and projects, I decided to create something reusable. So I built dfxpy — an open-source Python package focused on accelerating DataFrame workflows for machine learning, analytics, and research. What dfxpy does Automated Cleaning smart type inferen