python-data-transform

Features and purpose

Transform, clean, and reshape data using pandas and numpy for ETL and data preprocessing. WHEN: Manipulating DataFrames, cleaning datasets, reshaping data (pivot, melt), merging/joining tables, data normalization, CSV/Excel processing. WHEN NOT: Creating Excel files with formatting (use python-xlsx), building APIs (use python-backend), statistical modeling.

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.