Pandas is a powerful tool for working with data in tables. This skill helps you clean, merge, and transform data using pandas DataFrames. You can handle missing values, group data, and resample time series easily.
It shows you how to use fast vectorized operations instead of slow loops. You will learn to join tables on multiple keys, pivot data, and fill gaps with forward-fill or interpolation. The skill also covers groupby aggregations and type conversion.
Large datasets are no problem. You get tips to optimize memory and avoid common mistakes. This skill is ideal for anyone who works with spreadsheets or databases and wants to do analysis in Python.
Global
mkdir -p ~/.claude/skills/pandas-proProject
mkdir -p .claude/skills/pandas-proSource Repository
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