Pandas Pro skill: what it does and how to install it

What it does. Examines dtypes, memory use and missing values, then designs and implements vectorised DataFrame transformations with method chaining and explicit indexing. It covers cleaning, groupby aggregation, joins, pivots, resampling, missing values and memory optimisation, with checks for shapes, nulls and data types.

When to use it. For pandas data manipulation, analysis, cleaning and transformation tasks, especially with large datasets or time series. It favours vectorised operations and chunking over row iteration, and avoids deprecated or unsafe indexing patterns.