Individual skill
pandas-pro
pandas guidance — data wrangling, groupby, merging, time series, performance optimization, and memory management.
skills/pandas-pro/SKILL.md
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## Overview
pandas is the lingua franca of tabular data in Python: DataFrames for wrangling, groupby for aggregation, merges for combining, and time-series tooling that handles most real-world messiness. It's also easy to write slow, memory-hungry pandas — the difference between fluent and naive usage is often 100x.
This skill covers idiomatic pandas: vectorized operations, the split-apply-combine pattern, correct merging, time-series handling, and the performance/memory practices that keep big DataFrames tractable.
## When to use
- Wrangling and cleaning tabular data.
- Aggregating with groupby.
- Merging/joining DataFrames.
- Working with time series.
- Speeding up slow pandas code.
- Reducing pandas memory usage.