Individual skill
vaex
Processes large tabular scientific datasets with Vaex expressions, filtered views, streamed statistics, binned visualizations, and file conversion. Use for larger-than-RAM HDF5, Arrow, CSV, or Parquet analysis, virtual feature engineering, or Vaex ML preprocessing; distinguishes these operations from estimators and conversions that materialize data.
skills/vaex/SKILL.md
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# Vaex
## When to use
Use Vaex for columnar analysis on a single machine when data exceeds RAM, especially
repeated reductions and histograms over local Vaex HDF5 or Arrow files. Expressions
and virtual columns defer computation; reductions normally execute immediately.
Out-of-core storage does not make every operation memory bounded: sorting, joins,
large group dictionaries, materialization, and many estimator fits need substantial RAM.
## Installation and verified scope
Use a separate environment; the repository's default Python is newer than this release supports:
