dask
✓Parallel/distributed computing. Scale pandas/NumPy beyond memory, parallel DataFrames/Arrays, multi-file processing, task graphs, for larger-than-RAM datasets and parallel workflows.
Installation
SKILL.md
Dask is a Python library for parallel and distributed computing that enables three critical capabilities:
Dask scales from laptops (processing 100 GiB) to clusters (processing 100 TiB) while maintaining familiar Python APIs.
Dask provides five main components, each suited to different use cases:
Parallel/distributed computing. Scale pandas/NumPy beyond memory, parallel DataFrames/Arrays, multi-file processing, task graphs, for larger-than-RAM datasets and parallel workflows. Source: ovachiever/droid-tings.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/ovachiever/droid-tings --skill dask- Source
- ovachiever/droid-tings
- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is dask?
Parallel/distributed computing. Scale pandas/NumPy beyond memory, parallel DataFrames/Arrays, multi-file processing, task graphs, for larger-than-RAM datasets and parallel workflows. Source: ovachiever/droid-tings.
How do I install dask?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/ovachiever/droid-tings --skill dask Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/ovachiever/droid-tings
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-01