dask
✓Use when "Dask", "parallel computing", "distributed computing", "larger than memory", or asking about "parallel pandas", "parallel numpy", "out-of-core", "multi-file processing", "cluster computing", "lazy evaluation dataframe"
Installation
SKILL.md
| DataFrame | pandas | Tabular data, CSV/Parquet | | Array | NumPy | Numerical arrays, matrices | | Bag | list | Unstructured data, JSON logs | | Delayed | Custom | Arbitrary Python functions |
Key concept: All collections are lazy—computation happens only when you call .compute().
| dd.readcsv() | Lazy load | Large CSVs | | dd.readparquet() | Lazy load | Large Parquet | | Operations | Build graph | Chain transforms | | .compute() | Execute | Get final result |
Use when "Dask", "parallel computing", "distributed computing", "larger than memory", or asking about "parallel pandas", "parallel numpy", "out-of-core", "multi-file processing", "cluster computing", "lazy evaluation dataframe" Source: eyadsibai/ltk.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/eyadsibai/ltk --skill dask- Source
- eyadsibai/ltk
- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-17
- Updated
- 2026-02-18
Quick answers
What is dask?
Use when "Dask", "parallel computing", "distributed computing", "larger than memory", or asking about "parallel pandas", "parallel numpy", "out-of-core", "multi-file processing", "cluster computing", "lazy evaluation dataframe" Source: eyadsibai/ltk.
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/eyadsibai/ltk --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/eyadsibai/ltk
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-17