marielynneblock/arcanum-artifex · skills/data-science/dask/SKILL.md

dask skillA

Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.

Latest version

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Exact content

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Versions

version	committed	commit	size	audit
git:20260710.0115f49 latest	2026-07-10	0115f49	14,303 B	A	view · diff
git:20260710.ffb3400	2026-07-10	ffb3400	14,302 B	A	view · diff
git:20260515.b861afb	2026-05-15	b861afb	14,302 B	A	view · diff
git:20260406.05dff34	2026-04-06	05dff34	14,303 B	A	view

Audit of the latest version

A 17 of 17 checks passed. Deterministic, no model, same answer every run.

pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (14303 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag

Source

GitHub

marielynneblock/arcanum-artifex · 4 stars · license none · pushed 2026-09-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_yiccn4nsrtgfff33
GET https://markdownregistry.com/api/v1/resolve?ref=marielynneblock/arcanum-artifex/dask
GET https://markdownregistry.com/api/v1/blob/c7668529d06dd66e8f298571fe48692b84d5526b5a9dbc0ab8c213fe651e36a6