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futures

Dask futures extend Python's concurrent.futures interface, enabling immediate (non-lazy) task execution. Unlike delayed computations (used in DataFrames, Arrays, and Bags), futures provide more flexibility in situations where computations…

  • Skills
  • Scientific
  • 2

What it does and how to use it

A skill that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.

  1. Install the skill (command above).
  2. In Claude Code, describe what you need - the skill turns on by itself when the context fits.
  3. No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/futures && curl -fsSL https://doutorai.pt/data/lib/skills__futures.md -o .claude/skills/futures/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# Dask Futures

## Overview

Dask futures extend Python's `concurrent.futures` interface, enabling immediate (non-lazy) task execution. Unlike delayed computations (used in DataFrames, Arrays, and Bags), futures provide more flexibility in situations where computations may evolve over time or require dynamic workflow construction.

## Core Concept

Futures represent real-time task execution:
- Tasks execute immediately when submitted (not lazy)
- Each future represents a remote computation result
- Automatic dependency tracking between futures
- Enables dynamic, evolving workflows
- Direct con

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