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.
Install with Tessl CLI
npx tessl i github:K-Dense-AI/claude-scientific-skills --skill daskOverall
score
86%
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npx tessl skill review --optimize ./path/to/skillValidation for skill structure
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