numpy

High-performance numerical computing with multi-dimensional arrays, broadcasting, and vectorized operations. Use when performing matrix operations, statistical calculations, linear algebra (eigenvalues, matrix inversion), or array transformations. Essential for portfolio covariance matrices, returns calculations, and mathematical optimizations.

$ Instalar

git clone https://github.com/benchflow-ai/skillsbench /tmp/skillsbench && cp -r /tmp/skillsbench/shared_workspace/portfolio-risk-analysis/environment/skills/numpy ~/.claude/skills/skillsbench

// tip: Run this command in your terminal to install the skill

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benchflow-ai
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benchflow-ai/skillsbench/shared_workspace/portfolio-risk-analysis/environment/skills/numpy
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