scientific-computingresearch
scipy-analysis
Scientific computing and statistical analysis with SciPy, NumPy, and pandas. Use when: (1) statistical hypothesis testing, (2) optimization problems, (3) signal processing, (4) numerical integration, (5) data manipulation and analysis. NOT for: symbolic math (use sympy-math), machine learning (use sklearn directly), or visualization (use matplotlib-viz).
maintainer
beita6969
更新于 3/12/2026
星标
571
分支
57
quick start
Installation and usage
Scientific computing and statistical analysis with SciPy, NumPy, and pandas. Use when: (1) statistical hypothesis testing, (2) optimization problems, (3) signal processing, (4) numerical integration, (5) data manipulation and analysis. NOT for: symbolic math (use sympy-math), machine learning (use sklearn directly), or visualization (use matplotlib-viz).
安装
$ install --globalskills.sh
使用
安装后,您可以通过在终端运行以下命令来使用此技能:
skills use scipy-analysis