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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).

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beita6969
์—…๋ฐ์ดํŠธ๋จ 2026. 3. 12.
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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).

์„ค์น˜
$ install --globalskills.sh
์‚ฌ์šฉ๋ฒ•

์„ค์น˜ ํ›„ ํ„ฐ๋ฏธ๋„์—์„œ ๋‹ค์Œ ๋ช…๋ น์„ ์‹คํ–‰ํ•˜์—ฌ ์ด ์Šคํ‚ฌ์„ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค:

skills use scipy-analysis