{"version":"1.0","type":"rich","author_url":"https://blog.hatena.ne.jp/chayarokurokuro/","provider_url":"https://hatena.blog","description":"Numpy\u3060\u3051\u3067\u30ed\u30b8\u30b9\u30c6\u30a3\u30c3\u30af\u56de\u5e30\u5206\u6790\u3002\u305d\u306e8\u3002 \u52d5\u4f5c\u78ba\u8a8d\u3002\u8aac\u660e\u7684\u306a\u3082\u306e\u306f\u7121\u3057\u3002 \u5b9f\u884c\u74b0\u5883 Android\u30b9\u30de\u30db termux Python3.8 JupyterNotebook Python\u30e9\u30a4\u30d6\u30e9\u30ea Numpy \u5b9f\u9a13\u624b\u9806 2\u5024\u5206\u985e\u7528\u306b\u5b9f\u9a13\u30c7\u30fc\u30bf\u3092\u3064\u304f\u308b\u3002\u76ee\u7684\u5909\u6570\u3092 \u30a2\u30af\u30bb\u30eb=1 \u30d6\u30ec\u30fc\u30ad=0\u3068\u304a\u304f\u3002\u8aac\u660e\u5909\u6570\u3067\u52a0\u901f\u5ea6\u3092\u30d7\u30e9\u30b9\u3068\u30de\u30a4\u30ca\u30b9\u3067\u9069\u5f53\u306a\u6574\u6570\u5024\u306b\u751f\u6210 \u56de\u5e30\u4fc2\u6570\u3092Numpy\u3067\u51fa\u3057\u3001\u56de\u5e30\u591a\u9805\u5f0f\u3092\u3064\u304f\u308b\u3002 \u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u3092\u56de\u5e30\u591a\u9805\u5f0f\u306b\u4ee3\u5165\u3057\u3066\u4e88\u6e2c\u5024\u3092\u7b97\u51fa\u3059\u308b\u3002 \u4e88\u6e2c\u5024\u3092\u30b7\u30b0\u30e2\u30a4\u30c9\u95a2\u6570\u306b\u4ee3\u5165\u3057\u3001\u30a2\u30af\u30bb\u30ebor\u30d6\u30ec\u30fc\u30ad\u306e\u3069\u3061\u3089\u304c\u8e0f\u307e\u308c\u305f\u304b\u3092\u78ba\u7387\u3067\u51fa\u3059\u3002 \u5b9f\u9a13\u30b9\u30bf\u30fc\u30c8 import numpy as n\u2026","height":"190","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fchayarokurokuro.hatenablog.com%2Fentry%2F2020%2F01%2F25%2F145834\" title=\"Numpy\u3060\u3051\u3067\u30ed\u30b8\u30b9\u30c6\u30a3\u30c3\u30af\u56de\u5e30\u5206\u6790\u30c6\u30b9\u30c8\u3002\u30a2\u30af\u30bb\u30ebor\u30d6\u30ec\u30fc\u30ad\uff1f  - \u3088\u3061\u3088\u3061python   \" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","width":"100%","url":"https://chayarokurokuro.hatenablog.com/entry/2020/01/25/145834","published":"2020-01-25 14:58:34","categories":["Android","JupyterNotebook","numpy","python","termux","\u30b9\u30de\u30db","\u6a5f\u68b0\u5b66\u7fd2"],"author_name":"chayarokurokuro","image_url":null,"blog_title":"\u3088\u3061\u3088\u3061python   ","title":"Numpy\u3060\u3051\u3067\u30ed\u30b8\u30b9\u30c6\u30a3\u30c3\u30af\u56de\u5e30\u5206\u6790\u30c6\u30b9\u30c8\u3002\u30a2\u30af\u30bb\u30ebor\u30d6\u30ec\u30fc\u30ad\uff1f ","provider_name":"Hatena Blog","blog_url":"https://chayarokurokuro.hatenablog.com/"}