{"title":"NumPy \u3067\u3064\u304f\u308b\u4ffa\u3005\u30c7\u30fc\u30bf\u69cb\u9020","width":"100%","type":"rich","blog_title":"StatsFragments","description":"\u306f\u3058\u3081\u306b Python \u3067\u306e\u6570\u5024\u8a08\u7b97\u306e\u57fa\u76e4\u3092\u306a\u3059 NumPy \u3001\u76f4\u611f\u7684\u306a\u30b9\u30e9\u30a4\u30b9\u3084\u30d6\u30ed\u30fc\u30c9\u30ad\u30e3\u30b9\u30c8\u3001\u95a2\u6570\u306e\u30d9\u30af\u30c8\u30eb\u9069\u7528\u306a\u3069\u5927\u5909\u4fbf\u5229\u3060\u3002 import numpy as np np.__version__ # '1.9.2' np.array([1, 2, 3]) # array([1, 2, 3]) np.array([1, 2, 3])[:2] # array([1, 2]) np.array([1, 2, 3]) + 1 # array([2, 3, 4]) \u304c\u3001\u7528\u9014\u306b\u3088\u3063\u3066\u306f NumPy \u6a19\u6e96\u3067\u306f\u305d\u306e\u6a5f\u80fd\u3092\u5b9f\u73fe\u3067\u304d\u306a\u3044\u5834\u5408\u304c\u3042\u308b\u3002\u4f8b\u3048\u3070\u3001 \u914d\u5217\u3068\u30e1\u30bf\u30c7\u30fc\u30bf\u3092\u3072\u3068\u3064\u306e\u30af\u30e9\u30b9\u3067\u6271\u3044\u305f\u3044 \u914d\u5217\u2026","blog_url":"https://sinhrks.hatenablog.com/","provider_url":"https://hatena.blog","height":"190","url":"https://sinhrks.hatenablog.com/entry/2015/09/21/223439","image_url":"http://ecx.images-amazon.com/images/I/51Y8KNTSc1L.jpg","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fsinhrks.hatenablog.com%2Fentry%2F2015%2F09%2F21%2F223439\" title=\"NumPy \u3067\u3064\u304f\u308b\u4ffa\u3005\u30c7\u30fc\u30bf\u69cb\u9020 - StatsFragments\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","categories":["Python"],"published":"2015-09-21 22:34:39","provider_name":"Hatena Blog","author_name":"sinhrks","author_url":"https://blog.hatena.ne.jp/sinhrks/","version":"1.0"}