{"description":"\u30ac\u30c1\u30e3\u3068\u306f\u5fc3\u306e\u6240\u4f5c View more presentations from AntiBayesian http://partake.in/events/ac0fcc7d-a289-4e2a-bb8e-1965aab8b17bPython\u306e\u6570\u5024\u8a08\u7b97\u7cfb\u30e2\u30b8\u30e5\u30fc\u30ebNumpy\u3092\u7528\u3044\u3066\u30ac\u30c1\u30e3\u30b3\u30f3\u30d7\u306b\u95a2\u3059\u308b\u6b63\u3057\u3044\u78ba\u7387\u8a8d\u8b58\u3092\u3057\u307e\u3057\u3087\u3046\u3068\u3044\u3046\u30b9\u30e9\u30a4\u30c9\u3092\u4f5c\u308a\u307e\u3057\u305f\u3002 \u30bd\u30fc\u30b9\u3092\u7f6e\u3044\u3066\u304a\u304d\u307e\u3059\u3002\u5b9c\u3057\u3051\u308c\u3070\u3054\u89a7\u4e0b\u3055\u3044\u3002 import numpy as np import pylab as plt def gachaMain(weight, trialNum): length = len(weight) sumWei\u2026","title":"Tokyo.SciPy#3 \u30ac\u30c1\u30e3\u3068\u306f\u5fc3\u306e\u6240\u4f5c","author_name":"AntiBayesian","version":"1.0","image_url":null,"type":"rich","blog_url":"https://antibayesian.hateblo.jp/","provider_name":"Hatena Blog","blog_title":"\u3042\u3093\u3061\u3079\uff01","published":"2012-03-18 07:54:27","provider_url":"https://hatena.blog","categories":["\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0","Python","numpy","scipy"],"html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fantibayesian.hateblo.jp%2Fentry%2F20120318%2F1332024867\" title=\"Tokyo.SciPy#3 \u30ac\u30c1\u30e3\u3068\u306f\u5fc3\u306e\u6240\u4f5c - \u3042\u3093\u3061\u3079\uff01\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","author_url":"https://blog.hatena.ne.jp/AntiBayesian/","width":"100%","url":"https://antibayesian.hateblo.jp/entry/20120318/1332024867","height":"190"}