{"blog_title":"\u3089\u3093\u3060\u3080\u306a\u8a18\u61b6","type":"rich","height":"190","author_name":"derwind","image_url":null,"title":"python 3.6\u74b0\u5883","author_url":"https://blog.hatena.ne.jp/derwind/","version":"1.0","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Frandommemory.hatenablog.com%2Fentry%2F2017%2F01%2F29%2F210737\" title=\"python 3.6\u74b0\u5883 - \u3089\u3093\u3060\u3080\u306a\u8a18\u61b6\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","provider_url":"https://hatena.blog","description":"anaconda\u74b0\u5883 on Mac - \u3089\u3093\u3060\u3080\u306a\u8a18\u61b6\u3092\u66f8\u3044\u305f\u6642\u70b9\u30673.6\u3068\u304b\u30ea\u30ea\u30fc\u30b9\u3055\u308c\u3066\u308b\u3058\u3083\u30fc\u3093\u3068\u3044\u3046\u3053\u3068\u3067\u3001 $ conda create -n py36 python=3.6 numpy scipy pandas jupyter statsmodels matplotlib Pillow matplotlib scikit-learn nltk \u3057\u3068\u304f\u3002pyenv\u304c\u5fc5\u8981\u304b\u3069\u3046\u304b\u30d5\u30ed\u30fc\u30c1\u30e3\u30fc\u30c8 - Qiita\u3063\u3066\u306e\u3082\u3042\u3063\u305f\u3002pyenv\u3092\u9069\u5f53\u306b\u5165\u308c\u3066\u3044\u308b\u306e\u3067\u8033\u304c\u75db\u3044\u3002\u304b\u3082\u3002MacOS Mojave &amp; Python3.7 \u3067Tensorflow\u74b0\u5883\u69cb\u7bc9\u3057\u3088\u3046\u3068\u3057\u3066\u8a70\u307e\u3063\u305f\u8a71 - \u2026","url":"https://randommemory.hatenablog.com/entry/2017/01/29/210737","width":"100%","blog_url":"https://randommemory.hatenablog.com/","published":"2017-01-29 21:07:37","provider_name":"Hatena Blog","categories":["Python","Mac"]}