{"id":2648,"date":"2014-09-14T09:52:12","date_gmt":"2014-09-14T00:52:12","guid":{"rendered":"http:\/\/www.koemu.com\/blog\/?p=2648"},"modified":"2014-09-16T14:59:59","modified_gmt":"2014-09-16T05:59:59","slug":"pycon-jp-2014-day2","status":"publish","type":"post","link":"https:\/\/www.koemu.com\/blog\/2014\/09\/14\/pycon-jp-2014-day2\/","title":{"rendered":"PyCon JP 2014 Day 2 \u611f\u60f3\u3068\u30ce\u30fc\u30c8 #pyconjp"},"content":{"rendered":"<p>2014\/09\/12(\u91d1)\u304b\u3089\u59cb\u307e\u3063\u3066\u3044\u308b\u3001<a href=\"https:\/\/pycon.jp\/2014\/\" target=\"_blank\">PyCon JP 2014<\/a>\u306b\u6765\u3066\u3044\u307e\u3059\u3002\u4eca\u306f3\u65e5\u76ee\u306e\u671d\u306b\u884c\u308f\u308c\u308b\u897f\u5c3e\u3055\u3093\u306e\u57fa\u8abf\u8b1b\u6f14\u3092\u5f85\u3063\u3066\u3044\u308b\u6240\u3067\u3059\u3002\u697d\u3057\u307f\u3067\u3059\uff01\u5b9f\u306fPyCon\u306f\u521d\u3081\u3066\u306a\u306e\u3067\u3059\u304c\u3001YAPC::Asia\u3068\u307e\u305f\u9055\u3063\u305f\u8da3\u304c\u3042\u3063\u3066\u697d\u3057\u3044\u3068\u3053\u308d\u3067\u3059\u3002<\/p>\n<p>\u305d\u308c\u3067\u306f\u3001\u4eca\u56de\u3082\u30ce\u30fc\u30c8\u3092\u30a2\u30c3\u30d7\u3057\u3066\u304a\u304d\u307e\u3059\u3002\u3053\u3061\u3089\u306f2014\/09\/13(\u571f)\u306b\u884c\u308f\u308c\u305f2\u65e5\u76ee\u3001\u30ab\u30f3\u30d5\u30a1\u30ec\u30f3\u30b9\u3068\u3057\u3066\u306f1\u65e5\u76ee\u306e\u30ce\u30fc\u30c8\u3067\u3059\u3002<\/p>\n<h3 id=\"\">\u30aa\u30fc\u30d7\u30cb\u30f3\u30b0<\/h3>\n<ul>\n<li>\u611f\u60f3\n<ul>\n<li>\u3057\u3087\u3063\u3071\u306a\u304b\u3089\u82f1\u8a9e<\/li>\n<li>\u6d77\u5916\u304b\u3089\u4eba\u3092\u62db\u8058\u3057\u3066\u3044\u308b\u3093\u3060\u611f\u304c\u9ad8\u304b\u3063\u305f<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3 id=\"keynote\"><a href=\"https:\/\/pycon.jp\/2014\/\">Keynote<\/a><\/h3>\n<ul>\n<li>Kenneth Reitz\u3055\u3093\n<ul>\n<li>Heroku<\/li>\n<li>PSF\u306e\u4e2d\u306e\u4eba<\/li>\n<\/ul>\n<\/li>\n<li>\u611f\u60f3\n<ul>\n<li>\u5b89\u5b9a\u3068\u5909\u5316\u306e\u30d0\u30e9\u30f3\u30b9\u306e\u96e3\u3057\u3055\u3092\u518d\u8a8d\u8b58\u3055\u305b\u3089\u308c\u308b\u8a71\u3060\u3063\u305f\u3002<\/li>\n<li>Python\u958b\u767a\u306e\u4e2d\u5fc3\u306b\u3044\u308b\u4eba\u305f\u3061\u306f\u65e9\u3081\u306bPython 3\u306b\u79fb\u884c\u3057\u3066\u3082\u3089\u3044\u305f\u3044\u3044\u306e\u3060\u308d\u3046\u3002<\/li>\n<li>\u8a00\u8a9e\u3092\u9078\u3076\u3088\u308a\u3001\u8a00\u8a9e\u306e\u4e2d\u306e\u30b3\u30df\u30e5\u30cb\u30c6\u30a3\u3092\u9078\u3076\u65b9\u304c\u3001\u958b\u767a\u306e\u6642\u306b\u5e78\u305b\u306b\u306a\u308c\u305d\u3046\u306a\u6c17\u304c\u3057\u3066\u3044\u308b\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u8ef8\n<ul>\n<li>Self<\/li>\n<li>Time<\/li>\n<li>Other<\/li>\n<li>Space<\/li>\n<\/ul>\n<\/li>\n<li>\u305d\u3082\u305d\u3082Languae\u3060\u3088\u306d\n<ul>\n<li>Python\u306e\u524d\u306b\u96c6\u3063\u3066\u3044\u308b<\/li>\n<li>\u81ea\u7136\u8a00\u8a9e\u306e\u3088\u3046\u306b\u4eca\u65e5\u306f\u6271\u3063\u3066\u307f\u308b<\/li>\n<\/ul>\n<\/li>\n<li>\u8a00\u8449\u306e\u6b74\u53f2\n<ul>\n<li>\u8a00\u8449\u3092\u901a\u3058\u3066\u8003\u3048\u3066\u3044\u308b\u4e8b\u3092\u4eba\u306b\u4f1d\u3048\u3066\u3044\u308b<\/li>\n<li>\u6642\u9593\u3068\u3068\u3082\u306b\u8003\u3048\u3092\u4fdd\u5b58\u3057\u3066\u4f1d\u627f\u3067\u304d\u308b<\/li>\n<li>\u3068\u3063\u3066\u3082\u7d20\u6674\u3089\u3057\u3044\u4e8b\u3060\u3088\u306d\uff01<\/li>\n<li>\u4eba\u3068\u3044\u3046\u30cf\u30fc\u30c9\u306f\u5909\u308f\u3063\u3066\u3044\u306a\u3044\u3051\u3069\u3001\u30b9\u30ad\u30eb\u3092\u901a\u3058\u3066\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u3092\u30a2\u30c3\u30d7\u30c7\u30fc\u30c8\u3057\u3066\u3044\u308b\u3002<\/li>\n<\/ul>\n<\/li>\n<li>1-to?1\n<ul>\n<li>\u5b9f\u969b\u3067\u306f\u3082\u3063\u3068\u591a\u304f\u306e\u4eba\u3068\u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30b7\u30e7\u30f3\u3057\u3066\u3044\u308b<\/li>\n<li>\u30a8\u30b8\u30d7\u30c8\u306e\u77f3\u76e4<\/li>\n<\/ul>\n<\/li>\n<li>1-to-many\n<ul>\n<li>\u5370\u5237\u6a5f\u306e\u767a\u660e<\/li>\n<li>\u3072\u3068\u308a\u304c\u4f55\u5343\u306e\u4eba\u3068\u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30b7\u30e7\u30f3\u3067\u304d\u308b\u3001\u3053\u308c\u306f\u9769\u547d\u3002<\/li>\n<li>\u65b0\u805e\u3001\u672c\u3001\u30c6\u30ec\u30d3\u3001\u30e9\u30b8\u30aa\u3001\u7b49\u3002<\/li>\n<\/ul>\n<\/li>\n<li>many-to-many\n<ul>\n<li>the Internet !<\/li>\n<li>\u5168\u3066\u306e\u4e16\u754c\u304b\u3089\u60c5\u5831\u306b\u30a2\u30af\u30bb\u30b9\u3067\u304d\u308b\u3002<\/li>\n<li>\u5927\u898f\u6a21\u3060(huge)<\/li>\n<\/ul>\n<\/li>\n<li>\u7a7a\u9593(space)\n<ul>\n<li>\u77e5\u3089\u306a\u3044\u9593\u306b\u3001\u305f\u304f\u3055\u3093\u306e\u4eba\u3068\u30b3\u30e9\u30dc\u30ec\u30fc\u30b7\u30e7\u30f3\u3067\u304d\u308b\u7a7a\u9593\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u8ef8\u3092\u307e\u305f\u3050\u3082\u306e\n<ul>\n<li>\u69d8\u3005\u306a\u30c4\u30fc\u30eb\u304c\u3042\u308b<\/li>\n<li>\u30c6\u30af\u30ce\u30ed\u30b8\u30fc\u304c\u3042\u308b\u3088\u3046\u306b\u8a00\u8a9e\u304c\u3042\u308b<\/li>\n<\/ul>\n<\/li>\n<li>Python\u306e\u672a\u6765\u306b\u6050\u308c\u3092\u62b1\u3044\u3066\u3044\u308b\u3001\u602f\u3048\u3066\u3044\u308b\u3002\n<ul>\n<li>\u3053\u308c\u306f\u4e16\u754c\u306e\u5c06\u6765\u304c\u5371\u3076\u307e\u308c\u3066\u3044\u308b\u3002<\/li>\n<li>2\u30683\u306e\u5206\u65ad\u3055\u308c\u305f\u4e16\u754c<\/li>\n<li>(\u6319\u624b\u306e\u72b6\u6cc1\u304c2\u306e\u65b9\u304c\u6bd4\u8f03\u7684\u591a\u304b\u3063\u305f)<\/li>\n<li>3\u306f\u307f\u3093\u306a\u6016\u304c\u3063\u3066\u3044\u308b\u3001\u8a71\u8005\u3082\u4f7f\u3063\u3066\u306a\u3044\u3002<\/li>\n<li>Flask\u958b\u767a\u8005\u306b\u3088\u308b\u3068Unicodde ,Codex, and Friends\u306e\u7269\u4e8b\u3092\u3069\u308c\u3060\u3051\u7834\u58ca\u3057\u305f\u304b\u9577\u3044\u8a71\u304c\u3042\u3063\u305f<\/li>\n<li>Standard Library\u304c\u58ca\u308c\u3066\u3044\u3066\u8f9b\u3044(\u50d5\u81ea\u8eab\u3082\u8f9b\u3044)<\/li>\n<li>\u3053\u308a\u3083\u6b8b\u5ff5\u306a\u4e8b\u3060<\/li>\n<li>\u6539\u5584\u306f\u6bce\u65e5\u9032\u3093\u3067\u308b\u3051\u3069\u306d<\/li>\n<\/ul>\n<\/li>\n<li>\u306a\u305c\uff1f\n<ul>\n<li>Python 3\u306e\u30e6\u30fc\u30b6\u304c\u5c11\u306a\u3044\u304b\u3089<\/li>\n<li>(\u6319\u624b\u306e\u72b6\u6cc1\u3092\u898b\u3066\u3082\u308f\u304b\u308b\u3088\u306d\uff01)<\/li>\n<li>PyPi, pip\u306b\u5909\u66f4\u304c\u52a0\u308f\u3063\u305f\u2192\u5229\u7528\u3057\u3066\u3044\u308bPython\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u306b\u3088\u3063\u3066\u5207\u308a\u66ff\u3048\u308b\u4ed5\u7d44\u307f\u304c\u3067\u304d\u305f<\/li>\n<li>2\u9031\u9593\u3067\u30012\u306f81\u767e\u4e07\u30013\u767e\u4e07\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3002\u504f\u308a\u304c\u3042\u308b\u306e\u304c\u308f\u304b\u308b\u3088\u306d\uff1f\u3053\u308c\u304c\u73fe\u5b9f\u3002<\/li>\n<li>(\u52d5\u304b\u306a\u3044\u2192\u4f7f\u308f\u306a\u3044\u2192\u6539\u5584\u3055\u308c\u306a\u3044\u3001\u60aa\u5faa\u74b0\u3063\u307d\u3044\u3002)<br \/>\n&#8211;<\/li>\n<\/ul>\n<\/li>\n<li>Python 3\n<ul>\n<li>\u65b0\u3057\u3044\u4eba\u304c\u3001Python 3\u3092\u9078\u3073\u59cb\u3081\u3066\u3044\u308b\u3002<\/li>\n<li>\u521d\u3081\u3066\u3060\u304b\u3089\u3001\u9078\u629e\u3059\u308b\u4e8b\u304c\u3067\u304d\u308b\u3002<\/li>\n<li>\u65e2\u5b58\u306e\u78ba\u7acb\u3055\u308c\u305f\u30b3\u30df\u30e5\u30cb\u30c6\u30a3\u3068\u306f\u9055\u3046\u3002<\/li>\n<li>\u958b\u767a\u8005\u3001Python\u306e\u30b3\u30df\u30e5\u30cb\u30c6\u30a3\u306e\u9593\u306b\u3082\u65ad\u7d76\u304c\u3042\u308b\u3002<\/li>\n<li>\u88fd\u54c1\u3092\u958b\u767a\u3059\u308b\u6642\u306e\u30de\u30fc\u30b1\u30c3\u30c8\u306e\u554f\u984c\u3002<\/li>\n<li>2\u30683\u30672\u500d\u306e\u30e1\u30f3\u30c6\u30b3\u30b9\u30c8\u3002\u8f9b\u3044\u3002<\/li>\n<li>\u5206\u88c2\u304c\u4fc3\u9032\u3055\u308c\u3066\u3044\u308b\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u3053\u308c\u306f\u8cb4\u65b9\u306e\u554f\u984c\u3067\u3059\n<ul>\n<li>\u540c\u6642\u306b\u3042\u306a\u305f\u65b9\u304c\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\u3002<\/li>\n<li>2\u3064\u306e\u3082\u306e\u304c1\u3064\u306b\u306a\u308b\u3002<\/li>\n<li>\u77e5\u8b58\u3068\u611b\u3002<\/li>\n<li>\u76f4\u63a5\u4f53\u9a13\u3057\u3066\u81ea\u5206\u3067\u6c7a\u3081\u3066\u307b\u3057\u3044\u3002<\/li>\n<li>Python 3\u3092\u4f7f\u3063\u3066\u3001\u4f55\u304b\u3042\u308c\u3070\u30d6\u30ed\u30b0\u3092\u66f8\u3053\u3046\u305c\u3002\u4f53\u9a13\u3092\u5171\u6709\u3057\u3088\u3046\u3002<\/li>\n<li>Python 3\u306e\u98df\u308f\u305a\u5acc\u3044\u306f\u3084\u3081\u3088\u3046\u3002<\/li>\n<li>\u9759\u304b\u306b\u3001\u4f55\u304b\u3092\u5f85\u3063\u3066\u3044\u308b\u306e\u306f\u826f\u304f\u306a\u3044\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u8cea\u7591\n<ul>\n<li>Q: Perl5\/6\u306e\u554f\u984c\u3068\u306b\u3066\u308b\u3051\u3069\u3001\u3042\u3063\u3061\u306fPerl6\u306f\u5225\u306e\u3082\u306e\u3068\u3057\u3066\u5206\u304b\u308c\u305f\u3002Python\u306f\u5206\u304b\u308c\u305a\u306b\u53ce\u675f\u3057\u3066\u3044\u3053\u3046\u3068\u3057\u3066\u3044\u308b\u3051\u3069\u3001\u3069\u3046\u3057\u3066\uff1f<\/li>\n<li>A: \u5909\u63db\u306f\u3067\u304d\u308b\u30d1\u30ef\u30d5\u30eb\u306a\u30c4\u30fc\u30eb\u306f\u3042\u308b\u3051\u3069\u3001\u305d\u308c\u3060\u3051\u3067\u306f\u9593\u306b\u5408\u308f\u306a\u3044\u3002\u3060\u304b\u3089\u3001\u591a\u304f\u306e\u4eba\u304c\u3069\u3061\u3089\u306b\u3082\u5bfe\u5fdc\u3067\u304d\u308b\u30b3\u30fc\u30c9\u3092\u66f8\u304f\u3088\u3046\u306b\u306a\u3063\u3066\u304d\u305f\u3002\u3067\u3082\u3001\u305d\u308c\u3063\u3066\u826f\u304f\u306a\u3044\u3002Python 3\u306e\u5229\u70b9\u304c\u6d3b\u304b\u305b\u306a\u3044\u3002<\/li>\n<li>\u540c\u6642\u306b\u307f\u3093\u306a\u304cPython 2\u3092\u3084\u3081\u30663\u306b\u79fb\u884c\u3059\u308b\u306a\u3089\u3044\u3044\u3051\u3069\u3001\u305d\u3093\u306a\u308f\u3051\u306b\u306f\u3044\u304b\u306a\u3044\u3002<\/li>\n<li>PSF\u3067\u306f2.8\u306f\u306a\u3044\u3068\u6c7a\u3081\u3066\u3044\u308b\u3002\u305f\u3060\u3001\u3082\u3063\u3068\u3044\u3044\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\u304c\u3042\u308c\u3070\u3044\u3044\u3002<\/li>\n<li>\u3054\u81ea\u8eab\u306e\u610f\u898b\u3092\u307f\u3093\u306a\u6301\u3063\u3066\u307b\u3057\u3044\u3002<\/li>\n<li>Q: \u540c\u6642\u306b\u3069\u3063\u3061\u3082\u30b5\u30dd\u30fc\u30c8\u3059\u308b\u306e\u306f\u8f9b\u3044\u306e\u306f\u77e5\u3063\u3066\u308b\u3068\u601d\u3046\u3002\u3067\u3001Python 3\u3067\u66f8\u304f\u30e1\u30ea\u30c3\u30c8\u3068\u306f\uff1f<\/li>\n<li>A: \u306a\u3044\u2026\u306a(\u3053\u3053\u3067\u4e00\u540c\u7206\u7b11)\u3002\u3067\u3082\u3001\u3044\u308d\u3044\u308d\u3044\u3044\u3082\u306e\u306f\u5165\u3063\u3066\u308b\u3088\u306d\u3002\u4ed6\u306e\u8a00\u8a9e\u3067\u3067\u304d\u308b\u65b0\u3057\u3044\u4e8b\u3082\u3067\u304d\u308b\u3002\u30a8\u30ad\u30b5\u30a4\u30c6\u30a3\u30f3\u30b0\u3060\u3001\u3067\u3082\u3001\u540c\u6642\u306b\u2026\u3053\u3053\u30672\u3092\u304d\u3063\u3071\u308a\u3084\u3081\u308b\u4e8b\u3082\u3080\u305a\u3044\u3002<\/li>\n<li>Q: \u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u3092\u3084\u3063\u3066\u308b\u3093\u3060\u3051\u308c\u3069\u3001C, C++\u306e\u3088\u3046\u306a\u6a19\u6e96\u5316\u306f\u884c\u308f\u308c\u308b\u306e\uff1fPython\u306e\u6a19\u6e96\u5316\u6d3b\u52d5\u3063\u3066\u3042\u308b\u306e\uff1f\u9577\u671f\u7684\u306aPJ\u3067\u306f\u3001\u305d\u3046\u3042\u3063\u305f\u307b\u3046\u304c\u3044\u3044\u3002<\/li>\n<li>A: Python 2.7\u306f\u4eca\u5f8c10\u5e74\u5909\u308f\u3089\u306a\u3044(\u591a\u5206RedHat\u304c\u30b5\u30dd\u30fc\u30c8\u3059\u308b\u4e8b\u306f\u8e0f\u307e\u3048\u3089\u308c\u3066\u3044\u308b\u3093\u3060\u3068\u601d\u3046)\u304b\u3089\u3001\u305d\u308c\u3092\u9078\u3076\u306e\u306f\u3069\u3046\uff1f2\u7cfb\u304c\u3044\u3044\u3068\u601d\u3046\u3088\u3002<\/li>\n<li>Q: 2\u3064\u76ee\u306e\u8cea\u554f\u306b\u8fd1\u3044\u3093\u3060\u304c\u3001Python 3\u3092\u4f7f\u304a\u3046\u3068\u8a00\u3044\u306a\u304c\u30892\u3092\u4f7f\u3063\u3066\u3044\u308b\u3002\u30af\u30ea\u30a2\u306a\u30b3\u30df\u30e5\u30cb\u30b1\u30fc\u30b7\u30e7\u30f3\u304c\u884c\u308f\u308c\u3066\u3044\u306a\u3044\u30013\u306e\u65b9\u5411\u6027\u3082\u3088\u304f\u308f\u304b\u3089\u3093\u3002\u60b2\u89b3\u4e3b\u7fa9\u7684\u306a\u8a71\u3092\u5531\u3048\u3066\u3044\u308b\u306e\u3067\u306f\u306a\u304f\u3066\u3001\u30af\u30ea\u30a2\u306a\u30d3\u30b8\u30e7\u30f3\u3082\u96e3\u3057\u3044\u3068\u601d\u3046\u3002\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u6570\u3092\u898b\u308a\u3083\u308f\u304b\u308b\u3067\u3057\u3087\u3046\u3002<\/li>\n<li>A: \u30b3\u30a2\u958b\u767a\u8005\u3068\u8a71\u3092\u3059\u308b\u3068\u300110\u5e74\u304b\u304b\u308b\u304b\u3082\u3057\u308c\u306a\u3044\u304c\u5bfe\u3057\u305f\u4e8b\u306f\u306a\u3044\u3055\u3001\u3068\u8a71\u984c\u306b\u306a\u3063\u3066\u3044\u308b\u3002\u53c2\u52a0\u3057\u3066\u3001\u767a\u8a00\u3057\u3066\u884c\u304f\u3053\u3068\u304c\u5fc5\u8981\u3002\u30b3\u30a2\u958b\u767a\u8005\u306f\u6570\u5024\u3092\u3042\u307e\u308a\u6c17\u306b\u3057\u3066\u3044\u306a\u3044\u3002\u8a00\u8a9e\u306e\u6539\u5584\u3092\u8003\u3048\u3066\u3044\u308b\u3002\u305d\u306e\u5bfe\u7acb\u304c\u5206\u65ad\u3092\u5f15\u304d\u8d77\u3053\u3057\u3066\u3044\u308b\u3002\u79c1\u304c\u7406\u60f3\u7684\u306a\u72b6\u6cc1\u3068\u306f\u3001\u307f\u3093\u306a\u304c2.7\u3092\u4f7f\u3044\u30013\u306f\u5fd8\u308c\u308b\u3063\u3066\u306e\u304c\u3044\u3044\u3068\u601d\u3046\u3002\u305f\u3060\u3001\u516c\u5f0f\u306a\u610f\u898b\u306f\u78ba\u7acb\u3055\u308c\u3066\u884c\u304f\u5fc5\u8981\u306f\u3042\u308b\u3088\u306d\u3002<\/li>\n<li>\u79c1\u306f3\u3092\u5acc\u3044\u306b\u306a\u3063\u3066\u3082\u3044\u3044\u3068\u601d\u3046\u3002<\/li>\n<li>Q: 2\u30683\u3067\u9055\u3046\u898b\u65b9\u306a\u306e\u3060\u304c\u30011\u5e74\u524d\u306b3\u304c\u9078\u629e\u80a2\u3068\u306a\u308b\u8a71\u304c\u51fa\u59cb\u3081\u3066\u3001\u3053\u3053\u6700\u8fd1\u4e92\u63db\u6027\u304c\u554f\u984c\u306b\u306a\u3063\u3066\u304d\u305f\u3002Ubuntu, Debian\u304c3\u304c\u30c7\u30d5\u30a9\u30eb\u30c8\u306b\u306a\u3063\u3066\u5897\u3048\u305f\u3063\u307d\u3044\u30022\u304b\u30893\u306b\u5fc5\u8981\u306a\u3082\u306e\u3092\u30dd\u30fc\u30c6\u30a3\u30f3\u30b0\u3059\u308a\u3083\u3044\u3044\u6c17\u304c\u3059\u308b\u3051\u3069\u3002<\/li>\n<li>A: \u305d\u308c\u3067\u3044\u3044\u3068\u601d\u3046\u3002<\/li>\n<li>Q: Ruby\u3068Python\u306e\u6bd4\u8f03<\/li>\n<li>A: Ruby\u306e\u5834\u5408\u306f1.8\u21921.9\u306e\u5909\u5316\u306f\u6025\u3060\u3063\u305f\u3002Ruby\u3068Python\u306f\u3060\u3044\u3076\u9055\u3063\u3066\u3044\u3066\u3001Python\u306f\u3053\u308c\u307e\u3067stable\u3067\u5f8c\u65b9\u4e92\u63db\u3092\u4fdd\u3064\u3088\u3046\u306b\u3057\u3066\u3044\u3066\u3001\u5b89\u5b9a\u3057\u3066\u3044\u305f\u3002\u3053\u306e\u6b74\u53f2\u304c\u3001\u79d1\u5b66\u7684\u306a\u80cc\u666f\u304c\u3042\u3063\u305f\u3002Ruby\u306e\u5909\u5316\u306f\u3068\u3066\u3082\u65e9\u3044\u3001\u30dd\u30a4\u30f3\u30c8\u30ea\u30ea\u30fc\u30b9\u3082\u9055\u3046\u3001\u30d1\u30c3\u30c1\u308a\u30ea\u30fc\u30b9\u3067\u3082\u9055\u3046\u3001\u3067\u3082\u305d\u3046\u8a00\u3046\u306e\u306b\u6163\u308c\u3066\u3044\u308b\u304b\u3089\u5927\u304d\u306a\u5909\u5316\u306b\u3082\u6163\u308c\u3066\u3044\u308b\u3002\u305d\u308c\u304cRuby\u306e\u6587\u5316\u3002\u3067\u3082\u3001Python\u3067\u306f\u305d\u3093\u306a\u5909\u5316\u306b\u3042\u307e\u308a\u5bfe\u5fdc\u3067\u304d\u306a\u3044\u3002Ruby\u306f\u5909\u5316\u3092\u697d\u3057\u3093\u3067\u3044\u308b\u306e\u306f\u3044\u3044\u3057\u3001Python 2,3\u3067\u3082\u305d\u308c\u304c\u3067\u304d\u308c\u3070\u3044\u3044\u306a\u3068\u601d\u3046\u3002\u50d5\u3089\u3082\u6163\u308c\u3066\u884c\u304f\u4e8b\u3082\u5fc5\u8981\u3060\u3068\u8003\u3048\u3066\u3044\u308b\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3 id=\"programmingtheperformanceco-pilottoolkit\"><a href=\"https:\/\/pycon.jp\/2014\/schedule\/presentation\/7\/\">Programming the Performance Co-Pilot toolkit<\/a><\/h3>\n<ul>\n<li>Nathan Scott\u3055\u3093\n<ul>\n<li>RedHat\u306e\u306a\u304b\u306e\u3072\u3068<\/li>\n<\/ul>\n<\/li>\n<li>\u611f\u60f3\n<ul>\n<li>PCP\u77e5\u3089\u306a\u304f\u3066\u4e0d\u52c9\u5f37\u3060\u3063\u305f\u3053\u3068\u3092\u53cd\u7701\u3059\u308b\u3002<\/li>\n<li>Python\u3067\u62e1\u5f35\u3067\u304d\u308b\u306e\u306f\u306a\u304b\u306a\u304b\u826f\u3044\u3002<\/li>\n<li>\u305d\u3057\u3066\u30ea\u30e2\u30fc\u30c8\u30db\u30b9\u30c8\u304b\u3089\u306e\u30c7\u30fc\u30bf\u3082\u53d6\u5f97\u3067\u304d\u308b\u70b9\u3082\u975e\u5e38\u306b\u3044\u3044\u3002<\/li>\n<li>\u691c\u8a3c\u6642\u306e\u30e1\u30c8\u30ea\u30af\u30b9\u53d6\u5f97\u306b\u3082\u3063\u3066\u3053\u3044\u3068\u601d\u308f\u308c\u308b\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u4eca\u65e5\u306e\u304a\u8a71\n<ul>\n<li>PCP (<a href=\"http:\/\/www.pcp.io\/\">Performance Co-Pilot<\/a>)\n<ul>\n<li>\u5168\u5bb9<\/li>\n<li>\u8a73\u7d30<\/li>\n<\/ul>\n<\/li>\n<li>Python\u62e1\u5f35\n<ul>\n<li>\u30b3\u30ec\u30af\u30bf<\/li>\n<li>\u30e2\u30cb\u30bf\u30fc<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<li>PCP\u3068\u306f\n<ul>\n<li>\u30aa\u30fc\u30d7\u30f3\u30bd\u30fc\u30b9\u306e <strong>\u30c4\u30fc\u30eb\u96c6<\/strong><\/li>\n<li>\u30b7\u30b9\u30c6\u30e0\u30a2\u30ca\u30ea\u30b7\u30b9<\/li>\n<li>\u30e9\u30a4\u30d6\u3067\u5c65\u6b74\u3092\u3068\u308c\u308b<\/li>\n<li>\u62e1\u5f35\u6027\u304c\u9ad8\u3044<\/li>\n<li>\u5206\u6563\u3067\u304d\u308b<\/li>\n<\/ul>\n<\/li>\n<li>\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\n<ul>\n<li>pmlogger\n<ul>\n<li>\u5404\u7a2e\u30df\u30c9\u30eb\u30a6\u30a7\u30a2\u3001\u30ab\u30fc\u30cd\u30eb\u304b\u3089\u62fe\u3063\u3066\u304f\u308b\u3002<\/li>\n<\/ul>\n<\/li>\n<li>pmchart\n<ul>\n<li>\u30d3\u30b8\u30e5\u30a2\u30e9\u30a4\u30ba<\/li>\n<\/ul>\n<\/li>\n<li>pmie\n<ul>\n<li>\u30a4\u30f3\u30bf\u30d5\u30a7\u30fc\u30b9\u3001\u3053\u306d\u304f\u308a\u56de\u3059\u6642\u306b\u306f\u3053\u3044\u3064\u3092\u4f7f\u3046\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<li>\u30e1\u30c8\u30ea\u30c3\u30af\n<ul>\n<li>pminfo \u30b3\u30de\u30f3\u30c9\n<ul>\n<li>\u30c7\u30fc\u30bf\u62fe\u3046\u6642\u306b\u4f7f\u3046<\/li>\n<li>Sensu\u30e1\u30c8\u30ea\u30c3\u30af\u3092\u62fe\u3046\u6642\u306e\u540d\u524d\u306b\u306b\u3066\u308b\u3063\u307d\u3044\u306a<\/li>\n<\/ul>\n<\/li>\n<li>Collector extentions in Python\n<ul>\n<li>\u76ee\u6a19: new dmcache metrics<\/li>\n<li>dmcache\u306e\u63a8\u79fb\u304c\u308f\u304b\u3063\u3066\u30ad\u30e3\u30c3\u30b7\u30e5\u3042\u305f\u308a\u306e\u8ffd\u8de1\u3092\u3059\u308b\u306e\u306b\u3088\u3055\u305d\u3046<\/li>\n<li>\u304b\u306a\u308a\u5bc6\u306a\u5358\u4f4d\u3067\u3068\u308c\u308b\u3063\u307d\u3044\u306a 1\u79d2\u5358\u4f4d\u304c\u3042\u308b<\/li>\n<\/ul>\n<\/li>\n<li>git clone git.pcp.io\/pcp \u304b\u3089\u3069\u3046\u305e\u3002<\/li>\n<li>\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u30ac\u30a4\u30c9\u30d6\u30c3\u30af\u3082\u3042\u308a\u307e\u3059<\/li>\n<li>pmchart\u306fJava\u3063\u307d\u3044<\/li>\n<\/ul>\n<\/li>\n<li>\u8cea\u554f\u3057\u305f\n<ul>\n<li>Q: \u30ea\u30e2\u30fc\u30c8\u30b7\u30b9\u30c6\u30e0\u304b\u3089\u30c7\u30fc\u30bf\u306f\u53d6\u308c\u308b\u306e\uff1f<\/li>\n<li>A: \u3067\u304d\u307e\u3059\u3002Cisco\u306e\u30eb\u30fc\u30bf\u30fc\u3068\u304b\u306e\u30c7\u30fc\u30bf\u3092\u3001TCP\/IP\u7d4c\u7531\u3067\u3068\u308c\u307e\u3059\u3002<\/li>\n<li>\u82f1\u8a9e\u306e\u8cea\u554f\u7dca\u5f35\u3057\u305f<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3 id=\"gunicornthethunderingherdandotherconcurrencyprogrammingchallenges\"><a href=\"https:\/\/pycon.jp\/2014\/schedule\/presentation\/26\/\">Gunicorn, the thundering herd and other concurrency programming challenges<\/a><\/h3>\n<ul>\n<li>Benoit Chesneau\u3055\u3093\n<ul>\n<li>gunicorn\u958b\u767a\u8005<\/li>\n<\/ul>\n<\/li>\n<li>\u611f\u60f3\n<ul>\n<li>gunicorn\u958b\u767a\u8005\u672c\u4eba\u304b\u3089\u8a71\u304c\u805e\u3051\u308b\u4e8b\u304c\u8cb4\u91cd\u3002<\/li>\n<li>\u82f1\u8a9e\u3067\u5f8c\u3067\u8a71\u306b\u884c\u3051\u306a\u3044\u306e\u3001\u3044\u308d\u3044\u308d\u640d\u3057\u3066\u3044\u308b\u6c17\u304c\u3057\u3066\u3044\u308b\u3002<\/li>\n<\/ul>\n<\/li>\n<li>gunicorn = \u3058\u3085\u306b\u3053\u30fc\u3093<\/li>\n<li>\u30c7\u30b6\u30a4\u30f3\n<ul>\n<li>prefork-worker\u30e2\u30c7\u30eb<\/li>\n<li>\u30bd\u30b1\u30c3\u30c8\u5171\u6709 (spawn-share sockets)<\/li>\n<\/ul>\n<\/li>\n<li>\u30bd\u30b1\u30c3\u30c8\u5171\u6709\n<ul>\n<li>arbiter\u304cworker\u306bspawn\u3059\u308b\u3001\u3088\u304f\u3042\u308b\u8a71\u3002Unicorn\u3068\u5909\u308f\u3089\u3093\u3002<\/li>\n<li>copmetiton to accept (\u7af6\u5408\u7ba1\u7406)\n<ul>\n<li>\u30d0\u30c3\u30af\u30ed\u30b0\u306b\u6e9c\u3081\u8fbc\u3080<\/li>\n<li>\u540c\u671f\u30ef\u30fc\u30ab\u30fc\u306f1\u63a5\u7d9a\u307e\u3067<\/li>\n<li>\u975e\u540c\u671f\u30ef\u30fc\u30ab\u30fc\u306f\u3044\u304f\u3064\u3082\u306e\u30b3\u30cd\u30af\u30b7\u30e7\u30f3\u3092\u652f\u3048\u3089\u308c\u308b<\/li>\n<\/ul>\n<\/li>\n<li>\u30ef\u30fc\u30af\u30d5\u30ed\u30fc<\/li>\n<\/ul>\n<\/li>\n<li>\u306a\u3093\u3067\u3044\u308d\u3044\u308d\u306a\u30ef\u30fc\u30ab\u30fc\u304c\uff1f\n<ul>\n<li>\u540c\u6642\u63a5\u7d9a\u306e\u6226\u7565<\/li>\n<li>\u9055\u3046\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u306e\u30b5\u30dd\u30fc\u30c8<\/li>\n<li>WSGI\u4ee5\u5916\u306b\u30cf\u30f3\u30c9\u30eb\u3057\u3066\u307b\u3057\u3044<\/li>\n<li>\u3044\u308d\u3044\u308d<\/li>\n<\/ul>\n<\/li>\n<li>The thundering herd problem\n<ul>\n<li>\u91cd\u305f\u3044\u51e6\u7406\u304c\u5f15\u3063\u304b\u304b\u308b\u3068\u5168\u3066\u306e\u51e6\u7406\u304c\u5f15\u3063\u304b\u304b\u3063\u3066\u3057\u307e\u3046<\/li>\n<li>\u5bfe\u7b56\n<ul>\n<li>\uff03<a href=\"https:\/\/github.com\/benoitc\/gunicorn\/issues\/792\">792<\/a> \u53c2\u7167<\/li>\n<li>\u30d1\u30a4\u30d7\u3092\u901a\u3058\u3066\u30b7\u30b0\u30ca\u30eb\u3092\u3084\u308a\u53d6\u308a Worker\u30d7\u30ed\u30bb\u30b9\u306e\u72b6\u614b\u3092\u805e\u3044\u3066\u307e\u308f\u3063\u3066\u3044\u308b\u6a21\u69d8<\/li>\n<li>arbiter\u304c\u30bd\u30b1\u30c3\u30c8\u306e\u8aad\u307f\u8fbc\u307f\u304c\u53ef\u80fd\u304b\u30c1\u30a7\u30c3\u30af<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<li>One command to rule them all\n<ul>\n<li>gunicorn_\u307b\u3052\u307b\u3052 \u3068\u304b\u66f8\u304b\u306a\u304f\u3066\u3044\u3044\u3088\uff01<\/li>\n<li>\u30d7\u30ea\u30ed\u30fc\u30c9\u554f\u984c\u306f\u76f4\u3057\u307e\u3057\u305f<\/li>\n<li>?paste, ?pythonpath, ?env \u3092\u30b5\u30dd\u30fc\u30c8\u3057\u307e\u3057\u305f<\/li>\n<li>20\u500b\u306e\u5f15\u6570\u3067\u3059 (\u975e\u63a8\u5968\u306f\u52d8\u5b9a\u3057\u3066\u3044\u306a\u3044)<\/li>\n<\/ul>\n<\/li>\n<li>Enhance the user experience\n<ul>\n<li>\uff03<a href=\"https:\/\/github.com\/benoitc\/gunicorn\/issues\/837\">837<\/a> \u53c2\u7167<\/li>\n<li>plugin everywhere: logging, workers<\/li>\n<li>more embeddable: the gunicorn engine<\/li>\n<li>https:\/\/github.com\/gunicorn\/ \u306b\u79fb\u308a\u307e\u3059<\/li>\n<li>2014\/12\u307e\u3067\u306b\u3084\u308a\u307e\u3059\uff01\uff01\uff01<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3 id=\"datacollectionanalysisandoptimizationwithpython\"><a href=\"https:\/\/pycon.jp\/2014\/schedule\/presentation\/36\/\">Data collection, analysis and optimization with python<\/a><\/h3>\n<ul>\n<li>Shinji Iwaki\u3055\u3093\n<ul>\n<li>@shinji071<\/li>\n<li>\u69cb\u9020\u8a08\u753b\u30a8\u30f3\u30b8\u30cb\u30a2\u30ea\u30f3\u30b0<\/li>\n<li>Python\u6b74 1.5\u5e74<\/li>\n<\/ul>\n<\/li>\n<li>\u611f\u60f3\n<ul>\n<li>iPython\u306e\u30c7\u30e2\u30f3\u30b9\u30c8\u30ec\u30fc\u30b7\u30e7\u30f3\u3068\u3057\u3066\u898b\u3066\u3044\u3066\u3082\u975e\u5e38\u306b\u8208\u5473\u6df1\u304b\u3063\u305f\u3002<\/li>\n<li>Python\u304c\u66f8\u3051\u308b\u306a\u3089\u3001\u7121\u7406\u306bR\u3067\u30c7\u30fc\u30bf\u5206\u6790\u306b\u53d6\u308a\u7d44\u307e\u305a\u3068\u3082\u3001\u30c7\u30fc\u30bf\u5206\u6790\u306b\u53d6\u308a\u7d44\u3081\u308b\u4e8b\u304c\u308f\u304b\u3063\u305f\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u81a8\u5927\u306a\u30c7\u30fc\u30bf\u306e\u8a08\u7b97\u3069\u3046\u3059\u3063\u307a\n<ul>\n<li>\u307e\u305a\u3001\u5168\u4f53\u306e\u69cb\u9020\u53ca\u3073\u30e9\u30a4\u30d6\u30e9\u30ea\u69cb\u6210\u3092\u7d39\u4ecb\u3002<\/li>\n<li>\u6700\u9069\u5316<\/li>\n<\/ul>\n<\/li>\n<li>\u30c7\u30fc\u30bf\u53ce\u96c6\n<ul>\n<li>HTML\u3092\u304b\u304d\u96c6\u3081\u308b<\/li>\n<li>BeautifulSoup4\u3067\u89e3\u6790(\u30b9\u30af\u30ec\u30a4\u30d4\u30f3\u30b0)\n<ul>\n<li>\u6642\u9593\u30fb\u30bf\u30a4\u30c8\u30eb\u30fb\u51fa\u6f14\u8005\u3092\u3068\u308b (\u4fa1\u683c.com\u306e\u30c6\u30ec\u30d3\u756a\u7d44\u6b04)<\/li>\n<li>\u51fa\u6f14\u8005\u306e\u51fa\u6f14\u983b\u5ea6\u3092\u51fa\u3057\u3066\u307f\u308b<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<li>\u30c7\u30fc\u30bf\u5206\u6790\n<ul>\n<li>pandas<\/li>\n<li>skleam<\/li>\n<li>\u305d\u3057\u3066\u30d3\u30b8\u30e5\u30a2\u30e9\u30a4\u30bawww<\/li>\n<li>k-means\u6cd5\u306b\u3088\u308b\u51fa\u6f14\u8005\u306e\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0<\/li>\n<\/ul>\n<\/li>\n<li>\u6700\u9069\u5316\n<ul>\n<li><a href=\"https:\/\/code.google.com\/p\/pulp-or\/\">pulp<\/a>\n<ul>\n<li>LP modeler<\/li>\n<li>\u7dda\u5f62\u8a08\u753b\u6cd5\u3092\u89e3\u304f\u30e9\u30a4\u30d6\u30e9\u30ea \u3044\u308d\u3044\u308d\u3042\u308b\u3093\u3067\u3059\u306a\u30fc<\/li>\n<li>\u30ca\u30c3\u30d7\u30b5\u30c3\u30af\u554f\u984c\u3092\u89e3\u304f\u3068\u304b<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<li>\u8cea\u554f\n<ul>\n<li>Q: GA\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u3063\u3066\uff1f<\/li>\n<li>A: scipy\u3068\u304b\u3001\u3067\u3082\u3042\u3093\u307e\u3064\u304b\u3063\u3066\u306a\u3044\u306a\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3 id=\"effectivenumericalcomputationinnumpyandscipy\"><a href=\"https:\/\/pycon.jp\/2014\/schedule\/presentation\/18\/\">Effective numerical computation in Numpy and Scipy<\/a><\/h3>\n<ul>\n<li>Kimikazu Kato\u3055\u3093\n<ul>\n<li>Egg technology \u306b\u52e4\u52d9<\/li>\n<li>CS\u306ePh.D<\/li>\n<li>Python\u66a6 2\u5e74\u672a\u6e80<\/li>\n<li>\u79d1\u5b66\u8a08\u7b97\u6b74\u306f10\u5e74\u4ee5\u4e0a\u3063\u307d\u3044<\/li>\n<\/ul>\n<\/li>\n<li>\u611f\u60f3\n<ul>\n<li>\u884c\u5217\u5727\u7e2e\u3092\u81ea\u529b\u3067\u5b9f\u88c5\u3057\u3066\u3044\u305f\u4e8b\u304c\u3042\u308b\u304c\u3001\u3082\u3046\u305d\u3093\u306a\u4e8b\u3092\u3057\u306a\u304f\u3066\u826f\u3044\u306e\u306f\u52a9\u304b\u308b\u3002<\/li>\n<li>\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u306e\u7814\u7a76\u3092\u624b\u4f1d\u3063\u3066\u3044\u308b\u6642\u306b\u3001\u3053\u308c\u304c\u3042\u308c\u3070\u3069\u308c\u3060\u3051\u697d\u3060\u3063\u305f\u304b\u3068\u60f3\u3044\u3092\u99b3\u305b\u305f\u3002<\/li>\n<li>\u8b1b\u6f14\u4e2d\u3001\u3082\u3063\u3068\u6291\u63da\u304c\u3042\u308b\u8a71\u3057\u65b9\u304c\u3042\u308b\u3068\u6ce8\u610f\u3092\u5f15\u304d\u3084\u3059\u304f\u3066\u826f\u304b\u3063\u305f\u306e\u3067\u306f\u306a\u3044\u304b\u3002<\/li>\n<li>1\u3064\u5f8c\u306e\u30bb\u30c3\u30b7\u30e7\u30f3\u3068\u5165\u308c\u66ff\u3048\u305f\u65b9\u304c\u3001\u3088\u308a\u7406\u89e3\u304c\u6df1\u307e\u3063\u305f\u306e\u3067\u306f\u3068\u8003\u3048\u305f\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u6d41\u308c\n<ul>\n<li>NumMy\u306b\u3064\u3044\u3066\n<ul>\n<li>\u5c55\u958b<\/li>\n<li>\u30a4\u30f3\u30c7\u30af\u30b7\u30f3\u30b0<\/li>\n<\/ul>\n<\/li>\n<li>\u30b9\u30d1\u30fc\u30b9\u884c\u5217<\/li>\n<li>\u30b1\u30fc\u30b9\u30b9\u30bf\u30c7\u30a3<\/li>\n<\/ul>\n<\/li>\n<li>\u6570\u5024\u8a08\u7b97\u3092\u306a\u305cPython\u3067\uff1f\n<ul>\n<li>\u30d7\u30ed\u30c0\u30af\u30c6\u30a3\u30d3\u30c6\u30a3\u306e\u9ad8\u3055: \u66f8\u304d\u3084\u3059\u3044\u30fb\u30c7\u30d0\u30c3\u30b0\u3042\u3059\u3044<\/li>\n<li>\u30d3\u30b8\u30e5\u30a2\u30e9\u30a4\u30ba\u3057\u3084\u3059\u3044<\/li>\n<li>Web\u30b7\u30b9\u30c6\u30e0\u3068\u3064\u306a\u304e\u8fbc\u307f\u3084\u3059\u3044<\/li>\n<\/ul>\n<\/li>\n<li>\u3060\u3051\u3069\u3001Python\u306f\u9045\u3044\uff01\n<ul>\n<li>C\u3068Python\u3067\u306f80\u500d\u9055\u3046\u8a08\u7b97\u304c\u3042\u3063\u305f<\/li>\n<li>\u3060\u3051\u3069\u3001numpy\u3092\u4f7f\u3046\u3068\u2026C\u306b\u8fd1\u3044\u304f\u3089\u3044\u901f\u5ea6\u304c\u51fa\u305f\uff01<\/li>\n<li>\u307e\u3042\u3001Python\u304b\u3089C\u306b\u66f8\u304d\u63db\u3048\u308b\u3063\u3066\u306e\u306f\u5927\u5909\u3060\u3057\u306a\u3001\u3053\u3046\u8a00\u3046\u306e\u304c\u3042\u308b\u306a\u3089\u3044\u3044\u306d\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u306e\u809d\n<ul>\n<li>for\u306a\u3069\u306e\u30eb\u30fc\u30d7\u3092\u6e1b\u3089\u3059<\/li>\n<li>\u826f\u3044\u30e9\u30a4\u30d6\u30e9\u30ea\u304c\u3042\u308c\u3070\u4f7f\u304a\u3046\u305c<\/li>\n<li>\u30e1\u30e2\u30ea\u30b3\u30d4\u30fc\u306e\u30b3\u30b9\u30c8\u3068\u304b\u3001\u5fd8\u308c\u3066\u307e\u305b\u3093\uff1f(\u78ba\u304b\u306b\u30e4\u30d0\u3044)<\/li>\n<\/ul>\n<\/li>\n<li>\u30b9\u30d1\u30fc\u30b9\u884c\u5217\n<ul>\n<li>\u884c\u5217\u306e\u5727\u7e2e\u306e\u30e1\u30ea\u30c3\u30c8\u2192\u30e1\u30e2\u30ea\u7a7a\u9593\u306e\u524a\u6e1b\u3001\u8a08\u7b97\u91cf\u306e\u524a\u6e1b\u3002<\/li>\n<li>3\u3064\u306e\u30e1\u30bd\u30c3\u30c9\u2192[lil,scr,csc]_matrix<\/li>\n<li>\u3042\u308b\u8a08\u7b97\u306b\u304a\u3044\u3066 1000\u00d71000 \u306esparse matrix \u3067lil \u306f11.7 sec, cse 0.06 sec<\/li>\n<li>\u305f\u3060\u3001\u6027\u8cea\u3092\u719f\u77e5\u3057\u3066\u3044\u308b\u5834\u5408\u306f\u3001\u81ea\u529b\u3067\u66f8\u3044\u305f\u65b9\u304c\u65e9\u3044 <strong>\u5834\u5408<\/strong> \u3082\u3042\u308b\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3 id=\"introductiontoscientificprogramminginpython\"><a href=\"https:\/\/pycon.jp\/2014\/schedule\/presentation\/8\/\">Introduction to scientific programming in python<\/a><\/h3>\n<ul>\n<li>Olivier Hervieu\u3055\u3093\n<ul>\n<li>@<a href=\"http:\/\/twitter.com\/tinyclues\">tinyclues<\/a><\/li>\n<li>Python\u6b746\u5e74<\/li>\n<li><a href=\"https:\/\/speakerdeck.com\/ohe\/introduction-to-scientific-programming-in-python\">Slide<\/a><\/li>\n<\/ul>\n<\/li>\n<li>\u611f\u60f3\n<ul>\n<li>\u79d1\u5b66\u8a08\u7b97\u30e9\u30a4\u30d6\u30e9\u30ea\u306e\u30b5\u30fc\u30d9\u30a4\u767a\u8868\u3060\u3063\u305f\u3002<\/li>\n<li>matplotlib\u304c\u3042\u308c\u3070R\u3092\u4f7f\u308f\u306a\u304f\u3066\u3082\u30d3\u30b8\u30e5\u30a2\u30e9\u30a4\u30ba\u3067\u304d\u308b\u306a\u3068\u6539\u3081\u3066\u7406\u89e3\u3057\u305f\u3002<\/li>\n<li>\u4eca\u306e\u672c\u696d\u3067\u4f7f\u3046\u4e8b\u306f\u306a\u3044\u304c\u3001\u4ee5\u524d\u306f\u5fc5\u8981\u3060\u3063\u305f\u3057\u3001\u4eca\u5f8c\u307e\u305f\u5fc5\u8981\u306b\u306a\u308b\u304b\u3082\u3057\u308c\u306a\u3044\u306e\u3067\u3001\u6539\u3081\u3066\u52d5\u5411\u306f\u898b\u3066\u304a\u3053\u3046\u3068\u601d\u3063\u305f\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u3082\u3046\u3042\u3093\u305f\u3089\u306f\u79d1\u5b66\u8a08\u7b97\u30d7\u30ed\u30b0\u30e9\u30de\u3060\u3088\uff01\u3053\u3093\u306a\u306b\u30bb\u30c3\u30b7\u30e7\u30f3\u3042\u308b\u3057w<\/li>\n<li>\u4eca\u65e5\u306e\u8a71\n<ul>\n<li>\u79d1\u5b66\u8a08\u7b97\u30d7\u30ed\u30b0\u30e9\u30de\u5fc5\u643a\u306e\u30e9\u30a4\u30d6\u30e9\u30ea\u30fb\u30c4\u30fc\u30eb\u3092\u7d39\u4ecb\u3059\u308b\u3088\uff01<\/li>\n<li>\u88fd\u54c1\u5316\u306e\u305f\u3081\u306e\u6ce8\u610f\u70b9\u3092\u8a71\u3059\u3088<\/li>\n<\/ul>\n<\/li>\n<li>iPython\n<ul>\n<li>Must Use \u3060\u3063\u3066\u3055\u301c<\/li>\n<li>\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u30b7\u30a7\u30eb<\/li>\n<li>\u30d6\u30e9\u30a6\u30b6\u30d9\u30fc\u30b9\u3067\u5b9f\u884c\u53ef\u80fd \u3044\u308d\u3044\u308d\u30b5\u30dd\u30fc\u30c8\u3057\u3066\u308b<\/li>\n<li>\u7c21\u5358\u306b\u4f7f\u3048\u3066\u4e26\u5217\u8a08\u7b97\u6a5f\u3067\u3082\u9ad8\u3044\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u304c\u51fa\u305b\u308b<\/li>\n<li>Data collection, analysis and optimization with python\u3067\u3082\u4f7f\u3063\u3066\u305f<\/li>\n<li>\u30b3\u30e1\u30f3\u30c8\u306fHTML, LaTeX, Markdown\u7b49\u7b49\u306b\u4fdd\u5b58\u3067\u304d\u308b<\/li>\n<li>notebook\u306e\u30a8\u30af\u30b9\u30dd\u30fc\u30c8\u3082\u7c21\u5358<\/li>\n<\/ul>\n<\/li>\n<li>NumPy\n<ul>\n<li>(Effective numerical computation in Numpy and Scipy\u3067\u3082\u7d39\u4ecb\u3055\u308c\u305f\u3082\u306e)<\/li>\n<li>\u591a\u6b21\u5143\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3092\u3053\u306d\u304f\u308a\u56de\u305b\u308b\n<ul>\n<li>\u884c\u5217\u8a08\u7b97\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u5b9f\u88c5\u3059\u308b\u624b\u9593\u304c\u7701\u3051\u3066\u3044\u3044\u3067\u3059\u306d<\/li>\n<\/ul>\n<\/li>\n<li>\u30d5\u30ed\u30f3\u30c8\u30a8\u30f3\u30c9\u306fnotebook\u3068\u3044\u3046<\/li>\n<li>\u7dda\u5f62\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u6700\u9069\u5316<\/li>\n<li>\u305f\u3060\u3057\u30e1\u30e2\u30ea\u3092\u98df\u3046<\/li>\n<li>Julia benchmark\u306e\u7d50\u679c\u306a\u3093\u3066\u4fe1\u3058\u3061\u3083\u30c0\u30e1\u3060\uff01\uff01\uff01(\u672c\u5f53\u304b\u306f\u308f\u304b\u3089\u3093)\n<ul>\n<li>numpy\u4f7f\u3063\u3066\u3044\u308b\u304b\u5426\u304b\u306f\u8a00\u53ca\u3057\u3066\u306a\u304b\u3063\u305f<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<li>SciPy\n<ul>\n<li>\u79d1\u5b66\u8a08\u7b97\u30e9\u30a4\u30d6\u30e9\u30ea (\u540d\u524d\u306e\u901a\u308a\u3067\u3059\u306d)<\/li>\n<\/ul>\n<\/li>\n<li>matplotlib\n<ul>\n<li>2D, 3D\u306e\u30cf\u30a4\u30af\u30aa\u30ea\u30c6\u30a3\u30d7\u30ed\u30c3\u30bf\u30fc<\/li>\n<li>MATLAB\u3063\u307d\u304f\u3044\u3051\u308b\n<ul>\n<li>\u5b9f\u969b\u3067\u3082\u3092\u898b\u308b\u3068\u672c\u5f53\u306b\u305d\u308c\u3063\u307d\u3044<\/li>\n<\/ul>\n<\/li>\n<li><a href=\"http:\/\/www.youtube.com\/watch?v=3Fp1zn5ao2M\">Introduction to Numpy and Matplotlib<\/a> \u3063\u3066\u30d3\u30c7\u30aa\u3092\u898b\u308b\u3068\u3044\u3044\u3088\uff014\u6642\u9593\u3042\u308b\u3051\u3069\u3002<\/li>\n<\/ul>\n<\/li>\n<li>scikits\n<ul>\n<li>\u6a5f\u68b0\u5b66\u7fd2<\/li>\n<\/ul>\n<\/li>\n<li>pandas\n<ul>\n<li>\u30c7\u30fc\u30bf\u64cd\u4f5c\u30e9\u30a4\u30d6\u30e9\u30ea \u30b0\u30eb\u30fc\u30d4\u30f3\u30b0\u3001\u30de\u30fc\u30b8\u3001\u305d\u3057\u3066\u30a4\u30f3\u30c7\u30af\u30b7\u30f3\u30b0\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u6ce8\u610f\u70b9\n<ul>\n<li>numpy, scipy, scikit-lean \u3092\u3064\u306a\u3052\u3066\u884c\u304f\u3068\u3001 Fortran\u30ec\u30d9\u30eb\u3067\u3044\u3051\u308b\u3063\u307d\u3044\u3002<\/li>\n<li>\u518d\u30b3\u30f3\u30d1\u30a4\u30eb\u306f\u9577\u3044\u3002(\u8f9b\u3044)<\/li>\n<li>\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u91cd\u8996: numba, cython<\/li>\n<li>DSL: sympy, nltk<\/li>\n<li>bindings: rpy2<\/li>\n<li>storage: pytables<\/li>\n<li>\u7121\u6599\u3067\u5229\u7528\u3067\u304d\u308b\n<ul>\n<li>\u306a\u3093\u304b\u3042\u3063\u305f\u3089\u76f4\u305d\u3046\u3001\u76f4\u3057\u307e\u3059\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3 id=\"\"><a href=\"https:\/\/pycon.jp\/2014\/schedule\/presentation\/28\/\">\u30ea\u30d5\u30a1\u30af\u30bf\u30ea\u30f3\u30b0\u30c4\u30fc\u30eb\u3042\u308c\u3053\u308c<\/a><\/h3>\n<ul>\n<li>@<a href=\"http:\/\/twitter.com\/tell-k\">tell-k<\/a> \u3055\u3093\n<ul>\n<li>BeProud\u3055\u3093<\/li>\n<li><a href=\"http:\/\/tell-k.github.io\/pyconjp2014\/\">Slide<\/a><\/li>\n<\/ul>\n<\/li>\n<li>\u611f\u60f3\n<ul>\n<li>\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u57fa\u6e96\u3092\u5b88\u308b\u3093\u3067\u306a\u304f\u3066\u3001\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u57fa\u6e96\u306b\u6cbf\u3063\u305f\u30b3\u30fc\u30c9\u3092\u81ea\u52d5\u7684\u306b\u751f\u6210\u3059\u308b\u6642\u4ee3\u3068\u306a\u3063\u305f\u3002<\/li>\n<li>\u305d\u3057\u3066\u50d5\u306e\u524d\u306b\u72c2\u6226\u58eb\u304c\u3084\u3063\u3066\u304d\u3066\u6bba\u3055\u308c\u308b\u3002<\/li>\n<li>\u5fc3\u3092\u5165\u308c\u66ff\u3048\u3066.vimrc\u3092\u30a2\u30c3\u30d7\u30c7\u30fc\u30c8\u3057\u307e\u3059\u3002<\/li>\n<li>\u3054\u3081\u3093\u306a\u3055\u3044\u3054\u3081\u3093\u306a\u3055\u3044\u3002<\/li>\n<li>\u4e00\u65b9\u3067\u3001\u30b3\u30fc\u30c9\u306e\u898b\u901a\u3057\u3084\u30b3\u30e1\u30f3\u30c8\u306e\u826f\u3055\u306f\u3053\u308c\u3089\u3067\u306f\u30ab\u30d0\u30fc\u3067\u304d\u306a\u3044\u4e8b\u3067\u3082\u3042\u308b\u306e\u3067\u3001\u5f15\u304d\u7d9a\u304d\u5e83\u3044\u8996\u91ce\u3092\u6301\u3063\u3066\u30b3\u30fc\u30c9\u3092\u66f8\u304f\u306e\u3092\u5fd8\u308c\u306a\u3044\u3088\u3046\u306b\u3057\u305f\u3044\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u30ea\u30d5\u30a1\u30af\u30bf\u30ea\u30f3\u30b0\u305d\u306e\u3082\u306e\u306e\u8a71\u306f\u3057\u306a\u3044\uff01<\/li>\n<li>\u30ea\u30d5\u30a1\u30af\u30bf\u30ea\u30f3\u30b0 <strong>\u30c4\u30fc\u30eb<\/strong> \u306e\u8a71\u3092\u3057\u307e\u3059\u3002\n<ul>\n<li>vim\u4e2d\u5fc3\u306b\u8aac\u660e\u3057\u307e\u3059\uff01<\/li>\n<\/ul>\n<\/li>\n<li>pep8, pep257\n<ul>\n<li>\u6587\u6cd5\u30c1\u30a7\u30c3\u30af<\/li>\n<\/ul>\n<\/li>\n<li>pyflakes\n<ul>\n<li>\u6587\u6cd5\u30a8\u30e9\u30fc<\/li>\n<\/ul>\n<\/li>\n<li>flake8\n<ul>\n<li>pep8, pyflakes<\/li>\n<li>pep257\u5bfe\u5fdc\u306e\u305f\u3081\u306b flake8-docstring \u3092\u7a81\u3063\u8fbc\u3080<\/li>\n<\/ul>\n<\/li>\n<li>gofmt\u306e\u4ee3\u308f\u308a\n<ul>\n<li>autopep8<\/li>\n<li>autoflake<\/li>\n<\/ul>\n<\/li>\n<li>\u652f\u63f4\/\u30ea\u30d5\u30a1\u30af\u30bf\u30ea\u30f3\u30b0\n<ul>\n<li>jedi<\/li>\n<\/ul>\n<\/li>\n<li>\u7279\u306b\u30ea\u30d5\u30a1\u30af\u30bf\u30ea\u30f3\u30b0\n<ul>\n<li>Rope\n<ul>\n<li>IDE\u306b\u898b\u52a3\u308a\u3057\u306a\u3044\u7de8\u96c6\u304c\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308b<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<li><a href=\"https:\/\/codeclimate.com\/\">Code Climate<\/a>\n<ul>\n<li>\u81ea\u52d5\u3067\u30ec\u30d3\u30e5\u30fc\u3057\u3066\u304f\u308c\u308b\u30b5\u30fc\u30d3\u30b9<\/li>\n<li>\u305f\u3060Ruby, PHP\u306e\u307f\u3067\u3001Python\u306f\u4f7f\u3048\u306a\u3044\u3002<\/li>\n<\/ul>\n<\/li>\n<li><a href=\"http:\/\/radon.readthedocs.org\/\">Radon<\/a>\n<ul>\n<li>2\u3064\u306e\u6307\u6a19\u3067\u8a55\u4fa1\n<ul>\n<li>Cyclomatic Complexity: \u5faa\u74b0\u7684\u8907\u96d1\u5ea6 6\u6bb5\u968e\u3067\u8a55\u4fa1<\/li>\n<li>Maintainability Index: \u4fdd\u5b88\u5bb9\u6613\u6027<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3 id=\"python:\"><a href=\"https:\/\/pycon.jp\/2014\/schedule\/presentation\/34\/\">Python \u3092\u652f\u3048\u308b\u6280\u8853: \u30c7\u30a3\u30b9\u30af\u30ea\u30d7\u30bf\u7de8<\/a><\/h3>\n<ul>\n<li>Nozomu Kaneko\u3055\u3093\n<ul>\n<li>@<a href=\"http:\/\/twitter.com\/knzm2011\">knzm2011<\/a><\/li>\n<li>\u516c\u5f0f\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8 \u7ffb\u8a33\u62c5\u5f53\u8005<\/li>\n<\/ul>\n<\/li>\n<li>\u611f\u60f3\n<ul>\n<li>\u3044\u308d\u3044\u308d\u306f\u307e\u3063\u305f\u6642\u306b\u3001\u3053\u306e\u4e8b\u3092\u601d\u3044\u51fa\u3059\u3068\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u3067\u3064\u307e\u3065\u304b\u306a\u3044\u306e\u3067\u306f\u3068\u8003\u3048\u305f\u3002<\/li>\n<li>\u305f\u3060\u3001\u81ea\u5206\u81ea\u8eab\u3067\u6539\u3081\u3066\u4eba\u306b\u8aac\u660e\u3067\u304d\u308b\u307b\u3069\u6df1\u304f\u7406\u89e3\u3067\u304d\u305f\u3068\u306f\u601d\u3063\u3066\u3044\u306a\u3044\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u306f\u3044\n<ul>\n<li>\u30b7\u30ea\u30fc\u30ba\u7269\u3063\u3066\u3053\u3068\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u3002<\/li>\n<li>\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3001\u30bd\u30fc\u30b9\u3092\u8aad\u3081\u3070\u4e00\u901a\u308a\u66f8\u3044\u3066\u3042\u308b\u3002<\/li>\n<li>Python \u69cb\u6587\u89e3\u8aac\u306b\u30c7\u30a3\u30b9\u30af\u30ea\u30d7\u30bf\u306e\u4e8b\u304c\u66f8\u3044\u3066\u3042\u308bwww \u304b\u3076\u3063\u305f\u3002<\/li>\n<li>\u516c\u5f0f\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8 \u7ffb\u8a33\u62c5\u5f53\u8005 \u5927\u52df\u96c6\u4e2d\uff01<\/li>\n<\/ul>\n<\/li>\n<li>\u5206\u985e\n<ul>\n<li>\u30c7\u30fc\u30bf\u30c7\u30a3\u30b9\u30af\u30ea\u30d7\u30bf<\/li>\n<li>\u975e\u30c7\u30fc\u30bf\u30c7\u30a3\u30b9\u30af\u30ea\u30d7\u30bf<\/li>\n<li>\u8aad\u307f\u53d6\u308a\u5c02\u7528\u306e\u30c7\u30fc\u30bf\u30c7\u30a3\u30b9\u30af\u30ea\u30d7\u30bf<\/li>\n<\/ul>\n<\/li>\n<li>\u5206\u985e\u306f\u5c5e\u6027\u30a2\u30af\u30bb\u30b9\u306e\u512a\u5148\u9806\u4f4d\u306b\u5f71\u97ff\u3057\u3066\u304f\u308b<\/li>\n<li>\u30d7\u30ed\u30d1\u30c6\u30a3\u306f\u30c7\u30a3\u30b9\u30af\u30ea\u30d7\u30bf\u306e\u4e00\u7a2e<\/li>\n<li>\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u30e1\u30bd\u30c3\u30c9\u306e\u8aad\u307f\u51fa\u3057\u306f\u3001\u30c7\u30a3\u30b9\u30af\u30ea\u30d7\u30bf\u306b\u3088\u3063\u3066\u5358\u306a\u308b\u95a2\u6570\u547c\u3073\u51fa\u3057\u306b\u5909\u63db\u3055\u308c\u308b\u3002\u3060\u304b\u3089\u3001\u7b2c1\u5f15\u6570\u306bself\u304c\u3042\u308b\u3002<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>2014\/09\/12(\u91d1)\u304b\u3089\u59cb\u307e\u3063\u3066\u3044\u308b\u3001PyCon JP 2014\u306b\u6765\u3066\u3044\u307e\u3059\u3002\u4eca\u306f3\u65e5\u76ee\u306e\u671d\u306b\u884c\u308f\u308c\u308b\u897f\u5c3e\u3055\u3093\u306e\u57fa\u8abf\u8b1b\u6f14\u3092\u5f85\u3063\u3066\u3044\u308b\u6240\u3067\u3059\u3002\u697d\u3057\u307f\u3067\u3059\uff01\u5b9f\u306fPyCon\u306f\u521d\u3081\u3066\u306a\u306e\u3067\u3059\u304c\u3001YAPC::Asia\u3068\u307e\u305f\u9055 [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"class_list":["post-2648","post","type-post","status-publish","format-standard","hentry","category-programming","category-event"],"aioseo_notices":[],"_edit_lock":"1410847199:2","_edit_last":"2","_aioseo_title":"","_aioseo_description":"","_aioseo_keywords":"","_aioseo_og_title":"","_aioseo_og_description":"","_aioseo_og_article_section":"","_aioseo_og_article_tags":"","_aioseo_twitter_title":"","_aioseo_twitter_description":"","_jd_tweet_this":"yes","_oembed_7af84259280f3819d0c1e5347b48b2a9":"","_oembed_time_7af84259280f3819d0c1e5347b48b2a9":"","_oembed_7634e39d4ed0be4d10a97eb0741284fe":"","_oembed_time_7634e39d4ed0be4d10a97eb0741284fe":"","SBM_count":"","_wp_old_slug":"","_thumbnail_id":"","_jd_twitter":"","_wp_jd_clig":"","_wp_jd_bitly":"http:\/\/bit.ly\/ZkPyqQ","_wp_jd_wp":"","_wp_jd_yourls":"","_wp_jd_url":"","_wp_jd_target":"http:\/\/www.koemu.com\/blog\/2014\/09\/14\/pycon-jp-2014-day2\/?utm_campaign=utm_source=twitter&utm_medium=tweet&utm_campaign=Twitter&utm_medium=twitter&utm_source=twitter","_jd_wp_twitter":["\u30d6\u30ed\u30b0\u66f8\u3044\u305f: PyCon JP 2014 Day 2 \u611f\u60f3\u3068\u30ce\u30fc\u30c8 #pyconjp http:\/\/bit.ly\/ZkPyqQ"],"_jd_post_meta_fixed":"","_wpt_short_url":"","rftp_tweet":"","wp_jd_bitly":"","jd_tweet_this":"","wp_jd_target":"","travelify_sidebarlayout":"","_wpt_status_message":"Tweet sent successfully.","_oembed_86fa8277a8d7ce66dcfee44bbbd51e64":"","_oembed_ec93745e0bb62267198d809adfd6e7ff":"","_oembed_1f5115e676f2bc0ad275ae7611f1bee1":"","_oembed_a3b3ae89adb1a1558fbce6d10d100bc9":"","_oembed_28759a6151461bd4bbb28c90ed32dca4":"","_oembed_ba816cc2e05a94d0ee7e9a844244d8dd":"","_oembed_b31e57225a15d41c6a18e20e85b23138":"","_oembed_6d8106b1ef508f44a9dce87488d21512":"","_oembed_dec3d64437fd71382b8f0ee11dfffb4c":"","_oembed_424209275087a3fb168baaf61a1253c5":"","_aioseop_opengraph_settings":"","_syntaxhighlighter_encoded":"","_wpt_failed":"","_wp_old_date":"","_aioseop_keywords":"","_aioseop_description":"","_aioseop_title":"","_aioseop_custom_link":"","_aioseop_sitemap_exclude":"","_aioseop_disable":"","_aioseop_disable_analytics":"","_aioseop_noindex":"","_aioseop_nofollow":"","_wpt_tweet_id":"","_oembed_29e3617a1d7a89c344ab6cdc228e0c39":"","_oembed_e601c1e2ff4f427590bbf66636e0ba1c":"","_oembed_f213ba69d40801b8496174ba2cb828b4":"","_oembed_time_f213ba69d40801b8496174ba2cb828b4":"","_oembed_a6c0cf41bc3f379e44c82773e97f7f42":"","_oembed_time_a6c0cf41bc3f379e44c82773e97f7f42":"","_oembed_fdd3ccfef04133848bafbf039a6cee4b":"","_oembed_fe341b816b5af943f80fcbbe95432f33":"","_oembed_time_fe341b816b5af943f80fcbbe95432f33":"","_oembed_088ddcba00488ca063978d3c1ebc12c9":"","_oembed_4cd00905ef4a8c5dfe5183e065b8f9be":"","_oembed_time_4cd00905ef4a8c5dfe5183e065b8f9be":"","_links":{"self":[{"href":"https:\/\/www.koemu.com\/blog\/wp-json\/wp\/v2\/posts\/2648","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.koemu.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.koemu.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.koemu.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.koemu.com\/blog\/wp-json\/wp\/v2\/comments?post=2648"}],"version-history":[{"count":10,"href":"https:\/\/www.koemu.com\/blog\/wp-json\/wp\/v2\/posts\/2648\/revisions"}],"predecessor-version":[{"id":2675,"href":"https:\/\/www.koemu.com\/blog\/wp-json\/wp\/v2\/posts\/2648\/revisions\/2675"}],"wp:attachment":[{"href":"https:\/\/www.koemu.com\/blog\/wp-json\/?parent=2648"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}