{"id":477757,"date":"2023-08-09T09:19:52","date_gmt":"2023-08-09T09:19:52","guid":{"rendered":""},"modified":"2023-09-05T11:15:22","modified_gmt":"2023-09-05T11:15:22","slug":"jupyter-notebook","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/jp\/wiki\/jupyter-notebook\/","title":{"rendered":"Jupyter\u30ce\u30fc\u30c8\u30d6\u30c3\u30af"},"content":{"rendered":"

Jupyter Notebook \u306f\u3001\u30c7\u30fc\u30bf\u5206\u6790\u3001\u79d1\u5b66\u7814\u7a76\u3001\u6a5f\u68b0\u5b66\u7fd2\u3001\u6559\u80b2\u306b\u5e83\u304f\u4f7f\u7528\u3055\u308c\u3066\u3044\u308b\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306a\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u74b0\u5883\u3067\u3059\u3002\u30e9\u30a4\u30d6 \u30b3\u30fc\u30c9\u3001\u8996\u899a\u5316\u3001\u8aac\u660e\u6587\u3001\u6570\u5f0f\u3092\u542b\u3080\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3092\u4f5c\u6210\u3057\u3066\u5171\u6709\u3067\u304d\u308b Web \u30d9\u30fc\u30b9\u306e\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30a4\u30b9\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002Jupyter Notebook \u306f\u3001\u30e6\u30fc\u30b6\u30fc\u304c\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306b\u30c7\u30fc\u30bf\u3092\u63a2\u7d22\u304a\u3088\u3073\u5206\u6790\u3067\u304d\u308b\u591a\u76ee\u7684\u30c4\u30fc\u30eb\u3067\u3042\u308a\u3001\u7814\u7a76\u8005\u3001\u30c7\u30fc\u30bf \u30b5\u30a4\u30a8\u30f3\u30c6\u30a3\u30b9\u30c8\u3001\u958b\u767a\u8005\u306b\u3068\u3063\u3066\u4e0d\u53ef\u6b20\u306a\u8cc7\u7523\u3068\u306a\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n

Jupyter Notebook\u306e\u8d77\u6e90\u3068\u305d\u306e\u6700\u521d\u306e\u8a00\u53ca\u306e\u6b74\u53f2<\/h2>\n

Jupyter Notebook \u306e\u30eb\u30fc\u30c4\u306f\u30012001 \u5e74\u306b Fernando P\u00e9rez \u304c\u958b\u59cb\u3057\u305f IPython \u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306b\u9061\u308a\u307e\u3059\u3002IPython \u306f Python \u306e\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6 \u30b7\u30a7\u30eb\u3068\u3057\u3066\u958b\u767a\u3055\u308c\u3001\u6a19\u6e96\u306e Python \u30b7\u30a7\u30eb\u306b\u8ffd\u52a0\u6a5f\u80fd\u3068\u6539\u5584\u304c\u52a0\u3048\u3089\u308c\u307e\u3057\u305f\u3002\u5f90\u3005\u306b\u3001IPython \u306f\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6 \u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306e\u5305\u62ec\u7684\u306a\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3078\u3068\u9032\u5316\u3057\u30012014 \u5e74\u306b Jupyter \u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u304c\u8a95\u751f\u3057\u307e\u3057\u305f\u3002<\/p>\n

\u300cJupyter\u300d\u3068\u3044\u3046\u540d\u524d\u306f\u30013 \u3064\u306e\u30b3\u30a2 \u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u8a00\u8a9e\u3067\u3042\u308b Julia\u3001Python\u3001R \u3092\u7d44\u307f\u5408\u308f\u305b\u305f\u3082\u306e\u3067\u3059\u3002\u3053\u308c\u3089\u306e\u8a00\u8a9e\u304c Jupyter \u306e\u5f53\u521d\u306e\u7126\u70b9\u3067\u3057\u305f\u304c\u3001\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u306f\u30ab\u30fc\u30cd\u30eb\u3092\u901a\u3058\u3066\u3055\u307e\u3056\u307e\u306a\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u8a00\u8a9e\u306e\u30b5\u30dd\u30fc\u30c8\u3092\u6025\u901f\u306b\u62e1\u5f35\u3057\u3001\u591a\u8a00\u8a9e\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u306b\u5f79\u7acb\u3064\u30c4\u30fc\u30eb\u306b\u306a\u308a\u307e\u3057\u305f\u3002<\/p>\n

Jupyter Notebook \u306b\u95a2\u3059\u308b\u8a73\u7d30\u60c5\u5831\u3002\u30c8\u30d4\u30c3\u30af Jupyter Notebook \u3092\u62e1\u5f35\u3057\u307e\u3059\u3002<\/h2>\n

Jupyter Notebook \u306f\u30af\u30e9\u30a4\u30a2\u30f3\u30c8 \u30b5\u30fc\u30d0\u30fc \u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u3067\u52d5\u4f5c\u3057\u307e\u3059\u3002\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u306f\u901a\u5e38 Web \u30d6\u30e9\u30a6\u30b6\u30fc\u3067\u3001\u30b5\u30fc\u30d0\u30fc\u306f\u30ed\u30fc\u30ab\u30eb \u30de\u30b7\u30f3\u307e\u305f\u306f\u30ea\u30e2\u30fc\u30c8 \u30b5\u30fc\u30d0\u30fc\u3067\u5b9f\u884c\u3055\u308c\u307e\u3059\u3002\u30b5\u30fc\u30d0\u30fc\u5074\u30b3\u30f3\u30dd\u30fc\u30cd\u30f3\u30c8\u306f\u30b3\u30fc\u30c9\u306e\u5b9f\u884c\u3068\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u306e\u30ec\u30f3\u30c0\u30ea\u30f3\u30b0\u3092\u62c5\u5f53\u3057\u3001\u30af\u30e9\u30a4\u30a2\u30f3\u30c8\u5074\u30b3\u30f3\u30dd\u30fc\u30cd\u30f3\u30c8\u306f\u30e6\u30fc\u30b6\u30fc\u304c\u64cd\u4f5c\u3059\u308b\u305f\u3081\u306e\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306a\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30a4\u30b9\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002<\/p>\n

Jupyter Notebook \u306e\u4e3b\u306a\u6a5f\u80fd\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/p>\n

    \n
  1. \n

    \u7d30\u80de<\/strong>: \u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u306f\u500b\u5225\u306e\u30bb\u30eb\u3067\u69cb\u6210\u3055\u308c\u3001\u5404\u30bb\u30eb\u306b\u306f\u30b3\u30fc\u30c9\u3001\u30c6\u30ad\u30b9\u30c8\u3001\u307e\u305f\u306f\u8996\u899a\u5316\u3092\u542b\u3081\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u30bb\u30eb\u306f\u72ec\u7acb\u3057\u3066\u5b9f\u884c\u3067\u304d\u308b\u305f\u3081\u3001\u30e6\u30fc\u30b6\u30fc\u306f\u30b3\u30fc\u30c9\u3092\u7e70\u308a\u8fd4\u3057\u8a66\u3057\u305f\u308a\u5909\u66f4\u3057\u305f\u308a\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n

  2. \n

    \u30b3\u30fc\u30c9\u306e\u5b9f\u884c<\/strong>: Jupyter Notebook \u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u30bb\u30eb\u5185\u3067\u76f4\u63a5\u30b3\u30fc\u30c9\u3092\u5b9f\u884c\u3067\u304d\u307e\u3059\u3002\u30c6\u30ad\u30b9\u30c8\u51fa\u529b\u3001\u8868\u3001\u30b0\u30e9\u30d5\u306a\u3069\u306e\u7d50\u679c\u306f\u30a4\u30f3\u30e9\u30a4\u30f3\u3067\u8868\u793a\u3055\u308c\u308b\u305f\u3081\u3001\u30c7\u30fc\u30bf\u306e\u63a2\u7d22\u3068\u5206\u6790\u304c\u5bb9\u6613\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n

  3. \n

    \u30ea\u30c3\u30c1\u30e1\u30c7\u30a3\u30a2\u7d71\u5408<\/strong>: \u30e6\u30fc\u30b6\u30fc\u306f\u3001\u753b\u50cf\u3001\u30aa\u30fc\u30c7\u30a3\u30aa\u3001\u30d3\u30c7\u30aa\u306a\u3069\u306e\u3055\u307e\u3056\u307e\u306a\u7a2e\u985e\u306e\u30e1\u30c7\u30a3\u30a2\u3068\u3001\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306a\u8996\u899a\u5316\u3092\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u306b\u76f4\u63a5\u7d44\u307f\u8fbc\u3080\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n

  4. \n

    \u30de\u30fc\u30af\u30c0\u30a6\u30f3\u30b5\u30dd\u30fc\u30c8<\/strong>: Jupyter \u306f Markdown \u3092\u30b5\u30dd\u30fc\u30c8\u3057\u3066\u304a\u308a\u3001\u30e6\u30fc\u30b6\u30fc\u306f\u66f8\u5f0f\u8a2d\u5b9a\u3055\u308c\u305f\u30c6\u30ad\u30b9\u30c8\u3001\u65b9\u7a0b\u5f0f\u3001\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3092\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u306b\u8ffd\u52a0\u3067\u304d\u307e\u3059\u3002\u3053\u306e\u6a5f\u80fd\u306b\u3088\u308a\u3001\u30b3\u30fc\u30c9\u3068\u8aac\u660e\u30c6\u30ad\u30b9\u30c8\u3092 1 \u3064\u306e\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u306b\u7d44\u307f\u5408\u308f\u305b\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u305f\u3081\u3001\u518d\u73fe\u53ef\u80fd\u306a\u7814\u7a76\u306b\u6700\u9069\u306a\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n

  5. \n

    \u30a6\u30a3\u30b8\u30a7\u30c3\u30c8<\/strong>Jupyter \u306f\u3001\u30e6\u30fc\u30b6\u30fc\u304c\u5909\u6570\u3084\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u64cd\u4f5c\u3067\u304d\u308b\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306a\u30a6\u30a3\u30b8\u30a7\u30c3\u30c8\u3092\u30b5\u30dd\u30fc\u30c8\u3057\u3066\u304a\u308a\u3001\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u306e\u8996\u899a\u5316\u66f4\u65b0\u3092\u63d0\u4f9b\u3057\u3001\u30c7\u30fc\u30bf\u306e\u63a2\u7d22\u3092\u5bb9\u6613\u306b\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n

  6. \n

    \u30a8\u30af\u30b9\u30dd\u30fc\u30c8\u3068\u5171\u6709<\/strong>: \u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u306f HTML\u3001PDF\u3001\u30b9\u30e9\u30a4\u30c9\u306a\u3069\u306e\u3055\u307e\u3056\u307e\u306a\u5f62\u5f0f\u306b\u7c21\u5358\u306b\u30a8\u30af\u30b9\u30dd\u30fc\u30c8\u3067\u304d\u308b\u305f\u3081\u3001\u7814\u7a76\u7d50\u679c\u3084\u30c7\u30fc\u30bf\u5206\u6790\u3092\u540c\u50da\u3084\u3088\u308a\u5e83\u3044\u30b3\u30df\u30e5\u30cb\u30c6\u30a3\u3068\u5171\u6709\u3059\u308b\u306e\u306b\u4fbf\u5229\u3067\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n

    Jupyter Notebook \u306e\u5185\u90e8\u69cb\u9020\u3002Jupyter Notebook \u306e\u4ed5\u7d44\u307f\u3002<\/h2>\n

    Jupyter Notebook \u30d5\u30a1\u30a4\u30eb\u306f .ipynb \u62e1\u5f35\u5b50\u3067\u4fdd\u5b58\u3055\u308c\u3001JSON \u30d9\u30fc\u30b9\u306e\u69cb\u9020\u3092\u542b\u3093\u3067\u3044\u307e\u3059\u3002\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u306f\u8907\u6570\u306e\u30bb\u30eb\u3067\u69cb\u6210\u3055\u308c\u3001\u5404\u30bb\u30eb\u306f\u30b3\u30fc\u30c9\u3001\u30de\u30fc\u30af\u30c0\u30a6\u30f3\u3001\u307e\u305f\u306f\u751f\u306e\u30c6\u30ad\u30b9\u30c8\u3068\u3057\u3066\u8b58\u5225\u3055\u308c\u307e\u3059\u3002\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3092\u958b\u304f\u3068\u3001Jupyter \u30b5\u30fc\u30d0\u30fc\u304c\u30d5\u30a1\u30a4\u30eb\u3092\u8aad\u307f\u53d6\u308a\u3001\u30b3\u30fc\u30c9 \u30bb\u30eb\u3092\u5b9f\u884c\u3057\u3066\u51fa\u529b\u3092\u30ec\u30f3\u30c0\u30ea\u30f3\u30b0\u3057\u307e\u3059\u3002\u30ec\u30f3\u30c0\u30ea\u30f3\u30b0\u3055\u308c\u305f\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u306f\u3001\u30e6\u30fc\u30b6\u30fc\u306e Web \u30d6\u30e9\u30a6\u30b6\u30fc\u306b\u8868\u793a\u3055\u308c\u307e\u3059\u3002<\/p>\n

    Jupyter \u30b5\u30fc\u30d0\u30fc\u306f\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u306e\u5b9f\u884c\u74b0\u5883\u3092\u7ba1\u7406\u3057\u3001\u3055\u307e\u3056\u307e\u306a\u30ab\u30fc\u30cd\u30eb\u3068\u901a\u4fe1\u3057\u307e\u3059\u3002\u30ab\u30fc\u30cd\u30eb\u306f\u3001\u305d\u308c\u305e\u308c\u306e\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u8a00\u8a9e\u3067\u30b3\u30fc\u30c9\u3092\u5b9f\u884c\u3057\u3001\u51fa\u529b\u3092 Jupyter \u30b5\u30fc\u30d0\u30fc\u306b\u9001\u308a\u8fd4\u3059\u30d7\u30ed\u30bb\u30b9\u3067\u3059\u3002\u5404\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u306f\u7279\u5b9a\u306e\u30ab\u30fc\u30cd\u30eb\u306b\u95a2\u9023\u4ed8\u3051\u3089\u308c\u3066\u3044\u308b\u305f\u3081\u3001\u30e6\u30fc\u30b6\u30fc\u306f\u540c\u3058 Jupyter \u74b0\u5883\u5185\u3067\u7570\u306a\u308b\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u8a00\u8a9e\u3067\u4f5c\u696d\u3067\u304d\u307e\u3059\u3002<\/p>\n

    Jupyter Notebook \u306e\u4e3b\u8981\u6a5f\u80fd\u306e\u5206\u6790<\/h2>\n

    Jupyter Notebook \u306e\u4e3b\u306a\u6a5f\u80fd\u306f\u3001\u305d\u306e\u4eba\u6c17\u3068\u6c4e\u7528\u6027\u306b\u8ca2\u732e\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n

      \n
    1. \n

      \u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306a\u30c7\u30fc\u30bf\u63a2\u7d22<\/strong>: Jupyter Notebook \u306f\u30b3\u30fc\u30c9\u3092\u30b9\u30c6\u30c3\u30d7\u3054\u3068\u306b\u5b9f\u884c\u3067\u304d\u308b\u305f\u3081\u3001\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306a\u30c7\u30fc\u30bf\u63a2\u7d22\u304c\u4fc3\u9032\u3055\u308c\u3001\u8907\u96d1\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u7c21\u5358\u306b\u8996\u899a\u5316\u3057\u3066\u7406\u89e3\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n

    2. \n

      \u518d\u73fe\u53ef\u80fd\u306a\u7814\u7a76<\/strong>: \u30b3\u30fc\u30c9\u3001\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3001\u8996\u899a\u5316\u3092 1 \u3064\u306e\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u306b\u7d71\u5408\u3059\u308b\u3053\u3068\u3067\u518d\u73fe\u6027\u304c\u9ad8\u307e\u308a\u3001\u7814\u7a76\u8005\u306f\u5206\u6790\u3084\u65b9\u6cd5\u8ad6\u3092\u7c21\u5358\u306b\u5171\u6709\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n

    3. \n

      \u6559\u80b2\u30c4\u30fc\u30eb<\/strong>Jupyter Notebook \u306f\u3001\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306a\u6027\u8cea\u3068\u30b3\u30fc\u30c9\u3068\u8aac\u660e\u3092\u7d44\u307f\u5408\u308f\u305b\u308b\u6a5f\u80fd\u306b\u3088\u308a\u3001\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u3001\u30c7\u30fc\u30bf \u30b5\u30a4\u30a8\u30f3\u30b9\u3001\u305d\u306e\u4ed6\u306e\u6280\u8853\u7684\u306a\u79d1\u76ee\u3092\u6559\u3048\u308b\u305f\u3081\u306e\u512a\u308c\u305f\u6559\u80b2\u30c4\u30fc\u30eb\u3068\u3057\u3066\u6a5f\u80fd\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n

    4. \n

      \u30b3\u30e9\u30dc\u30ec\u30fc\u30b7\u30e7\u30f3<\/strong>Jupyter Notebook \u306f\u7c21\u5358\u306b\u5171\u6709\u304a\u3088\u3073\u5171\u540c\u4f5c\u696d\u3067\u304d\u308b\u305f\u3081\u3001\u7814\u7a76\u8005\u3068\u958b\u767a\u8005\u9593\u306e\u30c1\u30fc\u30e0\u30ef\u30fc\u30af\u3068\u77e5\u8b58\u306e\u4ea4\u63db\u304c\u4fc3\u9032\u3055\u308c\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n

      Jupyter Notebook\u306e\u7a2e\u985e<\/h2>\n

      Jupyter Notebook \u306f\u8907\u6570\u306e\u30ab\u30fc\u30cd\u30eb\u3092\u30b5\u30dd\u30fc\u30c8\u3057\u3066\u304a\u308a\u3001\u30e6\u30fc\u30b6\u30fc\u306f\u3055\u307e\u3056\u307e\u306a\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u8a00\u8a9e\u3084\u30c6\u30af\u30ce\u30ed\u30b8\u30fc\u3067\u4f5c\u696d\u3067\u304d\u307e\u3059\u3002\u4ee5\u4e0b\u306b\u3001\u4e00\u822c\u7684\u306a Jupyter Notebook \u306e\u7a2e\u985e\u3068\u305d\u308c\u306b\u95a2\u9023\u3059\u308b\u30ab\u30fc\u30cd\u30eb\u3092\u3044\u304f\u3064\u304b\u793a\u3057\u307e\u3059\u3002<\/p>\n\n\n\n\n\n\n\n\n\n
      \u30bf\u30a4\u30d7<\/th>\n\u30ab\u30fc\u30cd\u30eb<\/th>\n\u8aac\u660e<\/th>\n<\/tr>\n<\/thead>\n
      Python \u30ce\u30fc\u30c8\u30d6\u30c3\u30af<\/td>\nIPython (Python \u30ab\u30fc\u30cd\u30eb)<\/td>\nPython \u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u7528\u306e\u30c7\u30d5\u30a9\u30eb\u30c8\u306e Jupyter Notebook \u30bf\u30a4\u30d7\u3002<\/td>\n<\/tr>\n
      R\u30ce\u30fc\u30c8\u30d6\u30c3\u30af<\/td>\nIRkernel (R\u30ab\u30fc\u30cd\u30eb)<\/td>\nR \u3092\u4f7f\u7528\u3057\u305f\u30c7\u30fc\u30bf\u5206\u6790\u3068\u7d71\u8a08\u7528\u306b\u8a2d\u8a08\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/td>\n<\/tr>\n
      \u30b8\u30e5\u30ea\u30a2\u30ce\u30fc\u30c8\u30d6\u30c3\u30af<\/td>\nIJulia (Julia \u30ab\u30fc\u30cd\u30eb)<\/td>\nJulia \u8a00\u8a9e\u3092\u4f7f\u7528\u3057\u305f\u79d1\u5b66\u8a08\u7b97\u306b\u9069\u3057\u3066\u3044\u307e\u3059\u3002<\/td>\n<\/tr>\n
      \u30eb\u30d3\u30fc\u30ce\u30fc\u30c8\u30d6\u30c3\u30af<\/td>\nIRuby (Ruby \u30ab\u30fc\u30cd\u30eb)<\/td>\n\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306a Ruby \u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u3092\u53ef\u80fd\u306b\u3057\u307e\u3059\u3002<\/td>\n<\/tr>\n
      JavaScript \u30ce\u30fc\u30c8\u30d6\u30c3\u30af<\/td>\nIJavascript (Node.js \u30ab\u30fc\u30cd\u30eb)<\/td>\nWeb \u958b\u767a\u304a\u3088\u3073 JavaScript \u30d9\u30fc\u30b9\u306e\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u5411\u3051\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      Jupyter Notebook \u306e\u4f7f\u3044\u65b9\u3001\u4f7f\u7528\u4e0a\u306e\u554f\u984c\u3068\u305d\u306e\u89e3\u6c7a\u7b56\u3002<\/h2>\n

      Jupyter Notebook\u306e\u30e6\u30fc\u30b9\u30b1\u30fc\u30b9<\/h3>\n
        \n
      1. \n

        \u30c7\u30fc\u30bf\u5206\u6790\u3068\u8996\u899a\u5316<\/strong>Jupyter Notebook \u306f\u3001\u305d\u306e\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306a\u6027\u8cea\u3068\u8996\u899a\u5316\u6a5f\u80fd\u306b\u3088\u308a\u3001\u30c7\u30fc\u30bf\u306e\u5206\u6790\u3001\u63a2\u7d22\u3001\u8996\u899a\u5316\u306b\u5e83\u304f\u4f7f\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<\/li>\n

      2. \n

        \u6a5f\u68b0\u5b66\u7fd2\u3068AI<\/strong>\u30c7\u30fc\u30bf \u30b5\u30a4\u30a8\u30f3\u30c6\u30a3\u30b9\u30c8\u3084\u6a5f\u68b0\u5b66\u7fd2\u306e\u5c02\u9580\u5bb6\u306f\u3001Jupyter Notebook \u3092\u4f7f\u7528\u3057\u3066\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u958b\u767a\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3001\u30c6\u30b9\u30c8\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n

      3. \n

        \u7814\u7a76\u3068\u5b66\u8853<\/strong>Jupyter Notebook \u306f\u30b3\u30fc\u30c9\u3001\u65b9\u7a0b\u5f0f\u3001\u8996\u899a\u5316\u3092\u7d71\u5408\u3057\u3066\u3044\u308b\u305f\u3081\u3001\u3055\u307e\u3056\u307e\u306a\u5b66\u8853\u5206\u91ce\u3067\u7814\u7a76\u3092\u5b9f\u65bd\u304a\u3088\u3073\u767a\u8868\u3059\u308b\u305f\u3081\u306e\u512a\u308c\u305f\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u3068\u306a\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n

      4. \n

        \u6559\u80b2\u3068\u5b66\u7fd2<\/strong>Jupyter Notebook \u306f\u3001\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u3001\u30c7\u30fc\u30bf \u30b5\u30a4\u30a8\u30f3\u30b9\u3001\u305d\u306e\u4ed6\u306e\u6280\u8853\u7684\u306a\u79d1\u76ee\u3092\u6559\u3048\u308b\u305f\u3081\u306e\u6559\u80b2\u30c4\u30fc\u30eb\u3068\u3057\u3066\u6a5f\u80fd\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n

        \u3088\u304f\u3042\u308b\u554f\u984c\u3068\u89e3\u6c7a\u7b56<\/h3>\n
          \n
        1. \n

          \u30ab\u30fc\u30cd\u30eb\u30af\u30e9\u30c3\u30b7\u30e5<\/strong>: \u5834\u5408\u306b\u3088\u3063\u3066\u306f\u3001\u30b3\u30fc\u30c9\u5185\u306e\u30a8\u30e9\u30fc\u3084\u30ea\u30bd\u30fc\u30b9\u4e0d\u8db3\u306b\u3088\u308a\u30ab\u30fc\u30cd\u30eb\u304c\u30af\u30e9\u30c3\u30b7\u30e5\u3059\u308b\u3053\u3068\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u308c\u3092\u89e3\u6c7a\u3059\u308b\u306b\u306f\u3001\u30ab\u30fc\u30cd\u30eb\u3092\u518d\u8d77\u52d5\u3057\u3066\u30b3\u30fc\u30c9\u3092\u518d\u5ea6\u5b9f\u884c\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n

        2. \n

          \u5927\u578b\u30ce\u30fc\u30c8\u30b5\u30a4\u30ba<\/strong>: \u975e\u5e38\u306b\u5927\u304d\u306a\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u306f\u3001\u8aad\u307f\u8fbc\u307f\u3068\u51e6\u7406\u304c\u9045\u304f\u306a\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002\u30e6\u30fc\u30b6\u30fc\u306f\u3001\u5927\u304d\u306a\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3092\u5c0f\u3055\u306a\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u306b\u5206\u5272\u3057\u305f\u308a\u3001\u51fa\u529b\u3092\u30af\u30ea\u30a2\u3057\u305f\u308a\u3057\u3066\u3001\u30d5\u30a1\u30a4\u30eb \u30b5\u30a4\u30ba\u3092\u7e2e\u5c0f\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n

        3. \n

          \u4f9d\u5b58\u95a2\u4fc2\u306e\u7ba1\u7406<\/strong>: \u8907\u96d1\u306a\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3067\u4f5c\u696d\u3059\u308b\u5834\u5408\u3001\u4f9d\u5b58\u95a2\u4fc2\u306e\u7ba1\u7406\u306f\u56f0\u96e3\u306b\u306a\u308b\u3053\u3068\u304c\u3042\u308a\u307e\u3059\u3002 virtualenv<\/code> (Python \u306e\u5834\u5408) \u304a\u3088\u3073 Docker \u306b\u3088\u308b\u30b3\u30f3\u30c6\u30ca\u5316\u306b\u3088\u308a\u3001\u4f9d\u5b58\u95a2\u4fc2\u3092\u52b9\u679c\u7684\u306b\u7ba1\u7406\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n

        4. \n

          \u30c7\u30fc\u30bf\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3<\/strong>: \u6a5f\u5bc6\u30c7\u30fc\u30bf\u304c\u542b\u307e\u308c\u308b\u5834\u5408\u3001\u30e6\u30fc\u30b6\u30fc\u306f\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3092\u5171\u6709\u3059\u308b\u969b\u306b\u306f\u6ce8\u610f\u3057\u3001\u30d1\u30b9\u30ef\u30fc\u30c9\u3084\u6697\u53f7\u5316\u3092\u4f7f\u7528\u3057\u3066\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3092\u4fdd\u8b77\u3059\u308b\u3053\u3068\u3092\u691c\u8a0e\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n

          \u4e3b\u306a\u7279\u5fb4\u3084\u305d\u306e\u4ed6\u306e\u985e\u4f3c\u7528\u8a9e\u3068\u306e\u6bd4\u8f03\u3092\u8868\u3084\u30ea\u30b9\u30c8\u306e\u5f62\u5f0f\u3067\u793a\u3057\u307e\u3059\u3002<\/h2>\n

          Jupyter Notebook \u3068 JupyterLab \u306e\u6bd4\u8f03<\/h3>\n

          JupyterLab \u306f\u3001Jupyter \u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u306b\u57fa\u3065\u3044\u3066\u69cb\u7bc9\u3055\u308c\u305f\u9ad8\u5ea6\u306a\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u958b\u767a\u74b0\u5883\u3067\u3059\u3002Jupyter Notebook \u3068 JupyterLab \u306e\u6bd4\u8f03\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/p>\n\n\n\n\n\n\n\n\n\n\n
          \u5074\u9762<\/th>\n\u30b8\u30e5\u30d4\u30bf\u30fc\u30ce\u30fc\u30c8\u30d6\u30c3\u30af<\/th>\n\u30b8\u30e5\u30d4\u30bf\u30fc\u30e9\u30dc<\/th>\n<\/tr>\n<\/thead>\n
          \u30e6\u30fc\u30b6\u30fc\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30fc\u30b9<\/td>\n\u5358\u4e00\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30fc\u30b9<\/td>\n\u30de\u30eb\u30c1\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30fc\u30b9<\/td>\n<\/tr>\n
          \u30bf\u30d6\u7de8\u96c6<\/td>\n\u30b5\u30dd\u30fc\u30c8\u3055\u308c\u3066\u3044\u307e\u305b\u3093<\/td>\n\u30b5\u30dd\u30fc\u30c8\u3055\u308c\u3066\u304a\u308a\u3001\u8907\u6570\u306e\u30d5\u30a1\u30a4\u30eb\u3092\u958b\u304f\u3053\u3068\u304c\u3067\u304d\u307e\u3059<\/td>\n<\/tr>\n
          \u62e1\u5f35\u6027<\/td>\n\u9650\u5b9a\u7684\u306a\u62e1\u5f35\u6a5f\u80fd<\/td>\n\u30d7\u30e9\u30b0\u30a4\u30f3\u306b\u3088\u308b\u9ad8\u5ea6\u306a\u62e1\u5f35\u6027<\/td>\n<\/tr>\n
          \u30ef\u30fc\u30af\u30b9\u30da\u30fc\u30b9\u7ba1\u7406<\/td>\n\u30b7\u30f3\u30d7\u30eb\u306a\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30fc\u30b9<\/td>\n\u67d4\u8edf\u306a\u30ef\u30fc\u30af\u30b9\u30da\u30fc\u30b9\u30ec\u30a4\u30a2\u30a6\u30c8\u7ba1\u7406<\/td>\n<\/tr>\n
          \u7d71\u5408\u30bf\u30fc\u30df\u30ca\u30eb<\/td>\n\u5185\u8535\u3055\u308c\u3066\u3044\u306a\u3044<\/td>\n\u30b3\u30fc\u30c9\u5b9f\u884c\u7528\u306e\u7d71\u5408\u30bf\u30fc\u30df\u30ca\u30eb<\/td>\n<\/tr>\n
          \u30b3\u30fc\u30c9\u30b3\u30f3\u30bd\u30fc\u30eb<\/td>\n\u5185\u8535\u3055\u308c\u3066\u3044\u306a\u3044<\/td>\n\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306a\u4f5c\u696d\u306e\u305f\u3081\u306e\u7d71\u5408\u30b3\u30fc\u30c9\u30b3\u30f3\u30bd\u30fc\u30eb<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

          Jupyter Notebook \u3068 R Markdown \u306e\u6bd4\u8f03<\/h3>\n

          R Markdown \u306f\u3001R \u30b3\u30fc\u30c9\u3001\u30c6\u30ad\u30b9\u30c8\u3001\u8996\u899a\u5316\u3092 1 \u3064\u306e\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u306b\u7d44\u307f\u8fbc\u3080\u3053\u3068\u304c\u3067\u304d\u308b\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u5f62\u5f0f\u3067\u3059\u3002\u4ee5\u4e0b\u306f\u3001Jupyter Notebook \u3068 R Markdown \u306e\u6bd4\u8f03\u3067\u3059\u3002<\/p>\n\n\n\n\n\n\n\n\n\n
          \u5074\u9762<\/th>\n\u30b8\u30e5\u30d4\u30bf\u30fc\u30ce\u30fc\u30c8\u30d6\u30c3\u30af<\/th>\nR \u30de\u30fc\u30af\u30c0\u30a6\u30f3<\/th>\n<\/tr>\n<\/thead>\n
          \u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u8a00\u8a9e<\/td>\n\u8907\u6570\u306e\u8a00\u8a9e\u3092\u30b5\u30dd\u30fc\u30c8<\/td>\n\u4e3b\u306bR\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u306b\u7126\u70b9\u3092\u5f53\u3066\u3066\u3044\u307e\u3059<\/td>\n<\/tr>\n
          \u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u6027<\/td>\n\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u306a\u30b3\u30fc\u30c9\u5b9f\u884c<\/td>\n\u30b3\u30fc\u30c9\u5b9f\u884c\u306b\u304a\u3051\u308b\u5bfe\u8a71\u6027\u306e\u5236\u9650<\/td>\n<\/tr>\n
          \u30b3\u30fc\u30c9\u8a55\u4fa1<\/td>\n\u500b\u3005\u306e\u30bb\u30eb\u306e\u5b9f\u884c<\/td>\n\u5168\u4f53\u3092\u901a\u3057\u3066\u9806\u6b21\u30b3\u30fc\u30c9\u5b9f\u884c<\/td>\n<\/tr>\n
          \u51fa\u529b\u306e\u67d4\u8edf\u6027<\/td>\n\u3088\u308a\u67d4\u8edf\u306a\u51fa\u529b\u30aa\u30d7\u30b7\u30e7\u30f3<\/td>\n\u51fa\u529b\u5f62\u5f0f\u304c\u9650\u3089\u308c\u3066\u3044\u308b<\/td>\n<\/tr>\n
          \u8996\u899a\u5316<\/td>\n\u8c4a\u5bcc\u306a\u8996\u899a\u5316\u306e\u30b5\u30dd\u30fc\u30c8<\/td>\nggplot2 \u8996\u899a\u5316\u306e\u8c4a\u5bcc\u306a\u30b5\u30dd\u30fc\u30c8<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

          Jupyter Notebook\u306b\u95a2\u3059\u308b\u4eca\u5f8c\u306e\u5c55\u671b\u3068\u6280\u8853<\/h2>\n

          Jupyter Notebook \u306f\u3001\u30c7\u30fc\u30bf \u30b5\u30a4\u30a8\u30f3\u30b9\u3001\u7814\u7a76\u3001\u6559\u80b2\u306e\u5206\u91ce\u3067\u4e0d\u53ef\u6b20\u306a\u30c4\u30fc\u30eb\u3068\u306a\u3063\u3066\u3044\u307e\u3059\u3002\u30a4\u30f3\u30bf\u30e9\u30af\u30c6\u30a3\u30d6\u3067\u5171\u540c\u4f5c\u696d\u7684\u306a\u6027\u8cea\u306b\u3088\u308a\u3001\u3055\u307e\u3056\u307e\u306a\u5206\u91ce\u3067\u5e83\u304f\u63a1\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002Jupyter Notebook \u306e\u5c06\u6765\u306f\u3001\u7d99\u7d9a\u7684\u306a\u6539\u5584\u3001\u65b0\u8208\u6280\u8853\u3068\u306e\u7d71\u5408\u3001\u3088\u308a\u591a\u304f\u306e\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u8a00\u8a9e\u306e\u30b5\u30dd\u30fc\u30c8\u306e\u62e1\u5f35\u304c\u671f\u5f85\u3055\u308c\u307e\u3059\u3002<\/p>\n

          \u4eca\u5f8c\u306e\u5c55\u958b\u3068\u3057\u3066\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u3053\u3068\u304c\u8003\u3048\u3089\u308c\u307e\u3059\u3002<\/p>\n

            \n
          1. \n

            \u30b3\u30e9\u30dc\u30ec\u30fc\u30b7\u30e7\u30f3\u306e\u5411\u4e0a<\/strong>: \u30b3\u30e9\u30dc\u30ec\u30fc\u30b7\u30e7\u30f3\u6a5f\u80fd\u3092\u5f37\u5316\u3057\u3001\u8907\u6570\u306e\u30e6\u30fc\u30b6\u30fc\u9593\u3067\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u4e0a\u3067\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u306e\u30b3\u30e9\u30dc\u30ec\u30fc\u30b7\u30e7\u30f3\u3092\u53ef\u80fd\u306b\u3059\u308b\u53d6\u308a\u7d44\u307f\u3002<\/p>\n<\/li>\n

          2. \n

            \u30af\u30e9\u30a6\u30c9\u30d9\u30fc\u30b9\u306e\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3<\/strong>: Jupyter Notebook \u5411\u3051\u306e\u30af\u30e9\u30a6\u30c9\u30d9\u30fc\u30b9\u306e\u30b5\u30fc\u30d3\u30b9\u304c\u3055\u3089\u306b\u5145\u5b9f\u3057\u3001\u30e6\u30fc\u30b6\u30fc\u306f\u3069\u3053\u304b\u3089\u3067\u3082\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u306b\u30a2\u30af\u30bb\u30b9\u3057\u3066\u4f5c\u696d\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n

          3. \n

            AI\u3068\u6a5f\u68b0\u5b66\u7fd2\u3068\u306e\u7d71\u5408<\/strong>: \u30b3\u30fc\u30c9\u88dc\u5b8c\u3001\u30c7\u30d0\u30c3\u30b0\u3001\u30a4\u30f3\u30c6\u30ea\u30b8\u30a7\u30f3\u30c8\u306a\u63d0\u6848\u3092\u652f\u63f4\u3059\u308b AI \u6a5f\u80fd\u3092\u7d71\u5408\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n

          4. \n

            \u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u3068\u30d7\u30e9\u30a4\u30d0\u30b7\u30fc\u306e\u5f37\u5316<\/strong>: \u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3092\u5171\u6709\u3059\u308b\u969b\u306e\u30c7\u30fc\u30bf\u306e\u30d7\u30e9\u30a4\u30d0\u30b7\u30fc\u3068\u4fdd\u8b77\u3092\u78ba\u4fdd\u3059\u308b\u305f\u3081\u306e\u3001\u3088\u308a\u53b3\u683c\u306a\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u5bfe\u7b56\u3002<\/p>\n<\/li>\n<\/ol>\n

            \u30d7\u30ed\u30ad\u30b7\u30b5\u30fc\u30d0\u30fc\u3092 Jupyter Notebook \u3067\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3084\u95a2\u9023\u4ed8\u3051\u308b\u65b9\u6cd5<\/h2>\n

            OneProxy (oneproxy.pro) \u304c\u63d0\u4f9b\u3059\u308b\u3088\u3046\u306a\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u3092 Jupyter Notebook \u3068\u7d44\u307f\u5408\u308f\u305b\u3066\u4f7f\u7528\u3059\u308b\u3068\u3001\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u3001\u30d7\u30e9\u30a4\u30d0\u30b7\u30fc\u3001\u30a2\u30af\u30bb\u30b9\u5236\u5fa1\u3092\u5f37\u5316\u3067\u304d\u307e\u3059\u3002\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f\u3001\u30e6\u30fc\u30b6\u30fc\u3068\u30a4\u30f3\u30bf\u30fc\u30cd\u30c3\u30c8\u9593\u306e\u4ef2\u4ecb\u5f79\u3068\u3057\u3066\u6a5f\u80fd\u3057\u3001\u30ea\u30af\u30a8\u30b9\u30c8\u3068\u5fdc\u7b54\u3092\u8ee2\u9001\u3059\u308b\u3053\u3068\u3067\u3001\u6b21\u306e\u3053\u3068\u3092\u5b9f\u73fe\u3057\u307e\u3059\u3002<\/p>\n

              \n
            1. \n

              \u30a2\u30af\u30bb\u30b9\u5236\u5fa1<\/strong>: \u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f Jupyter Notebook \u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3078\u306e\u30a2\u30af\u30bb\u30b9\u3092\u5236\u9650\u3057\u3001\u8a31\u53ef\u3055\u308c\u305f\u30e6\u30fc\u30b6\u30fc\u306e\u307f\u304c\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3092\u64cd\u4f5c\u3067\u304d\u308b\u3088\u3046\u306b\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n

            2. \n

              \u533f\u540d<\/strong>: \u30e6\u30fc\u30b6\u30fc\u306f\u3001Jupyter Notebook \u306b\u30a2\u30af\u30bb\u30b9\u3059\u308b\u3068\u304d\u306b\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u3092\u4f7f\u7528\u3057\u3066\u5b9f\u969b\u306e IP \u30a2\u30c9\u30ec\u30b9\u3092\u30de\u30b9\u30af\u3057\u3001\u533f\u540d\u6027\u3068\u30d7\u30e9\u30a4\u30d0\u30b7\u30fc\u3092\u3055\u3089\u306b\u5f37\u5316\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n

            3. \n

              \u30ed\u30fc\u30c9\u30d0\u30e9\u30f3\u30b7\u30f3\u30b0<\/strong>: \u8907\u6570\u306e Jupyter Notebook \u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u6301\u3064\u7d44\u7e54\u306e\u5834\u5408\u3001\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f\u53d7\u4fe1\u30ea\u30af\u30a8\u30b9\u30c8\u3092\u7570\u306a\u308b\u30b5\u30fc\u30d0\u30fc\u9593\u3067\u5206\u6563\u3057\u3001\u30ea\u30bd\u30fc\u30b9\u306e\u4f7f\u7528\u7387\u3092\u6700\u9069\u5316\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n

            4. \n

              \u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u3068\u76e3\u8996<\/strong>: \u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f\u3001\u60aa\u610f\u306e\u3042\u308b\u30c8\u30e9\u30d5\u30a3\u30c3\u30af\u306e\u30d5\u30a3\u30eb\u30bf\u30ea\u30f3\u30b0\u3084\u30a2\u30af\u30bb\u30b9 \u30ed\u30b0\u306e\u76e3\u8996\u306a\u3069\u3001\u8ffd\u52a0\u306e\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u5bfe\u7b56\u3092\u63d0\u4f9b\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n

              \u95a2\u9023\u30ea\u30f3\u30af<\/h2>\n

              Jupyter Notebook \u306e\u8a73\u7d30\u306b\u3064\u3044\u3066\u306f\u3001\u6b21\u306e\u30ea\u30bd\u30fc\u30b9\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n

                \n
              1. \u30d7\u30ed\u30b8\u30a7\u30af\u30c8 Jupyter<\/a><\/li>\n
              2. Jupyter \u30c9\u30ad\u30e5\u30e1\u30f3\u30c8<\/a><\/li>\n
              3. JupyterLab \u30c9\u30ad\u30e5\u30e1\u30f3\u30c8<\/a><\/li>\n
              4. R \u30de\u30fc\u30af\u30c0\u30a6\u30f3<\/a><\/li>\n<\/ol>","protected":false},"featured_media":468721,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-477757","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about Jupyter Notebook: A Comprehensive Guide<\/mark>","faq_items":[{"question":"What is Jupyter Notebook?","answer":"

                Jupyter Notebook is an interactive computing environment used for data analysis, scientific research, machine learning, and education. It provides a web-based interface where users can create documents containing live code, visualizations, and explanatory text.<\/p>"},{"question":"How did Jupyter Notebook originate?","answer":"

                Jupyter Notebook originated from the IPython project initiated by Fernando P\u00e9rez in 2001. The project evolved into Jupyter in 2014, derived from the combination of Julia, Python, and R, which were the primary focus languages at the time.<\/p>"},{"question":"What are the key features of Jupyter Notebook?","answer":"

                Jupyter Notebook offers several key features, including support for multiple programming languages, code execution within cells, interactive widgets, rich media integration, and markdown support for adding formatted text and equations.<\/p>"},{"question":"How does Jupyter Notebook work internally?","answer":"

                Jupyter Notebook operates on a client-server architecture. The client, usually a web browser, communicates with the server running on the local machine or a remote server. The server manages the notebook's execution environment and interacts with kernels, which execute code in their respective programming languages.<\/p>"},{"question":"What types of Jupyter Notebooks are available?","answer":"

                Jupyter Notebooks support various kernels for different programming languages. Some popular types include Python Notebook (IPython kernel), R Notebook (IRkernel), Julia Notebook (IJulia), Ruby Notebook (IRuby), and JavaScript Notebook (IJavascript).<\/p>"},{"question":"How can Jupyter Notebook be used?","answer":"

                Jupyter Notebook finds applications in data analysis, visualization, machine learning, research, and education. It serves as a valuable tool for interactive exploration and documentation of code and results.<\/p>"},{"question":"What are common issues users may face with Jupyter Notebook?","answer":"

                Users may encounter problems such as kernel crashes, large notebook sizes, dependency management, and data security concerns. Restarting the kernel, breaking notebooks into smaller parts, using virtual environments, and securing sensitive data are potential solutions.<\/p>"},{"question":"How does Jupyter Notebook compare to JupyterLab?","answer":"

                Jupyter Notebook and JupyterLab are both interactive computing environments, but JupyterLab offers a more advanced multi-document interface, tabbed editing, and better extensibility through plugins.<\/p>"},{"question":"What does the future hold for Jupyter Notebook?","answer":"

                The future of Jupyter Notebook includes improved collaboration features, cloud-based solutions, integration with AI, and enhanced security and privacy measures.<\/p>"},{"question":"How can proxy servers be used with Jupyter Notebook?","answer":"

                Proxy servers, like those provided by OneProxy, can enhance security, privacy, and access control when using Jupyter Notebook. They can restrict access, provide anonymity, load balancing, and additional security measures.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki\/477757","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki\/477757\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/media\/468721"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/media?parent=477757"}],"curies":[{"name":"\u3046\u30fc\u3093","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}