{"id":46304,"date":"2023-06-28T13:09:44","date_gmt":"2023-06-09T04:35:44","guid":{"rendered":"https:\/\/www.silicloud.com\/zh\/blog\/46304-2\/"},"modified":"2024-04-30T11:04:54","modified_gmt":"2024-04-30T03:04:54","slug":"46304-2","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/zh\/blog\/46304-2\/","title":{"rendered":""},"content":{"rendered":"

Jupyter Notebook\u306e\u5229\u7528\uff08\u57fa\u790e\uff09<\/h1>\n

Jupyter Notebook\u3092\u306f\u3058\u3081\u3066\u5229\u7528\u3059\u308b\u65b9\u5411\u3051\u306e\u3001\u57fa\u790e\u7684\u306a\u8aac\u660e\u3067\u3059\u3002<\/p>\n

Jupyter Notebook\u753b\u9762\u306e\u6982\u8981<\/h2>\n

Jupyter Notebook\u753b\u9762 1<\/h3>\n
\"jupyternotebook001.jpg\"<\/div>\n
    \n
  1. \n
      Files\u30bf\u30d6\u3000\u4fdd\u5b58\u3055\u308c\u3066\u3044\u308b\u30d5\u30a9\u30eb\u30c0\u3084\u30d5\u30a1\u30a4\u30eb\u3092\u8868\u793a\u3057\u307e\u3059<\/ol>\n<\/li>\n<\/ol>\n

       <\/p>\n

        \n
      1. \n
          Running\u30bf\u30d6\u3000\u5b9f\u884c\u4e2d\u306e\u30d7\u30ed\u30bb\u30b9\u7b49\u3092\u8868\u793a\u3057\u307e\u3059<\/ol>\n<\/li>\n<\/ol>\n

           <\/p>\n

            \n
          1. \n
              Clusters\u30bf\u30d6\u3000\u672c\u8cc7\u6599\u3067\u306f\u5229\u7528\u3057\u307e\u305b\u3093\u306e\u3067\u8aac\u660e\u3092\u5272\u611b\u3057\u307e\u3059<\/ol>\n<\/li>\n<\/ol>\n

               <\/p>\n

                \n
              1. \n
                  Quit\u3000\uff08\u6a29\u9650\u304c\u3042\u308b\u5834\u5408\u306e\u307f\u8868\u793a\u3055\u308c\u308b\uff09Jupyter Notebook\u3092\u505c\u6b62\u3057\u307e\u3059<\/ol>\n<\/li>\n<\/ol>\n

                   <\/p>\n

                    \n
                  1. \n
                      Logout\u3000Jupyter Notebook\u3092\u30ed\u30b0\u30a2\u30a6\u30c8\u3057\u307e\u3059<\/ol>\n<\/li>\n<\/ol>\n

                       <\/p>\n

                        \n
                      1. \n
                          Upload\u3000\u5206\u6790\u30c7\u30fc\u30bf\u3084\u30ce\u30fc\u30c8\u30d6\u30c3\u30af(\u30d5\u30a1\u30a4\u30eb\u62e1\u5f35\u5b50 .ipynb)\u3092\u30a2\u30c3\u30d7\u30ed\u30fc\u30c9\u3057\u307e\u3059<\/ol>\n<\/li>\n<\/ol>\n

                           <\/p>\n

                            \n
                          1. \n
                              New\u3000\u30d5\u30a9\u30eb\u30c0\u3084\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3092\u65b0\u898f\u4f5c\u6210\u3057\u307e\u3059<\/ol>\n<\/li>\n<\/ol>\n

                               <\/p>\n

                                \n
                              1. \n
                                  \u66f4\u65b0\u3000\u30ea\u30b9\u30c8\u8868\u793a\u3092\u66f4\u65b0\u3057\u307e\u3059<\/ol>\n<\/li>\n<\/ol>\n

                                   <\/p>\n

                                    \n
                                  1. \n
                                      (\u5168\u4f53)\u3000\u30ea\u30b9\u30c8\u5168\u4f53\u3092\u9078\u629e\u72b6\u614b\u306b\u3057\u307e\u3059<\/ol>\n<\/li>\n<\/ol>\n

                                       <\/p>\n

                                        \u30d5\u30a1\u30a4\u30eb\u3084\u30d5\u30a9\u30eb\u30c0\u4f5c\u6210\u5f8c\u306f\u500b\u5225\u306b\u9078\u629e\u3067\u304d\u307e\u3059<\/ol>\n

                                        Jupyter Notebook\u753b\u9762 2<\/h2>\n
                                        \"jupyternotebook002.jpg\"<\/div>\n

                                        New\u30dc\u30bf\u30f3\u3092\u62bc\u3057\u305f\u3068\u304d\u306e\u30e1\u30cb\u30e5\u30fc
                                        \n\u30fbNotebook\uff08\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\uff1a\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u5b9f\u884c\u3057\u3001\u7d50\u679c\u3092\u4fdd\u5b58\u53ef\u80fd\u306a\u30d5\u30a1\u30a4\u30eb\uff09
                                        \n5. Python3 Python3\u3067\u5b9f\u884c\u3059\u308b\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3092\u65b0\u898f\u306b\u4f5c\u6210\u3057\u307e\u3059
                                        \n\u30fbOther
                                        \n6.Text File\u3000\u30c6\u30ad\u30b9\u30c8\u30d5\u30a1\u30a4\u30eb\u3092\u65b0\u898f\u306b\u4f5c\u6210\u3057\u307e\u3059
                                        \nFolder\u3000\u30d5\u30a9\u30eb\u30c0\u3092\u65b0\u898f\u306b\u4f5c\u6210\u3057\u307e\u3059
                                        \nTerminal \u30bf\u30fc\u30df\u30ca\u30eb\uff08\u7aef\u672b\uff09\u753b\u9762\u3092\u958b\u304d\u307e\u3059<\/p>\n

                                        \u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u306e\u4f5c\u6210<\/h2>\n

                                        \u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u306e\u65b0\u898f\u4f5c\u6210<\/h3>\n
                                        \"jupyternotebook003.jpg\"<\/div>\n

                                        \u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u306e\u30d5\u30a1\u30a4\u30eb\u540d\uff08\u30bf\u30a4\u30c8\u30eb\uff09\u3092\u5909\u66f4<\/h3>\n
                                        \"jupyternotebook004.jpg\"<\/div>\n

                                        \u30b3\u30fc\u30c9\u30bb\u30eb<\/h3>\n
                                        \"jupyternotebook005.jpg\"<\/div>\n

                                        \u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3067\u306e\u30d7\u30ed\u30b0\u30e9\u30e0\u5b9f\u884c<\/h2>\n

                                        \u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u8a18\u8f09\u3068\u5b9f\u884c<\/h3>\n

                                        \u30b3\u30fc\u30c9\u30bb\u30eb\u306b Python3 \u306e\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u8a18\u8f09\u3057\u3001\u5b9f\u884c\u3057\u307e\u3059\u3002<\/p>\n

                                        print (\"test\")\r\n<\/code><\/pre>\n
                                        \u5b9f\u884c\u3059\u308b\u306b\u306f\u4ee5\u4e0b\u306e\u65b9\u6cd5\u304c\u3042\u308a\u307e\u3059\u3002
                                        \n1. Run\u30dc\u30bf\u30f3\u3092\u62bc\u3059
                                        \n2. Ctr + Enter\u3092\u62bc\u3059<\/p>\n
                                        \"jupyternotebook006.jpg\"<\/div>\n
                                        \u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u306e\u4fdd\u5b58(\u30c1\u30a7\u30c3\u30af\u30dd\u30a4\u30f3\u30c8\u4f5c\u6210)<\/h2>\n
                                        \"jupyternotebook008.jpg\"<\/div>\n
                                        Checkpoint\u3092\u9078\u629e\u3059\u308b\u3068\u3001\u305d\u306eCheckpoint\u3092\u4f5c\u6210\u3057\u305f\u6642\u70b9\u306e\u72b6\u614b\u306b\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3092\u623b\u3059\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n
                                        \u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u306e\u30c4\u30fc\u30eb\u30d0\u30fc<\/h2>\n
                                        \"jupyternotebook009.jpg\"<\/div>\n
                                        \u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3092\u9589\u3058\u308b<\/h2>\n
                                        \"jupyternotebook010.jpg\"<\/div>\n
                                        \u30b0\u30e9\u30d5\u3092\u4f5c\u6210\u3059\u308b<\/h2>\n
                                        Python\u3067\u30b0\u30e9\u30d5\u3092\u63cf\u753b\u3059\u308b\u3068\u304d\u306a\u3069\u306b\u4f7f\u308f\u308c\u308b\u6a19\u6e96\u7684\u306a\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3042\u308bmatplotlib\u3092\u4f7f\u3063\u3066\u3001\u30b0\u30e9\u30d5\u3092\u4f5c\u6210\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002
                                        \nmatplotlib
                                        \n\u307e\u305f\u3001\u4ee5\u4e0b\u306e\u4f8b\u3067\u306f\u914d\u5217\u306b\u4f7f\u308f\u308c\u308b\u6a19\u6e96\u7684\u306a\u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u3042\u308bnumpy\u3092\u4f7f\u3063\u3066\u3044\u307e\u3059\u3002
                                        \nnumpy<\/p>\n
                                        \u30b3\u30fc\u30c9\u30bb\u30eb\u306b\u4ee5\u4e0b\u3092\u5165\u529b\u3057\u3001Run\u30dc\u30bf\u30f3\u3067\u5b9f\u884c\u3057\u3066\u4e0b\u3055\u3044\u3002<\/p>\n
                                        import numpy as np\r\nimport matplotlib.pyplot as plt\r\nbar = np.array([1, 2, 3, 4, 5])\r\nheight = np.array([10, 20, 30, 40, 50])\r\nplt.bar(bar, height)\r\n<\/code><\/pre>\n
                                        \"jupyternotebook011.jpg\"<\/div>\n
                                        \u4e71\u6570\uff08\u6b63\u898f\u5206\u5e03\uff09\u3092\u30b0\u30e9\u30d5\u3067\u53ef\u8996\u5316<\/h2>\n
                                        \u4e71\u6570\u3092\u4f5c\u6210\u3059\u308b\u95a2\u6570randn()\u306f\u6b63\u898f\u5206\u5e03\u306b\u5f93\u3044\u307e\u3059\u3002
                                        \n\u30b0\u30e9\u30d5\u3067\u78ba\u8a8d\u3057\u3066\u307f\u307e\u3059\u3002
                                        \n\u30b3\u30fc\u30c9\u30bb\u30eb\u306b\u4ee5\u4e0b\u3092\u5165\u529b\u3057\u3001Run\u30dc\u30bf\u30f3\u3067\u5b9f\u884c\u3057\u3066\u4e0b\u3055\u3044\u3002<\/p>\n
                                        import matplotlib.pyplot as plt\r\nplt.hist(np.random.randn(100))\r\n<\/code><\/pre>\n
                                        \"jupyternotebook012.jpg\"<\/div>\n
                                        \u6563\u5e03\u56f3\u306e\u4f5c\u6210<\/h2>\n
                                        matplotlib\u3067\u306f\u6563\u5e03\u56f3\u3092\u4f5c\u6210\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002
                                        \n\u30b3\u30fc\u30c9\u30bb\u30eb\u306b\u4ee5\u4e0b\u3092\u5165\u529b\u3057\u3001Run\u30dc\u30bf\u30f3\u3067\u5b9f\u884c\u3057\u3066\u4e0b\u3055\u3044\u3002
                                        \nsin(x)\u306fsin x\u306e\u5024\u3067\u3059\u3002
                                        \n\u6700\u5f8c\u306e\u884c\u306e”.”\u306f\u534a\u89d2\u306e\u30d4\u30ea\u30aa\u30c9\u3067\u3059\u306e\u3067\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n
                                        import numpy as np\r\nimport matplotlib.pyplot as plt\r\nx = np.random.randn(10)\r\ny = np.sin(x) + np.random.randn(10)\r\nplt.plot(x, y, \".\") \r\n<\/code><\/pre>\n
                                        \"jupyternotebook013.jpg\"<\/div>\n
                                        Markdown\u8a18\u6cd5\u3067\u30ec\u30dd\u30fc\u30c8\u3092\u4f5c\u6210<\/h2>\n
                                        \"jupyternotebook014.jpg\"<\/div>\n
                                        # My report\r\nBy [my name](mailto:my.name@xxx.com)<br>\r\n[Qiita](https:\/\/qiita.com\/)\r\n## test\r\nMarkdown\u306e\u30c6\u30b9\u30c8\u3067\u30591\r\n### test\r\nMarkdown\u306e\u30c6\u30b9\u30c8\u3067\u30592\r\n<\/code><\/pre>\n
                                        \"jupyternotebook015.jpg\"<\/div>\n
                                        \"jupyternotebook016.jpg\"<\/div>\n
                                        \u518d\u5ea6\u7de8\u96c6\u3057\u305f\u3044\u3068\u304d\u306f\u3001\u8868\u793a\u4e2d\u306e\u3082\u306e\u3092\u30c0\u30d6\u30eb\u30af\u30ea\u30c3\u30af\u3059\u308c\u3070\u3001\u7de8\u96c6\u72b6\u614b\u306e\u30b3\u30fc\u30c9\u30bb\u30eb\u306b\u306a\u308a\u307e\u3059\u3002
                                        \nMarkdown\u306e\u8a73\u3057\u3044\u66f8\u5f0f\u306b\u3064\u3044\u3066\u306f\u3001\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002
                                        \nMarkdown Guide<\/p>\n
                                        \u6570\u5f0f\u3092\u5165\u529b\u3059\u308b<\/h2>\n
                                        Markdown\u7528\u306e\u30bb\u30eb\u306b\u306f\u6570\u5f0f\u3092\u5165\u529b\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002
                                        \n\u30b3\u30fc\u30c9\u30bb\u30eb(Markdown\u7528\u306b\u5909\u66f4\u3092\u5fd8\u308c\u306a\u3044\u3053\u3068\uff09\u306b\u4ee5\u4e0b\u3092\u5165\u529b\u3057\u3001Run\u30dc\u30bf\u30f3\u3067\u5b9f\u884c\u3057\u3066\u4e0b\u3055\u3044\u3002<\/p>\n
                                        # Maxwell\u2019s Equations\r\n\\begin{align}\r\n\\nabla \\times \\vec{\\mathbf{B}} -\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{E}}}{\\partial t} & =\r\n\\frac{4\\pi}{c}\\vec{\\mathbf{j}} \\\\ \\nabla \\cdot \\vec{\\mathbf{E}} & = 4 \\pi \\rho \\\\\r\n\\nabla \\times \\vec{\\mathbf{E}}\\, +\\, \\frac1c\\, \\frac{\\partial\\vec{\\mathbf{B}}}{\\partial t} & =\r\n\\vec{\\mathbf{0}} \\\\\r\n\\nabla \\cdot \\vec{\\mathbf{B}} & = 0\r\n\\end{align}\r\n<\/code><\/pre>\n
                                        \"jupyternotebook017.jpg\"<\/div>\n
                                        Jupyter Notebook\u4e0a\u3067\u30b3\u30fc\u30c9\u306e\u51e6\u7406\u6642\u9593\u3092\u8a08\u6e2c<\/h2>\n
                                        \u30b3\u30fc\u30c9\u30bb\u30eb\u306e\u5148\u982d\u884c\u306b\u3000%%timeit\u3000\u3092\u8a18\u8f09\u3057\u3001\u305d\u306e\u5f8c\u306b\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u8a18\u8ff0\u3059\u308c\u3070\u3001\u305d\u306e\u30b3\u30fc\u30c9\u30bb\u30eb\u306e\u51e6\u7406\u6642\u9593\u304c\u8868\u793a\u3055\u308c\u307e\u3059\u3002
                                        \n\u30b3\u30fc\u30c9\u30bb\u30eb\u306b\u4ee5\u4e0b\u3092\u5165\u529b\u3057\u3001Run\u30dc\u30bf\u30f3\u3067\u5b9f\u884c\u3057\u3066\u4e0b\u3055\u3044\u3002<\/p>\n
                                        %%time\r\nimport matplotlib.pyplot as plt\r\nplt.hist(np.random.randn(1000))\r\n<\/code><\/pre>\n
                                        \"jupyternotebook018.jpg\"<\/div>\n","protected":false},"excerpt":{"rendered":"
                                        Jupyter Notebook\u306e\u5229\u7528\uff08\u57fa\u790e\uff09 Jupyter Notebook\u3092\u306f\u3058\u3081\u3066\u5229\u7528\u3059\u308b\u65b9\u5411\u3051\u306e\u3001\u57fa […]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-46304","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"\n- Blog - Silicon Cloud<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.silicloud.com\/zh\/blog\/46304-2\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:description\" content=\"Jupyter Notebook\u306e\u5229\u7528\uff08\u57fa\u790e\uff09 Jupyter Notebook\u3092\u306f\u3058\u3081\u3066\u5229\u7528\u3059\u308b\u65b9\u5411\u3051\u306e\u3001\u57fa […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.silicloud.com\/zh\/blog\/46304-2\/\" \/>\n<meta property=\"og:site_name\" content=\"Blog - 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