{"id":46555,"date":"2023-06-11T08:49:46","date_gmt":"2023-09-07T02:31:42","guid":{"rendered":"https:\/\/www.silicloud.com\/zh\/blog\/46555-2\/"},"modified":"2024-04-30T08:20:47","modified_gmt":"2024-04-30T00:20:47","slug":"46555-2","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/zh\/blog\/46555-2\/","title":{"rendered":""},"content":{"rendered":"

\u306f\u3058\u3081\u306b<\/h1>\n

VS Code\u3092\u4f7f\u3063\u3066\u3044\u308b\u4eba\u304b\u3089\u52e7\u3081\u3089\u308c\u305f\u306e\u3068\uff0c\u3053\u308c1\u3064\u3067\u69d8\u3005\u306a\u8a00\u8a9e\u306b\u89e6\u308c\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u306e\u3067\u5165\u308c\u308b\u3053\u3068\u306b\u3057\u307e\u3057\u305f\uff0e
\n\u305d\u306e\u969b\uff0c\u81ea\u5206\u306e\u77e5\u8b58\u304c\u6d45\u304f\u82e6\u52b4\u3057\u305f\u306e\u3067\u5165\u308c\u3066\u307f\u305f\u3044\u3051\u3069\u30a4\u30de\u30a4\u30c1\u5206\u304b\u3093\u306a\u3044\u3063\u3066\u4eba\u306e\u53c2\u8003\u306b\u306a\u308b\u3068\u3044\u3044\u3067\u3059\uff0e
\n\u307e\u305f\uff0c\u4eca\u56de\u306fVS Code\u3067Python\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u3092\u59cb\u3081\u3088\u3046\u3068\u8003\u3048\u3066\u3044\u308b\u3068\u3044\u3046\u3053\u3068\u306a\u306e\u3067\uff0cPython\u30c7\u30a3\u30b9\u30c8\u30ea\u30d3\u30e5\u30fc\u30b7\u30e7\u30f3\u306e\uff11\u3064\u3067\u3042\u308bAnaconda\u304c\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u3066\u3042\u308b\u3068\u3044\u3046\u4eee\u5b9a\u3067\u8a71\u3092\u9032\u3081\u3066\u3044\u304d\u307e\u3059\uff0e\uff08Anaconda\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u6642\u306b\u540c\u6642\u306bVs Code\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u306e\u3067\u306f\u306a\u304f\u5225\u9014\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\uff09
\n\u305d\u306e\u4ed6\uff0c\u9593\u9055\u3063\u3066\u3044\u308b\u70b9\u3084\uff0c\u3082\u3063\u3068\u52b9\u7387\u306e\u826f\u3044\u3084\u308a\u65b9\u304c\u3042\u308a\u307e\u3057\u305f\u3089\u6559\u3048\u3066\u304f\u3060\u3055\u3044\uff0e<\/p>\n

\u8ffd\u8a18\u3057\u307e\u3057\u305f\uff082019\/03\/10\uff09
\n\u62e1\u5f35\u6a5f\u80fd\u306b\u3064\u3044\u3066\u66f4\u65b0\u3057\u307e\u3057\u305f\uff082019\/12\/24\uff09
\n\u7de8\u96c6\u3057\u307e\u3057\u305f\uff082020\/4\/19\uff09<\/p>\n

0. \u74b0\u5883<\/h1>\n
\n
\n

OSWindows10Anaconda5.2.0Python3.6.7<\/p><\/div>\n<\/div>\n

1. VS Code\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9<\/h1>\n

\u307e\u305a\u306f\uff0cVS Code\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u307e\u3059\uff0e
\n\u57fa\u672c\uff0c\u4f55\u3082\u8003\u3048\u305a\u306b[\u6b21\u3078]\u3067\u3044\u3044\u3068\u601d\u3044\u307e\u3059\u304c\uff0c\u300c\u8ffd\u52a0\u30bf\u30b9\u30af\u306e\u9078\u629e\u300d\u3068\u3044\u3046\u3068\u3053\u308d\u3067\u8ffd\u52a0\u30bf\u30b9\u30af\u306e\u8a2d\u5b9a\u304c\u3067\u304d\u307e\u3059\uff0e\u53f3\u30af\u30ea\u30c3\u30af\u30e1\u30cb\u30e5\u30fc\u304b\u3089VS Code\u3092\u4f7f\u3044\u305f\u3044\u5834\u5408\u306f\u30b3\u30f3\u30c6\u30ad\u30b9\u30c8\u30e1\u30cb\u30e5\u30fc\u306b\u95a2\u3059\u308b\u9805\u76ee\u306b\u30c1\u30a7\u30c3\u30af\u3092\u5165\u308c\u3066\u304a\u304f\u3068\u3044\u3044\u304b\u3082\u3057\u308c\u307e\u305b\u3093\uff0e\u3053\u3053\u3067\u306f\uff0c\u5229\u4fbf\u6027\u5411\u4e0a\u306e\u305f\u3081\u5168\u3066\u306b\u30c1\u30a7\u30c3\u30af\u3092\u5165\u308c\u308b\u3053\u3068\u3092\u304a\u52e7\u3081\u3057\u307e\u3059\uff0e<\/p>\n

2. VS Code\u306e\u62e1\u5f35\u6a5f\u80fd\u3092\u5165\u308c\u308b<\/h1>\n
\"test1.png\"<\/div>\n

\u4eca\u56de\u306fPython\u3068Jupyter\u306e\u4ed6\u306b\u79c1\u7684\u304a\u3059\u3059\u3081\u3092\u3044\u304f\u3064\u304bURL\u306e\u30ea\u30f3\u30af\u3092\u3064\u3051\u3066\u7d39\u4ecb\u3057\u307e\u3059\uff0e<\/p>\n

1.\u3000Python\uff1aPython\u306e\u62e1\u5f35\u6a5f\u80fd
\n2.\u3000Jupyter\uff1ajupyter\u306e\u62e1\u5f35\u6a5f\u80fd\u3000(Python\u306e\u62e1\u5f35\u6a5f\u80fd\u306b\u7d44\u307f\u8fbc\u307e\u308c\u305f\u305f\u3081)
\n3.\u3000Bracket Pair Colorizer\uff1a\u62ec\u5f27\u306b\u8272\u304c\u3064\u304f(VS Code\u306e\u57fa\u672c\u6a5f\u80fd\u3068\u3057\u3066\u7d44\u307f\u8fbc\u307e\u308c\u305f\u305f\u3081)
\n4.\u3000Japanese Language Pack for Visual Studio Code\uff1a\u65e5\u672c\u8a9e\u3067\u898b\u3089\u308c\u308b\u3088\u3046\u306b\u3059\u308b
\n5.\u3000vscode-icons\uff1a\u30a2\u30a4\u30b3\u30f3\u3092\u304c\u51fa\u308b\u3088\u3046\u306b\u306a\u308a\uff0c\u5206\u304b\u308a\u3084\u3059\u304f\u306a\u308b
\n6.\u3000indent-rainbow:\u30a4\u30f3\u30c7\u30f3\u30c8\u304c\u628a\u63e1\u3057\u3084\u3059\u304f\u306a\u308b
\n7.\u3000google this:vscode\u304b\u3089google\u691c\u7d22\u306b\u98db\u3079\u308b
\n8.\u3000Visual Studio IntelliCode:\u88dc\u5b8c\u304c\u512a\u79c0\u306b\u306a\u308b
\n9.\u3000Path Intellisense:\u30d1\u30b9\u306e\u5165\u529b\u304c\u3061\u3087\u3063\u3068\u697d\u306b\u306a\u308b\u304b\u3082
\n10.\u3000PrintCode:\u66f8\u3044\u305f\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u4ed6\u4eba\u306b\u898b\u305b\u308b\u3068\u304d\u5370\u5237\u3057\u3066\u898b\u305b\u308c\u308b\u3088\u3046\u306b\u306a\u308b
\n11.\u3000zenkaku:\u5168\u89d2\u30b9\u30da\u30fc\u30b9\u3092\u5f37\u8abf\u3057\u3066\u304f\u308c\u308b<\/p>\n

3. VS Code\u3067\u66f8\u3044\u3066\u307f\u308b<\/h1>\n
\"test1.png\"<\/div>\n

Python<\/h2>\n

\u307e\u305a\u306fPython\u306e\u30b3\u30fc\u30c9\u304c\u52d5\u304f\u304b\u78ba\u8a8d\u3057\u307e\u3059\uff0e\u4e0a\u306e\u624b\u9806\u306b\u5f93\u3063\u3066[hello.py]\u3068\u3044\u3046\u30d5\u30a1\u30a4\u30eb\u3092\u4f5c\u3063\u3066\u304f\u3060\u3055\u3044\uff0e<\/p>\n

msg<\/span>=<\/span>\"<\/span>Hello World<\/span>\"<\/span>\r\nprint<\/span>(<\/span>msg<\/span>)<\/span>\r\n<\/code><\/pre>\n
\u3053\u308c\u304c\u7121\u4e8b\u306b\u52d5\u304f\u306a\u3089\u554f\u984c\u306f\u306a\u3044\u306f\u305a\u3067\u3059\uff0e<\/p>\n
Jupyter<\/h2>\n
\u6b21\u306e\u306bJupyter\u304c\u52d5\u304f\u304b\u78ba\u8a8d\u3057\u307e\u3059\uff0e\u5148\u307b\u3069\u3068\u540c\u69d8\u306b[test.py]\u3068\u3044\u3046\u30d5\u30a1\u30a4\u30eb\u3092\u4f5c\u3063\u3066\u304f\u3060\u3055\u3044\uff0e<\/p>\n
# %%\r\n<\/span>test<\/span>=<\/span>\"<\/span>test now <\/span>\"<\/span>\r\n\r\n# %%\r\n<\/span>print<\/span>(<\/span>test<\/span>)<\/span>\r\n\r\n# %%\r\n<\/span>import<\/span> matplotlib.pyplot<\/span> as<\/span> plt<\/span>\r\nimport<\/span> matplotlib<\/span> as<\/span> mpl<\/span>\r\nimport<\/span> numpy<\/span> as<\/span> np<\/span>\r\n\r\nx<\/span> =<\/span> np<\/span>.<\/span>linspace<\/span>(<\/span>0<\/span>,<\/span> 20<\/span>,<\/span> 100<\/span>)<\/span>\r\nplt<\/span>.<\/span>plot<\/span>(<\/span>x<\/span>,<\/span> np<\/span>.<\/span>sin<\/span>(<\/span>x<\/span>))<\/span>\r\nplt<\/span>.<\/span>show<\/span>()<\/span>\r\n\r\n# %%\r\n<\/span>y<\/span> =<\/span> np<\/span>.<\/span>linspace<\/span>(<\/span>0<\/span>,<\/span> 20<\/span>,<\/span> 100<\/span>)<\/span>\r\nplt<\/span>.<\/span>plot<\/span>(<\/span>y<\/span>,<\/span> np<\/span>.<\/span>cos<\/span>(<\/span>y<\/span>))<\/span>\r\nplt<\/span>.<\/span>show<\/span>()<\/span>\r\n\r\n# %%\r\n<\/span>import<\/span> pandas<\/span> as<\/span> pd<\/span> \r\ndata<\/span> =<\/span> pd<\/span>.<\/span>read_csv<\/span>(<\/span>\"<\/span>\/Users\/~~\/Desktop\/IRIS.csv<\/span>\"<\/span>)<\/span>\r\ndata<\/span>.<\/span>head<\/span>()<\/span>\r\n\r\n# %%\r\n<\/span>a_array<\/span> =<\/span> np<\/span>.<\/span>array<\/span>([<\/span>1<\/span>,<\/span>2<\/span>,<\/span>3<\/span>])<\/span>\r\nb_array<\/span> =<\/span> np<\/span>.<\/span>array<\/span>([<\/span>4<\/span>,<\/span>5<\/span>,<\/span>6<\/span>])<\/span>\r\n\r\nprint<\/span>(<\/span>a_array<\/span>+<\/span>b_array<\/span>)<\/span>\r\n<\/code><\/pre>\n
\"twest.png\"<\/div>\n
#\u8ffd\u8a18\uff082019\/03\/10\uff09
\njupyter\u304cpython\u306e\u62e1\u5f35\u6a5f\u80fd\u306b\u7d44\u307f\u8fbc\u307e\u308c\u307e\u3057\u305f\uff0e\u4eba\u306b\u3088\u3063\u3066\u306f\u4f7f\u3044\u3084\u3059\u304f\u306a\u3063\u305f\u306e\u3067\u3057\u3087\u3046\u3051\u3069\uff0c\u81ea\u5206\u306f\u4f7f\u3044\u3065\u3089\u304f\u306a\u3063\u305f\u3068\u611f\u3058\u305f\u305f\u3081\uff08\u4e3b\u306b\u53ef\u8996\u5316\u9762\u3067\u2026\u76ee\u304c\u75db\u304f\u306a\u308b\u2026\uff09\u5f93\u6765\u306e\u3088\u3046\u306a\u611f\u3058\u306b\u623b\u3057\u3066\u307f\u307e\u3057\u305f\uff0e<\/p>\n
\u5165\u308c\u308b\u62e1\u5f35\u6a5f\u80fd\u306f\u3053\u308c\uff08jupyter\uff09\u3067\u3059\uff0e\u3053\u308c\u3092\u5165\u308c\u308b\u3053\u3068\u3067\uff0c\u5f93\u6765\u3068\u540c\u3058\u3088\u3046\u306a\u52d5\u304d\u3092\u3057\u3066\u304f\u308c\u307e\u3059\uff0e<\/p>\n
#\u8ffd\u8a18\uff082020\/4\/19\uff09
\n\u3053\u308c\uff08jupyter\uff09\u3082\u30b5\u30dd\u30fc\u30c8\u304c\u5207\u308c\u305f\u305f\u3081\u65b0\u305f\u306aPC\u3067\u540c\u4e00\u74b0\u5883\u306e\u69cb\u7bc9\u304c\u3067\u304d\u306a\u304f\u306a\u308a\u307e\u3057\u305f\uff0e
\n\u3057\u304b\u3057\uff0c\u8a2d\u5b9a\u3092\u5c11\u3057\u5f04\u308c\u3070\u4f3c\u305f\u4f3c\u305f\u3088\u3046\u306a\u5f62\u306e\u3044\u306a\u308b\u306e\u3067\u305d\u306e\u7d39\u4ecb\u3067\u3059\uff0e<\/p>\n
    \n
  1. \n
      [ctrl]+[,]\u3092\u62bc\u3057\uff0c\u8a2d\u5b9a\u3092\u958b\u304d\u307e\u3059\uff0e<\/ol>\n<\/li>\n<\/ol>\n
       <\/p>\n
        \n
      1. \n
          \u300c\u8a2d\u5b9a\u306e\u691c\u7d22\u300d\u3068\u8868\u793a\u3055\u308c\u305f\u30a6\u30a3\u30f3\u30c9\u30a6\u306b\u300cData Science: Max Output Size\u300d\u3068\u5165\u529b\u3057\u307e\u3059\uff0e<\/ol>\n<\/li>\n<\/ol>\n
           <\/p>\n
            \n
          1. \n
              \u305d\u3053\u306b\u66f8\u304b\u308c\u3066\u3044\u308b\u6570\u5b57\u3092\u300c-1\u300d\u306b\u5909\u66f4\u3057\u307e\u3059\uff0e<\/ol>\n<\/li>\n<\/ol>\n
               <\/p>\n
                \u3053\u308c\u3067\u30b0\u30e9\u30d5\u7b49\u306e\u51fa\u529b\u306f\u4eca\u307e\u3067\u3068\u4f3c\u305f\u3088\u3046\u306a\u5f62\u306b\u306a\u308a\u307e\u3059\uff0e<\/ol>\n
                \u304a\u308f\u308a\u306b<\/h1>\n
                \u4e0a\u8a18\u306e\u6d41\u308c\u3067\u884c\u3048\u3070\u52d5\u304f\u306f\u305a\u3067\u3059\uff0e\u3044\u308d\u3044\u308d\u81f3\u3089\u306a\u3044\u3068\u3053\u308d\u304c\u3042\u308b\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u304c\uff0c\u305d\u306e\u70b9\u306f\u30b3\u30e1\u30f3\u30c8\u7b49\u3067\u6307\u6458\u3057\u3066\u304f\u308c\u308b\u3068\u5b09\u3057\u3044\u3067\u3059\uff0e<\/p>\n
                \u53c2\u8003\u30b5\u30a4\u30c8<\/h1>\n
                https:\/\/www.sejuku.net\/blog\/40607
                \nhttp:\/\/www.atmarkit.co.jp\/ait\/articles\/1806\/12\/news041.html
                \nhttp:\/\/www.atmarkit.co.jp\/ait\/articles\/1805\/22\/news043.html
                \nhttp:\/\/www.atmarkit.co.jp\/ait\/articles\/1711\/24\/news034.html<\/p>\n","protected":false},"excerpt":{"rendered":"
                \u306f\u3058\u3081\u306b VS Code\u3092\u4f7f\u3063\u3066\u3044\u308b\u4eba\u304b\u3089\u52e7\u3081\u3089\u308c\u305f\u306e\u3068\uff0c\u3053\u308c1\u3064\u3067\u69d8\u3005\u306a\u8a00\u8a9e\u306b\u89e6\u308c\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u306e\u3067\u5165\u308c\u308b\u3053 […]<\/p>\n","protected":false},"author":10,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-46555","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\/46555-2\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:description\" content=\"\u306f\u3058\u3081\u306b VS Code\u3092\u4f7f\u3063\u3066\u3044\u308b\u4eba\u304b\u3089\u52e7\u3081\u3089\u308c\u305f\u306e\u3068\uff0c\u3053\u308c1\u3064\u3067\u69d8\u3005\u306a\u8a00\u8a9e\u306b\u89e6\u308c\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u306e\u3067\u5165\u308c\u308b\u3053 […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.silicloud.com\/zh\/blog\/46555-2\/\" \/>\n<meta property=\"og:site_name\" content=\"Blog - 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