{"id":3310,"date":"2022-08-13T08:06:47","date_gmt":"2022-08-12T23:06:47","guid":{"rendered":"https:\/\/www.dogrow.net\/python\/?p=3310"},"modified":"2022-08-16T05:48:58","modified_gmt":"2022-08-15T20:48:58","slug":"blog116","status":"publish","type":"post","link":"https:\/\/www.dogrow.net\/python\/blog116\/","title":{"rendered":"(116) Anaconda\u306b\u4efb\u610f\u306e\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u8ffd\u52a0\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb"},"content":{"rendered":"<h1 class=\"my_h\">1. \u3084\u308a\u305f\u3044\u3053\u3068<\/h1>\n<p>Anaconda\u306b\u4efb\u610f\u306e\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u8ffd\u52a0\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u305f\u3044\u3002<\/p>\n<h1 class=\"my_h\">2. \u3084\u3063\u3066\u307f\u308b<\/h1>\n<h3 class=\"my_h\">(1) \u30d1\u30c3\u30b1\u30fc\u30b8\u306e\u5b58\u5728\u3092\u78ba\u8a8d\u3059\u308b\u3002<\/h3>\n<p>\u4ee5\u4e0b\u306e Anaconda\u516c\u5f0f\u30b5\u30a4\u30c8\u306e\u30d1\u30c3\u30b1\u30fc\u30b8\u4e00\u89a7\u3092\u53c2\u7167\u3059\u308b\u3002<br \/>\n<a href=\"https:\/\/docs.anaconda.com\/anaconda\/packages\/pkg-docs\/\" target=\"_blank\" rel=\"noopener\">https:\/\/docs.anaconda.com\/anaconda\/packages\/pkg-docs\/<br \/>\n<img decoding=\"async\" src=\"https:\/\/www.dogrow.net\/python\/wp-content\/uploads\/2022\/08\/i001-1.jpg\" alt=\"\" class=\"my_add_bs1\" \/><\/a><\/p>\n<p>Anaconda\u3092\u4f7f\u3063\u3066\u3044\u308b\u81ea\u5206\u306e\u74b0\u5883\u306e OS\u3068 Python\u30d0\u30fc\u30b8\u30e7\u30f3\u306b\u5408\u3046\u30e1\u30cb\u30e5\u30fc\u3092\u9078\u629e\u3059\u308b\u3002<\/p>\n<p>\u30d1\u30c3\u30b1\u30fc\u30b8\u4e00\u89a7\u304c\u8868\u793a\u3055\u308c\u308b\u306e\u3067\u3001\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u305f\u3044\u30d1\u30c3\u30b1\u30fc\u30b8\u306e <span class=\"my_fc_deeppinkB\">Name<\/span> \u3092\u78ba\u8a8d\u3059\u308b\u3002<br \/>\n<img decoding=\"async\" src=\"https:\/\/www.dogrow.net\/python\/wp-content\/uploads\/2022\/08\/i002-1.jpg\" alt=\"\" class=\"my_add_bs1\" \/><\/p>\n<p>\u3053\u3053\u3067\u306f <span class=\"my_fc_deeppinkB\">html5lib<\/span> \u3092\u8ffd\u52a0\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u305f\u3044\u306e\u3067\u3001\u3053\u308c\u3092 conda\u30b3\u30de\u30f3\u30c9\u3067\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3059\u308b\u3002<\/p>\n<pre class=\"my_pre_python\">\r\n[hoge@] $ <span class=\"my_fc_deeppinkB\">conda install html5lib<\/span>\r\n\r\nCollecting package metadata (current_repodata.json): done\r\nSolving environment: done\r\n\r\n## Package Plan ##\r\n\r\n  environment location: \/home\/dog\/anaconda3\r\n\r\n  added \/ updated specs:\r\n    - html5lib\r\n\r\nThe following packages will be downloaded:\r\n\r\n    package                    |            build\r\n    ---------------------------|-----------------\r\n    html5lib-1.1               |     pyhd3eb1b0_0          91 KB\r\n    ------------------------------------------------------------\r\n                                           Total:          91 KB\r\n\r\nThe following NEW packages will be INSTALLED:\r\n\r\n  html5lib           pkgs\/main\/noarch::html5lib-1.1-pyhd3eb1b0_0\r\n\r\nProceed ([y]\/n)? y\r\n\r\nDownloading and Extracting Packages\r\nhtml5lib-1.1         | 91 KB     | ################################################################################################################################################### | 100%\r\nPreparing transaction: done\r\nVerifying transaction: done\r\nExecuting transaction: done\r\n<\/pre>\n<p>\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u304c\u5b8c\u4e86\u3057\u305f\uff01<\/p>\n<hr class=\"my_hr_bottom\">\n","protected":false},"excerpt":{"rendered":"<p>1. \u3084\u308a\u305f\u3044\u3053\u3068 Anaconda\u306b\u4efb\u610f\u306e\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u8ffd\u52a0\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\u3057\u305f\u3044\u3002 2. \u3084\u3063\u3066\u307f\u308b (1) \u30d1\u30c3\u30b1\u30fc\u30b8\u306e\u5b58\u5728\u3092\u78ba\u8a8d\u3059\u308b\u3002 \u4ee5\u4e0b\u306e Anaconda\u516c\u5f0f\u30b5\u30a4\u30c8\u306e\u30d1\u30c3\u30b1\u30fc\u30b8\u4e00\u89a7\u3092\u53c2\u7167\u3059\u308b\u3002 https:\/\/d\u2026 <span class=\"read-more\"><a href=\"https:\/\/www.dogrow.net\/python\/blog116\/\">\u7d9a\u304d\u3092\u8aad\u3080 &raquo;<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[43],"tags":[],"class_list":["post-3310","post","type-post","status-publish","format-standard","hentry","category-anaconda"],"views":1569,"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/posts\/3310","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/comments?post=3310"}],"version-history":[{"count":3,"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/posts\/3310\/revisions"}],"predecessor-version":[{"id":3316,"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/posts\/3310\/revisions\/3316"}],"wp:attachment":[{"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/media?parent=3310"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/categories?post=3310"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dogrow.net\/python\/wp-json\/wp\/v2\/tags?post=3310"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}