{"id":4628,"date":"2020-04-20T16:25:37","date_gmt":"2020-04-20T08:25:37","guid":{"rendered":"https:\/\/vip.fxxkpython.com\/?p=4628"},"modified":"2020-04-20T16:25:39","modified_gmt":"2020-04-20T08:25:39","slug":"python-%e6%95%b0%e6%8d%ae%e5%8f%af%e8%a7%86%e5%8c%96-01-juypter-%e5%ae%89%e8%a3%85%e4%b8%8e%e4%bd%bf%e7%94%a8","status":"publish","type":"post","link":"https:\/\/vip.fxxkpython.com\/?p=4628","title":{"rendered":"Python \u6570\u636e\u53ef\u89c6\u5316 01 | Juypter \u5b89\u88c5\u4e0e\u4f7f\u7528"},"content":{"rendered":"\n

\u4ec0\u4e48\u662f Juypter<\/h2>\n\n\n\n

\u5728\u6570\u636e\u53ef\u89c6\u5316\u65b9\u9762\uff0c\u5e38\u7528\u5230\u7684\u8fd8\u662f\u57fa\u4e8e IPython \u7684\u7f16\u8f91\u5668 Juypter Notebook \uff0c\u5728\u8fd9\u91cc\u5199\u7684\u4ee3\u7801\uff0c\u53ef\u4ee5\u5feb\u901f\u770b\u5230\u4ea4\u4e92\uff0c\u6bd4\u5982\u6570\u636e\u7684\u53ef\u89c6\u5316\u7684\u56fe\u7247\u3001HTML\u7684\u7b49\u7b49\uff0c\u800c\u4e14\u8fd8\u53ef\u4ee5\u5728\u91cc\u9762\u76f4\u63a5\u4e66\u5199 Markdown \u8bed\u8a00\uff0c\u8d3c\u65b9\u4fbf\u6709\u6ca1\u6709\u3002<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

\u5b89\u88c5 Juypter<\/h2>\n\n\n\n

\u901a\u8fc7 Anaconda \u5b89\u88c5<\/h3>\n\n\n\n

\u4f60\u53ef\u4ee5\u4e0b\u8f7d anaconda <\/a>\uff0c\u5b83\u91cc\u9762\u5305\u542b\u4e86\u5f88\u591a\u6570\u636e\u5206\u6790\u4e13\u7528\u7684 Python \u548c R \u76f8\u5173\u7684\u5e93\uff0c\u96c6\u6210\u4e86\u4e00\u4e9b\u5e38\u7528\u5230\u7684\u6570\u636e\u53ef\u89c6\u5316\u7684\u5e38\u7528\u5de5\u5177\uff0c Juypter \u5c31\u662f\u5176\u4e2d\u4e4b\u4e00\u3002<\/p>\n\n\n\n

\u5b89\u88c5\u7684\u65f6\u5019\u8bb0\u5f97\u5b89\u88c5\u6700\u65b0\u7248\u672c\u4e86\u54e6\uff0c\u522b\u7279\u4e48\u8fd8\u53bb\u5b89\u88c5 2.7 \u7684\uff1a<\/p>\n\n\n\n

\"\"<\/figure><\/div>\n\n\n\n

\u5b89\u88c5\u5b8c\u6210\u4e4b\u540e\u4f60\u5c31\u62e5\u6709\u4e86 Jupyter Notebook \u4e86\u3002<\/p>\n\n\n\n

\u8fdb\u5165\u4f60\u521a\u5b89\u88c5\u597d\u7684 Anaconda \u7684 bin \u76ee\u5f55\uff0c\u6267\u884c .\/jupyter notebook<\/p>\n\n\n\n

\"\"<\/figure><\/div>\n\n\n\n

\u901a\u8fc7 pip \u5b89\u88c5<\/h3>\n\n\n\n

\u5f53\u7136\uff0c\u4f60\u4e5f\u53ef\u4ee5\u901a\u8fc7 pip \u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n\n\n\n

pip3 install –upgrade pip
pip3 install jupyter
<\/p><\/blockquote>\n\n\n\n

\u63a5\u7740\u4f7f\u7528 jupyter notebook \u8fd0\u884c\u3002<\/p>\n\n\n\n

\"\"<\/figure><\/div>\n\n\n\n

Juypter \u5e38\u7528\u64cd\u4f5c\u6307\u5357<\/h2>\n\n\n\n

\u5b89\u88c5\u5b8c\u6210\u4e4b\u540e\uff0c\u5c0f\u5e05b\u5c31\u6765\u8ddf\u4f60\u8bf4\u8bf4 Juypter \u7684\u5e38\u7528\u5230\u7684\u64cd\u4f5c\uff0c\u8ba9\u4f60\u80fd\u591f\u66f4\u52a0\u9ad8\u6548\u7684\u4f7f\u7528\u8fd9\u4e2a\u5de5\u5177\u3002<\/p>\n\n\n\n

\u521b\u5efa Jupyter \u6587\u4ef6<\/h3>\n\n\n\n

\u70b9\u51fb\u53f3\u4e0a\u89d2

\u672c\u6587\u9690\u85cf\u5185\u5bb9 \u767b\u9646<\/a> \u540e\u624d\u53ef\u4ee5\u6d4f\u89c8<\/div>\u56e0\u4e3a Juypter \u662f\u57fa\u4e8e Ipython \u7684\uff0c\u6240\u4ee5 IPython \u5e38\u7528\u7684\u64cd\u4f5c\u4e5f\u53ef\u4ee5\u5728\u8fd9\u91cc\u4f7f\u7528\uff0c\u5173\u4e8e Ipython \u7684\u5e38\u7528\u64cd\u4f5c\u6211\u4e4b\u524d\u5df2\u7ecf\u5199\u8fc7\u4e00\u7bc7\uff0c\u6211\u5c31\u4e0d\u518d\u591a\u5570\u55e6\uff0c\u5177\u4f53\u53ef\u4ee5\u770b\u8fd9\u91cc\uff1aIpython \u5b83\u4e0d\u9999\u561b\uff1f<\/a><\/p>\n\n\n\n

ok\uff0c\u5efa\u8bae\u4f60\u53ef\u4ee5\u628a Anaconda \/ Juypter \u5b89\u88c5\u8d77\u6765\uff0c\u7136\u540e\u5c06\u4ee5\u4e0a\u6d89\u53ca\u5230\u7684\u4e00\u4e9b\u64cd\u4f5c\u719f\u6089\u719f\u6089\uff0c\u8fd9\u6837\u4e4b\u540e\u518d\u8ddf\u4f60\u8bf4\u4e00\u4e9b\u6570\u636e\u76f8\u5173\u7684\u64cd\u4f5c\u7684\u65f6\u5019\uff0c\u4f60\u4f7f\u7528\u8d77\u6765\u4f1a\u66f4\u52a0\u987a\u624b\u4e00\u4e9b\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

\u4ec0\u4e48\u662f Juypter \u5728\u6570\u636e\u53ef\u89c6\u5316\u65b9\u9762\uff0c\u5e38\u7528\u5230\u7684\u8fd8\u662f\u57fa\u4e8e IPython \u7684\u7f16\u8f91\u5668 Juypter Notebook \uff0c\u5728\u8fd9\u91cc\u5199\u7684\u4ee3\u7801\uff0c\u53ef\u4ee5\u5feb\u901f\u770b\u5230\u4ea4\u4e92\uff0c\u6bd4\u5982\u6570\u636e\u7684\u53ef\u89c6\u5316\u7684\u56fe\u7247\u3001HTML\u7684\u7b49\u7b49\uff0c\u800c\u4e14\u8fd8\u53ef\u4ee5\u5728\u91cc\u9762\u76f4\u63a5\u4e66\u5199 Markdown \u8bed\u8a00\uff0c\u8d3c\u65b9…<\/p>\n","protected":false},"author":1,"featured_media":4629,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[393],"tags":[398,385,397,137,19,399,394],"_links":{"self":[{"href":"https:\/\/vip.fxxkpython.com\/index.php?rest_route=\/wp\/v2\/posts\/4628"}],"collection":[{"href":"https:\/\/vip.fxxkpython.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/vip.fxxkpython.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/vip.fxxkpython.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/vip.fxxkpython.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4628"}],"version-history":[{"count":3,"href":"https:\/\/vip.fxxkpython.com\/index.php?rest_route=\/wp\/v2\/posts\/4628\/revisions"}],"predecessor-version":[{"id":4646,"href":"https:\/\/vip.fxxkpython.com\/index.php?rest_route=\/wp\/v2\/posts\/4628\/revisions\/4646"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/vip.fxxkpython.com\/index.php?rest_route=\/wp\/v2\/media\/4629"}],"wp:attachment":[{"href":"https:\/\/vip.fxxkpython.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4628"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/vip.fxxkpython.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4628"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/vip.fxxkpython.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4628"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}