{"id":1006871,"date":"2024-12-27T10:48:19","date_gmt":"2024-12-27T02:48:19","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1006871.html"},"modified":"2024-12-27T10:48:22","modified_gmt":"2024-12-27T02:48:22","slug":"%e5%a6%82%e4%bd%95%e7%94%a8python%e6%89%93%e5%bc%80jupyter","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1006871.html","title":{"rendered":"\u5982\u4f55\u7528python\u6253\u5f00jupyter"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25082823\/fd2e98b6-d2d0-49fa-94b3-3c8addf799f0.webp\" alt=\"\u5982\u4f55\u7528python\u6253\u5f00jupyter\" \/><\/p>\n<p><h3>\u5f00\u5934\u6bb5\u843d<\/h3>\n<\/p>\n<p><p><strong>\u4f7f\u7528Python\u6253\u5f00Jupyter Notebook\u7684\u5e38\u89c1\u6b65\u9aa4\u5305\u62ec\uff1a\u5b89\u88c5Anaconda\u3001\u542f\u52a8Anaconda Navigator\u3001\u4f7f\u7528\u547d\u4ee4\u884c\u542f\u52a8Jupyter Notebook\u3002<\/strong> \u5176\u4e2d\uff0c\u4f7f\u7528Anaconda\u662f\u6700\u4e3a\u63a8\u8350\u7684\u65b9\u5f0f\uff0c\u56e0\u4e3a\u5b83\u4e0d\u4ec5\u80fd\u5e2e\u52a9\u7528\u6237\u8f7b\u677e\u5b89\u88c5\u548c\u7ba1\u7406Python\u73af\u5883\uff0c\u8fd8\u80fd\u5904\u7406\u5404\u79cd\u4f9d\u8d56\u5e93\u7684\u5b89\u88c5\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u7528\u6237\u9700\u8981\u9996\u5148\u5728Anaconda\u5b98\u7f51\u4e0b\u8f7d\u5b89\u88c5\u5305\u5e76\u8fdb\u884c\u5b89\u88c5\u3002\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7Anaconda Navigator\u56fe\u5f62\u754c\u9762\u542f\u52a8Jupyter Notebook\uff0c\u4e5f\u53ef\u4ee5\u901a\u8fc7\u547d\u4ee4\u884c\u76f4\u63a5\u542f\u52a8\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u63a2\u8ba8\u8fd9\u4e9b\u6b65\u9aa4\u4ee5\u53ca\u5176\u4ed6\u53ef\u80fd\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u5b89\u88c5Anaconda<\/h3>\n<\/p>\n<p><p>Anaconda\u662f\u4e00\u6b3e\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u7684Python\u53d1\u884c\u7248\uff0c\u80fd\u591f\u5e2e\u52a9\u7528\u6237\u5feb\u901f\u914d\u7f6ePython\u73af\u5883\u53ca\u5176\u76f8\u5173\u7684\u5de5\u5177\u3002<\/p>\n<\/p>\n<p><h4>1. \u4e0b\u8f7d\u4e0e\u5b89\u88c5<\/h4>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u8bbf\u95eeAnaconda\u7684\u5b98\u65b9\u7f51\u7ad9\u5e76\u4e0b\u8f7d\u9002\u5408\u60a8\u64cd\u4f5c\u7cfb\u7edf\u7684\u5b89\u88c5\u5305\u3002\u5b89\u88c5\u8fc7\u7a0b\u5341\u5206\u7b80\u5355\uff0c\u53ea\u9700\u6309\u7167\u63d0\u793a\u8fdb\u884c\u64cd\u4f5c\u5373\u53ef\u3002\u5b89\u88c5\u8fc7\u7a0b\u4e2d\u5efa\u8bae\u9009\u62e9\u201c\u6dfb\u52a0\u5230\u73af\u5883\u53d8\u91cf\u201d\u9009\u9879\uff0c\u8fd9\u6837\u53ef\u4ee5\u65b9\u4fbf\u5730\u5728\u547d\u4ee4\u884c\u4f7f\u7528Anaconda\u76f8\u5173\u547d\u4ee4\u3002<\/p>\n<\/p>\n<p><h4>2. \u914d\u7f6e\u73af\u5883<\/h4>\n<\/p>\n<p><p>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7Anaconda Navigator\u754c\u9762\u6765\u7ba1\u7406Python\u73af\u5883\u3002\u7528\u6237\u53ef\u4ee5\u521b\u5efa\u65b0\u7684\u73af\u5883\uff0c\u5b89\u88c5\u4e0d\u540c\u7684Python\u7248\u672c\u4ee5\u53ca\u76f8\u5173\u7684\u5e93\u548c\u5de5\u5177\u3002Anaconda\u8fd8\u63d0\u4f9b\u4e86\u4e00\u4e2a\u547d\u4ee4\u884c\u5de5\u5177<code>conda<\/code>\uff0c\u7528\u4e8e\u5728\u7ec8\u7aef\u4e2d\u64cd\u4f5c\u73af\u5883\u548c\u5305\u3002<\/p>\n<\/p>\n<p><h3>\u4e8c\u3001\u901a\u8fc7Anaconda Navigator\u542f\u52a8Jupyter Notebook<\/h3>\n<\/p>\n<p><p>Anaconda Navigator\u662f\u4e00\u4e2a\u56fe\u5f62\u754c\u9762\u5de5\u5177\uff0c\u65b9\u4fbf\u7528\u6237\u7ba1\u7406Python\u73af\u5883\u548c\u542f\u52a8\u76f8\u5173\u5e94\u7528\u3002<\/p>\n<\/p>\n<p><h4>1. \u6253\u5f00Anaconda Navigator<\/h4>\n<\/p>\n<p><p>\u5728\u5f00\u59cb\u83dc\u5355\u6216\u5e94\u7528\u7a0b\u5e8f\u5217\u8868\u4e2d\u627e\u5230\u5e76\u6253\u5f00Anaconda Navigator\u3002\u521d\u6b21\u542f\u52a8\u53ef\u80fd\u9700\u8981\u4e00\u4e9b\u65f6\u95f4\uff0c\u56e0\u4e3a\u5b83\u9700\u8981\u52a0\u8f7d\u73af\u5883\u548c\u5e94\u7528\u4fe1\u606f\u3002<\/p>\n<\/p>\n<p><h4>2. \u542f\u52a8Jupyter Notebook<\/h4>\n<\/p>\n<p><p>\u5728Anaconda Navigator\u7684\u754c\u9762\u4e2d\uff0c\u60a8\u4f1a\u770b\u5230\u4e00\u4e2a\u201cJupyter Notebook\u201d\u7684\u9009\u9879\u3002\u70b9\u51fb\u201cLaunch\u201d\u6309\u94ae\uff0cJupyter Notebook\u5c06\u4f1a\u5728\u9ed8\u8ba4\u7684\u6d4f\u89c8\u5668\u4e2d\u6253\u5f00\u3002\u6b64\u65f6\uff0c\u60a8\u53ef\u4ee5\u9009\u62e9\u6253\u5f00\u5df2\u6709\u7684\u7b14\u8bb0\u672c\u6587\u4ef6\u6216\u521b\u5efa\u65b0\u7684\u7b14\u8bb0\u672c\u3002<\/p>\n<\/p>\n<p><h3>\u4e09\u3001\u4f7f\u7528\u547d\u4ee4\u884c\u542f\u52a8Jupyter Notebook<\/h3>\n<\/p>\n<p><p>\u5bf9\u4e8e\u4e60\u60ef\u4f7f\u7528\u547d\u4ee4\u884c\u7684\u7528\u6237\uff0c\u53ef\u4ee5\u901a\u8fc7\u547d\u4ee4\u884c\u76f4\u63a5\u542f\u52a8Jupyter Notebook\u3002<\/p>\n<\/p>\n<p><h4>1. \u6253\u5f00\u547d\u4ee4\u884c\u5de5\u5177<\/h4>\n<\/p>\n<p><p>\u5728Windows\u4e0a\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528\u201c\u547d\u4ee4\u63d0\u793a\u7b26\u201d\u6216\u201cPowerShell\u201d\uff1b\u5728macOS\u6216Linux\u4e0a\uff0c\u4f7f\u7528\u201c\u7ec8\u7aef\u201d\u3002<\/p>\n<\/p>\n<p><h4>2. \u6fc0\u6d3b\u73af\u5883<\/h4>\n<\/p>\n<p><p>\u5982\u679c\u60a8\u5728Anaconda\u4e2d\u521b\u5efa\u4e86\u591a\u4e2aPython\u73af\u5883\uff0c\u9996\u5148\u9700\u8981\u6fc0\u6d3b\u60a8\u60f3\u8981\u4f7f\u7528\u7684\u73af\u5883\u3002\u4f7f\u7528<code>conda activate your-environment-name<\/code>\u547d\u4ee4\u6765\u6fc0\u6d3b\u73af\u5883\u3002<\/p>\n<\/p>\n<p><h4>3. \u542f\u52a8Jupyter Notebook<\/h4>\n<\/p>\n<p><p>\u5728\u547d\u4ee4\u884c\u4e2d\u8f93\u5165<code>jupyter notebook<\/code>\uff0c\u7136\u540e\u6309\u4e0b\u56de\u8f66\u952e\u3002Jupyter Notebook\u5c06\u4f1a\u5728\u9ed8\u8ba4\u7684\u6d4f\u89c8\u5668\u4e2d\u542f\u52a8\uff0c\u5e76\u663e\u793a\u5f53\u524d\u76ee\u5f55\u4e0b\u7684\u6587\u4ef6\u5217\u8868\u3002<\/p>\n<\/p>\n<p><h3>\u56db\u3001\u5b89\u88c5Jupyter Notebook\uff08\u975eAnaconda\uff09<\/h3>\n<\/p>\n<p><p>\u5982\u679c\u60a8\u4e0d\u60f3\u4f7f\u7528Anaconda\uff0c\u4e5f\u53ef\u4ee5\u901a\u8fc7pip\u5b89\u88c5Jupyter Notebook\u3002<\/p>\n<\/p>\n<p><h4>1. \u5b89\u88c5Python\u548cpip<\/h4>\n<\/p>\n<p><p>\u786e\u4fdd\u60a8\u7684\u7cfb\u7edf\u5df2\u7ecf\u5b89\u88c5\u4e86Python\u53ca\u5176\u5305\u7ba1\u7406\u5de5\u5177pip\u3002\u53ef\u4ee5\u901a\u8fc7\u547d\u4ee4<code>python --version<\/code>\u548c<code>pip --version<\/code>\u6765\u68c0\u67e5\u3002<\/p>\n<\/p>\n<p><h4>2. \u4f7f\u7528pip\u5b89\u88c5Jupyter Notebook<\/h4>\n<\/p>\n<p><p>\u5728\u547d\u4ee4\u884c\u4e2d\u8f93\u5165<code>pip install jupyter<\/code>\uff0c\u5e76\u6309\u4e0b\u56de\u8f66\u952e\u3002pip\u4f1a\u81ea\u52a8\u4e0b\u8f7d\u5e76\u5b89\u88c5Jupyter Notebook\u53ca\u5176\u76f8\u5173\u4f9d\u8d56\u3002<\/p>\n<\/p>\n<p><h4>3. \u542f\u52a8Jupyter Notebook<\/h4>\n<\/p>\n<p><p>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u540c\u6837\u53ef\u4ee5\u901a\u8fc7\u547d\u4ee4\u884c\u8f93\u5165<code>jupyter notebook<\/code>\u6765\u542f\u52a8Jupyter Notebook\u3002<\/p>\n<\/p>\n<p><h3>\u4e94\u3001Jupyter Notebook\u7684\u57fa\u672c\u4f7f\u7528<\/h3>\n<\/p>\n<p><p>\u542f\u52a8Jupyter Notebook\u540e\uff0c\u60a8\u53ef\u4ee5\u5728\u6d4f\u89c8\u5668\u4e2d\u8bbf\u95ee\u5176\u754c\u9762\uff0c\u8fdb\u884cPython\u5f00\u53d1\u3002<\/p>\n<\/p>\n<p><h4>1. \u521b\u5efa\u65b0\u7b14\u8bb0\u672c<\/h4>\n<\/p>\n<p><p>\u5728Jupyter Notebook\u7684\u4e3b\u9875\u4e0a\uff0c\u70b9\u51fb\u201cNew\u201d\u6309\u94ae\uff0c\u7136\u540e\u9009\u62e9\u201cPython 3\u201d\u6765\u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u7b14\u8bb0\u672c\u6587\u4ef6\u3002\u5728\u65b0\u7684\u7b14\u8bb0\u672c\u4e2d\uff0c\u60a8\u53ef\u4ee5\u7f16\u5199\u5e76\u8fd0\u884cPython\u4ee3\u7801\u3002<\/p>\n<\/p>\n<p><h4>2. \u7f16\u8f91\u4e0e\u8fd0\u884c\u4ee3\u7801<\/h4>\n<\/p>\n<p><p>\u5728\u7b14\u8bb0\u672c\u7684\u5355\u5143\u683c\u4e2d\u8f93\u5165Python\u4ee3\u7801\uff0c\u6309\u4e0bShift+Enter\u952e\u6765\u8fd0\u884c\u4ee3\u7801\u5e76\u67e5\u770b\u7ed3\u679c\u3002Jupyter Notebook\u652f\u6301\u591a\u79cd\u6570\u636e\u683c\u5f0f\u7684\u8f93\u51fa\uff0c\u5305\u62ec\u6587\u672c\u3001\u56fe\u50cf\u548cHTML\u3002<\/p>\n<\/p>\n<p><h4>3. \u4fdd\u5b58\u4e0e\u5bfc\u51fa<\/h4>\n<\/p>\n<p><p>\u5b8c\u6210\u5de5\u4f5c\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u201cFile\u201d\u83dc\u5355\u9009\u62e9\u201cSave and Checkpoint\u201d\u6765\u4fdd\u5b58\u7b14\u8bb0\u672c\u6587\u4ef6\u3002Jupyter Notebook\u8fd8\u652f\u6301\u5c06\u6587\u4ef6\u5bfc\u51fa\u4e3a\u591a\u79cd\u683c\u5f0f\uff0c\u5982HTML\u3001PDF\u548cMarkdown\u3002<\/p>\n<\/p>\n<p><h3>\u516d\u3001Jupyter Notebook\u7684\u9ad8\u7ea7\u529f\u80fd<\/h3>\n<\/p>\n<p><p>Jupyter Notebook\u4e0d\u4ec5\u53ef\u4ee5\u7528\u6765\u7f16\u5199\u548c\u8fd0\u884cPython\u4ee3\u7801\uff0c\u8fd8\u652f\u6301\u8bb8\u591a\u5176\u4ed6\u529f\u80fd\uff0c\u5e2e\u52a9\u7528\u6237\u8fdb\u884c\u6570\u636e\u5206\u6790\u548c\u53ef\u89c6\u5316\u3002<\/p>\n<\/p>\n<p><h4>1. \u4f7f\u7528Markdown<\/h4>\n<\/p>\n<p><p>Jupyter Notebook\u7684\u4e00\u4e2a\u91cd\u8981\u7279\u6027\u662f\u652f\u6301Markdown\u8bed\u6cd5\uff0c\u5141\u8bb8\u7528\u6237\u5728\u7b14\u8bb0\u672c\u4e2d\u6dfb\u52a0\u5bcc\u6587\u672c\u8bf4\u660e\u3002\u60a8\u53ef\u4ee5\u5728\u5355\u5143\u683c\u4e2d\u9009\u62e9\u201cMarkdown\u201d\u6a21\u5f0f\uff0c\u7136\u540e\u8f93\u5165Markdown\u683c\u5f0f\u7684\u6587\u672c\uff0c\u6309\u4e0bShift+Enter\u8fdb\u884c\u6e32\u67d3\u3002<\/p>\n<\/p>\n<p><h4>2. \u4ea4\u4e92\u5f0f\u5c0f\u90e8\u4ef6<\/h4>\n<\/p>\n<p><p>\u901a\u8fc7ipywidgets\u5e93\uff0c\u60a8\u53ef\u4ee5\u5728Jupyter Notebook\u4e2d\u521b\u5efa\u4ea4\u4e92\u5f0f\u5c0f\u90e8\u4ef6\uff0c\u5982\u6ed1\u5757\u3001\u6309\u94ae\u548c\u4e0b\u62c9\u5217\u8868\u3002\u8fd9\u4e9b\u5c0f\u90e8\u4ef6\u53ef\u4ee5\u4e0ePython\u4ee3\u7801\u8054\u52a8\uff0c\u5b9e\u65f6\u66f4\u65b0\u8f93\u51fa\u7ed3\u679c\u3002<\/p>\n<\/p>\n<p><h4>3. \u6570\u636e\u53ef\u89c6\u5316<\/h4>\n<\/p>\n<p><p>Jupyter Notebook\u96c6\u6210\u4e86\u591a\u79cd\u6570\u636e\u53ef\u89c6\u5316\u5de5\u5177\uff0c\u5982Matplotlib\u548cSeaborn\u3002\u60a8\u53ef\u4ee5\u4f7f\u7528\u8fd9\u4e9b\u5de5\u5177\u5728\u7b14\u8bb0\u672c\u4e2d\u521b\u5efa\u5404\u7c7b\u56fe\u8868\uff0c\u4ee5\u76f4\u89c2\u5730\u5c55\u793a\u6570\u636e\u5206\u6790\u7ed3\u679c\u3002<\/p>\n<\/p>\n<p><h3>\u4e03\u3001\u89e3\u51b3\u5e38\u89c1\u95ee\u9898<\/h3>\n<\/p>\n<p><p>\u5728\u4f7f\u7528Jupyter Notebook\u65f6\uff0c\u53ef\u80fd\u4f1a\u9047\u5230\u4e00\u4e9b\u5e38\u89c1\u7684\u95ee\u9898\uff0c\u4e86\u89e3\u5982\u4f55\u89e3\u51b3\u8fd9\u4e9b\u95ee\u9898\u662f\u975e\u5e38\u91cd\u8981\u7684\u3002<\/p>\n<\/p>\n<p><h4>1. \u65e0\u6cd5\u542f\u52a8Jupyter Notebook<\/h4>\n<\/p>\n<p><p>\u5982\u679c\u5728\u542f\u52a8Jupyter Notebook\u65f6\u9047\u5230\u95ee\u9898\uff0c\u9996\u5148\u68c0\u67e5\u662f\u5426\u6b63\u786e\u5b89\u88c5\u4e86Python\u548cJupyter Notebook\u5305\u3002\u53ef\u4ee5\u5c1d\u8bd5\u91cd\u65b0\u5b89\u88c5\u6216\u66f4\u65b0\u8fd9\u4e9b\u8f6f\u4ef6\u3002<\/p>\n<\/p>\n<p><h4>2. \u6d4f\u89c8\u5668\u65e0\u6cd5\u6253\u5f00<\/h4>\n<\/p>\n<p><p>\u5982\u679cJupyter Notebook\u6ca1\u6709\u81ea\u52a8\u5728\u6d4f\u89c8\u5668\u4e2d\u6253\u5f00\uff0c\u60a8\u53ef\u4ee5\u624b\u52a8\u5728\u6d4f\u89c8\u5668\u4e2d\u8f93\u5165\u542f\u52a8\u65f6\u663e\u793a\u7684URL\uff0c\u901a\u5e38\u662f<a href=\"http:\/\/localhost:8888%E3%80%82\">http:\/\/localhost:8888\u3002<\/a><\/p>\n<\/p>\n<p><h4>3. \u5185\u6838\u95ee\u9898<\/h4>\n<\/p>\n<p><p>\u6709\u65f6Jupyter Notebook\u4f1a\u51fa\u73b0\u5185\u6838\u65e0\u6cd5\u8fde\u63a5\u7684\u95ee\u9898\uff0c\u8fd9\u53ef\u80fd\u662f\u7531\u4e8e\u4f9d\u8d56\u5305\u4e0d\u517c\u5bb9\u6216\u73af\u5883\u914d\u7f6e\u95ee\u9898\u3002\u5c1d\u8bd5\u91cd\u542f\u5185\u6838\u6216\u68c0\u67e5\u4f9d\u8d56\u5305\u7684\u7248\u672c\u3002<\/p>\n<\/p>\n<p><h3>\u516b\u3001\u6269\u5c55Jupyter Notebook\u529f\u80fd<\/h3>\n<\/p>\n<p><p>Jupyter Notebook\u7684\u529f\u80fd\u53ef\u4ee5\u901a\u8fc7\u5b89\u88c5\u6269\u5c55\u6765\u589e\u5f3a\uff0c\u63d0\u4f9b\u66f4\u591a\u7684\u529f\u80fd\u548c\u5de5\u5177\u3002<\/p>\n<\/p>\n<p><h4>1. Jupyter Notebook Extensions<\/h4>\n<\/p>\n<p><p>Jupyter Notebook Extensions\u662f\u4e00\u7ec4\u63d2\u4ef6\uff0c\u53ef\u4ee5\u901a\u8fc7<code>nbextensions<\/code>\u5de5\u5177\u5b89\u88c5\u548c\u7ba1\u7406\u3002\u5b83\u4eec\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\uff0c\u5982\u4ee3\u7801\u6298\u53e0\u3001\u8868\u683c\u6392\u5e8f\u548c\u81ea\u52a8\u8865\u5168\u3002<\/p>\n<\/p>\n<p><h4>2. \u4f7f\u7528JupyterLab<\/h4>\n<\/p>\n<p><p>JupyterLab\u662fJupyter Notebook\u7684\u4e0b\u4e00\u4ee3\u7528\u6237\u754c\u9762\uff0c\u63d0\u4f9b\u4e86\u66f4\u5f3a\u5927\u7684\u529f\u80fd\u548c\u66f4\u7075\u6d3b\u7684\u754c\u9762\u5e03\u5c40\u3002\u7528\u6237\u53ef\u4ee5\u5728\u540c\u4e00\u4e2a\u7a97\u53e3\u4e2d\u67e5\u770b\u591a\u4e2a\u7b14\u8bb0\u672c\u3001\u7ec8\u7aef\u548c\u6587\u672c\u7f16\u8f91\u5668\u3002<\/p>\n<\/p>\n<p><h3>\u4e5d\u3001Jupyter Notebook\u7684\u5e94\u7528\u573a\u666f<\/h3>\n<\/p>\n<p><p>Jupyter Notebook\u5e7f\u6cdb\u5e94\u7528\u4e8e\u6570\u636e\u79d1\u5b66\u3001<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u548c\u6559\u80b2\u7b49\u9886\u57df\u3002<\/p>\n<\/p>\n<p><h4>1. \u6570\u636e\u79d1\u5b66\u4e0e\u5206\u6790<\/h4>\n<\/p>\n<p><p>Jupyter Notebook\u662f\u6570\u636e\u79d1\u5b66\u5bb6\u5e38\u7528\u7684\u5de5\u5177\u4e4b\u4e00\uff0c\u80fd\u591f\u5e2e\u52a9\u4ed6\u4eec\u8fdb\u884c\u6570\u636e\u6e05\u6d17\u3001\u5206\u6790\u548c\u53ef\u89c6\u5316\u3002<\/p>\n<\/p>\n<p><h4>2. \u673a\u5668\u5b66\u4e60<\/h4>\n<\/p>\n<p><p>\u5728\u673a\u5668\u5b66\u4e60\u9879\u76ee\u4e2d\uff0cJupyter Notebook\u53ef\u4ee5\u7528\u4e8e\u5b9e\u9a8c\u548c\u6a21\u578b\u8c03\u8bd5\uff0c\u65b9\u4fbf\u5730\u8bb0\u5f55\u548c\u5206\u4eab\u5b9e\u9a8c\u7ed3\u679c\u3002<\/p>\n<\/p>\n<p><h4>3. \u6559\u80b2\u4e0e\u6559\u5b66<\/h4>\n<\/p>\n<p><p>\u7531\u4e8e\u5176\u4ea4\u4e92\u6027\u548c\u53ef\u89c6\u5316\u529f\u80fd\uff0cJupyter Notebook\u88ab\u5e7f\u6cdb\u7528\u4e8e\u7f16\u7a0b\u6559\u80b2\uff0c\u5e2e\u52a9\u5b66\u751f\u66f4\u597d\u5730\u7406\u89e3\u590d\u6742\u7684\u6982\u5ff5\u3002<\/p>\n<\/p>\n<p><p>\u901a\u8fc7\u4ee5\u4e0a\u7684\u8be6\u7ec6\u4ecb\u7ecd\uff0c\u76f8\u4fe1\u60a8\u5df2\u7ecf\u638c\u63e1\u4e86\u5982\u4f55\u4f7f\u7528Python\u6253\u5f00Jupyter Notebook\uff0c\u5e76\u4e86\u89e3\u4e86\u5176\u4e30\u5bcc\u7684\u529f\u80fd\u548c\u5e94\u7528\u573a\u666f\u3002\u65e0\u8bba\u662f\u65b0\u624b\u8fd8\u662f\u6709\u7ecf\u9a8c\u7684\u5f00\u53d1\u8005\uff0cJupyter Notebook\u90fd\u662f\u4e00\u4e2a\u5f3a\u5927\u4e14\u7075\u6d3b\u7684\u5de5\u5177\uff0c\u80fd\u6781\u5927\u5730\u63d0\u9ad8\u60a8\u7684\u5de5\u4f5c\u6548\u7387\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728\u6211\u7684\u8ba1\u7b97\u673a\u4e0a\u5b89\u88c5Jupyter Notebook\uff1f<\/strong><br \/>\u8981\u5728\u8ba1\u7b97\u673a\u4e0a\u5b89\u88c5Jupyter Notebook\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528Python\u7684\u5305\u7ba1\u7406\u5de5\u5177pip\u3002\u5728\u7ec8\u7aef\u6216\u547d\u4ee4\u63d0\u793a\u7b26\u4e2d\u8f93\u5165<code>pip install notebook<\/code>\uff0c\u8fd9\u5c06\u81ea\u52a8\u4e0b\u8f7d\u5e76\u5b89\u88c5Jupyter\u53ca\u5176\u4f9d\u8d56\u9879\u3002\u786e\u4fdd\u60a8\u7684Python\u73af\u5883\u5df2\u7ecf\u6b63\u786e\u914d\u7f6e\u3002<\/p>\n<p><strong>Jupyter Notebook\u4e0eJupyterLab\u6709\u4ec0\u4e48\u533a\u522b\uff1f<\/strong><br \/>Jupyter Notebook\u662f\u4e00\u4e2a\u7ecf\u5178\u7684\u754c\u9762\uff0c\u9002\u5408\u57fa\u672c\u7684\u7b14\u8bb0\u672c\u529f\u80fd\u548c\u6570\u636e\u5206\u6790\u3002\u800cJupyterLab\u5219\u662f\u4e00\u4e2a\u66f4\u73b0\u4ee3\u7684\u7528\u6237\u754c\u9762\uff0c\u652f\u6301\u591a\u6807\u7b7e\u9875\u548c\u6587\u4ef6\u6d4f\u89c8\u5668\uff0c\u66f4\u52a0\u7075\u6d3b\u548c\u5f3a\u5927\u3002\u9009\u62e9\u54ea\u4e00\u4e2a\u901a\u5e38\u53d6\u51b3\u4e8e\u60a8\u7684\u5177\u4f53\u9700\u6c42\u548c\u4f7f\u7528\u4e60\u60ef\u3002<\/p>\n<p><strong>\u5982\u4f55\u5728Jupyter Notebook\u4e2d\u5bfc\u5165\u5916\u90e8\u5e93\uff1f<\/strong><br \/>\u5728Jupyter Notebook\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u5728\u4ee3\u7801\u5355\u5143\u4e2d\u4f7f\u7528<code>import<\/code>\u8bed\u53e5\u6765\u5bfc\u5165\u5916\u90e8\u5e93\u3002\u6bd4\u5982\uff0c\u5982\u679c\u60a8\u60f3\u4f7f\u7528NumPy\uff0c\u53ef\u4ee5\u5728\u5355\u5143\u683c\u4e2d\u8f93\u5165<code>import numpy as np<\/code>\u3002\u786e\u4fdd\u60a8\u5728\u5b89\u88c5Jupyter\u4e4b\u524d\u5df2\u7ecf\u901a\u8fc7pip\u5b89\u88c5\u4e86\u6240\u9700\u7684\u5e93\u3002\u5982\u679c\u672a\u5b89\u88c5\uff0c\u53ef\u4ee5\u4f7f\u7528<code>pip install library_name<\/code>\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5f00\u5934\u6bb5\u843d \u4f7f\u7528Python\u6253\u5f00Jupyter Notebook\u7684\u5e38\u89c1\u6b65\u9aa4\u5305\u62ec\uff1a\u5b89\u88c5Anaconda\u3001\u542f\u52a8Ana [&hellip;]","protected":false},"author":3,"featured_media":1006876,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1006871"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=1006871"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1006871\/revisions"}],"predecessor-version":[{"id":1006878,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1006871\/revisions\/1006878"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1006876"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1006871"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1006871"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1006871"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}