{"id":123484,"date":"2026-11-07T13:24:57","date_gmt":"2026-11-07T05:24:57","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/123484.html"},"modified":"2026-11-07T13:24:57","modified_gmt":"2026-11-07T05:24:57","slug":"jupyter-notebook%e5%85%a5%e9%97%a8%ef%bc%9a%e4%ba%a4%e4%ba%92%e5%bc%8f%e7%bc%96%e7%a8%8b%e7%a5%9e%e5%99%a8%e4%bd%bf%e7%94%a8%e6%8c%87%e5%8d%97","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/123484.html","title":{"rendered":"Jupyter Notebook\u5165\u95e8\uff1a\u4ea4\u4e92\u5f0f\u7f16\u7a0b\u795e\u5668\u4f7f\u7528\u6307\u5357"},"content":{"rendered":"

\/* MD \/ \u5bcc\u6587\u672c\u4e2d\u7684 .toc\uff08\u542b\u535a\u5ba2\u56ed\u642c\u5bb6\u7b49\u5d4c\u5957\u7ed3\u6784\uff09\uff1b.toc-box \u5728\u4fa7\u680f\uff0c\u4e0d\u53d7\u5f71\u54cd *\/
\n #content_views .toc,
\n \/* \u7f16\u8f91\u5668\u5e38\u5728\u76ee\u5f55\u524d\u540e\u63d2\u5165\u7a7a p\uff08:empty \u4ecd\u5360 20px\uff09\uff0c\u4e00\u5e76\u53bb\u6389\u907f\u514d\u9876\u7a7a\u9699 *\/
\n #content_views.markdown_views > p:empty:has(+ .toc),
\n #content_views.markdown_views > .toc + p:empty,
\n \/* \u5bcc\u6587\u672c\u65e7\u7248\u76ee\u5f55\u6807\u8bb0 *\/
\n #content_views.htmledit_views #main-toc,
\n #content_views.htmledit_views #hr-toc,
\n #content_views.htmledit_views p[id*=\\”-toc\\”] {
\n display: none !important;
\n }
\n \/* \u76ee\u5f55\u53bb\u6389\u540e\uff0c\u7d27\u8ddf\u7684\u9996\u4e2a\u6807\u9898\u4e0d\u518d\u591a\u51fa\u4e00\u5757\u4e0a\u8fb9\u8ddd *\/
\n #content_views.markdown_views > .toc + h1,
\n #content_views.markdown_views > .toc + h2,
\n #content_views.markdown_views > .toc + h3,
\n #content_views.markdown_views > .toc + h4,
\n #content_views.markdown_views > .toc + p:empty + h1,
\n #content_views.markdown_views > .toc + p:empty + h2,
\n #content_views.markdown_views > .toc + p:empty + h3,
\n #content_views.markdown_views > .toc + p:empty + h4 {
\n margin-top: 0 !important;
\n }<\/p>\n

\u5728Python\u7684\u751f\u6001\u7cfb\u7edf\u4e2d，\u6709\u4e00\u4e2a\u5de5\u5177\u8ba9\u6570\u636e\u79d1\u5b66\u5bb6\u3001\u7814\u7a76\u4eba\u5458\u548c\u6559\u80b2\u5de5\u4f5c\u8005\u7231\u4e0d\u91ca\u624b\u2014\u2014\u5b83\u5c31\u662fJupyter Notebook\u3002\u60f3\u8c61\u4e00\u4e0b，\u4f60\u53ef\u4ee5\u5728\u6d4f\u89c8\u5668\u4e2d\u4e00\u8fb9\u5199\u4ee3\u7801，\u4e00\u8fb9\u770b\u8fd0\u884c\u7ed3\u679c，\u8fd8\u80fd\u7a7f\u63d2Markdown\u6587\u6863\u3001\u6570\u5b66\u516c\u5f0f\u548c\u53ef\u89c6\u5316\u56fe\u8868，\u5c31\u50cf\u5728\u6570\u5b57\u5b9e\u9a8c\u5ba4\u91cc\u505a\u5b9e\u9a8c\u4e00\u6837\u3002\u672c\u6587\u5c06\u5e26\u4f60\u5168\u9762\u638c\u63e1Jupyter Notebook\u7684\u4f7f\u7528，\u4ece\u57fa\u7840\u64cd\u4f5c\u5230\u9ad8\u7ea7\u6280\u5de7，\u8ba9\u4ea4\u4e92\u5f0f\u7f16\u7a0b\u6210\u4e3a\u4f60\u7684\u7b2c\u4e8c\u5929\u6027\u3002<\/p>\n

\u4e00\u3001Jupyter Notebook\u6982\u8ff0<\/h3>\n

1.1 \u4ec0\u4e48\u662fJupyter Notebook<\/h4>\n

Jupyter Notebook\u662f\u4e00\u4e2a\u57fa\u4e8eWeb\u7684\u4ea4\u4e92\u5f0f\u8ba1\u7b97\u73af\u5883，\u5b83\u7684\u540d\u5b57\u6765\u6e90\u4e8e\u4e09\u79cd\u6838\u5fc3\u7f16\u7a0b\u8bed\u8a00：Julia\u3001Python\u548cR（Ju-Pyt-e-R）\u3002\u7ecf\u8fc7\u591a\u5e74\u7684\u53d1\u5c55，Jupyter\u5df2\u7ecf\u8fdc\u8fdc\u8d85\u51fa\u4e86\u6700\u521d\u7684\u8bbe\u60f3，\u6210\u4e3a\u6570\u636e\u79d1\u5b66\u9886\u57df\u7684\u4e8b\u5b9e\u6807\u51c6\u5de5\u5177\u3002<\/p>\n

Jupyter\u7684\u6838\u5fc3\u7406\u5ff5\u662f\u6587\u5b66\u7f16\u7a0b（Literate Programming）\u2014\u2014\u5c06\u4ee3\u7801\u3001\u6587\u6863\u3001\u53ef\u89c6\u5316\u548c\u53d9\u8ff0\u6027\u6587\u672c\u878d\u5408\u5728\u4e00\u4e2a\u6587\u6863\u4e2d，\u8ba9\u8ba1\u7b97\u8fc7\u7a0b\u53d8\u5f97\u53ef\u8bfb\u3001\u53ef\u590d\u73b0\u3001\u53ef\u5206\u4eab\u3002<\/p>\n

#mermaid-svg-QMEv7OOekldcENTn{font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;font-size:16px;fill:#333;}@keyframes edge-animation-frame{from{stroke-dashoffset:0;}}@keyframes dash{to{stroke-dashoffset:0;}}#mermaid-svg-QMEv7OOekldcENTn .edge-animation-slow{stroke-dasharray:9,5!important;stroke-dashoffset:900;animation:dash 50s linear infinite;stroke-linecap:round;}#mermaid-svg-QMEv7OOekldcENTn .edge-animation-fast{stroke-dasharray:9,5!important;stroke-dashoffset:900;animation:dash 20s linear infinite;stroke-linecap:round;}#mermaid-svg-QMEv7OOekldcENTn .error-icon{fill:#552222;}#mermaid-svg-QMEv7OOekldcENTn .error-text{fill:#552222;stroke:#552222;}#mermaid-svg-QMEv7OOekldcENTn .edge-thickness-normal{stroke-width:1px;}#mermaid-svg-QMEv7OOekldcENTn .edge-thickness-thick{stroke-width:3.5px;}#mermaid-svg-QMEv7OOekldcENTn .edge-pattern-solid{stroke-dasharray:0;}#mermaid-svg-QMEv7OOekldcENTn .edge-thickness-invisible{stroke-width:0;fill:none;}#mermaid-svg-QMEv7OOekldcENTn .edge-pattern-dashed{stroke-dasharray:3;}#mermaid-svg-QMEv7OOekldcENTn .edge-pattern-dotted{stroke-dasharray:2;}#mermaid-svg-QMEv7OOekldcENTn .marker{fill:#333333;stroke:#333333;}#mermaid-svg-QMEv7OOekldcENTn .marker.cross{stroke:#333333;}#mermaid-svg-QMEv7OOekldcENTn svg{font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;font-size:16px;}#mermaid-svg-QMEv7OOekldcENTn p{margin:0;}#mermaid-svg-QMEv7OOekldcENTn .label{font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;color:#333;}#mermaid-svg-QMEv7OOekldcENTn .cluster-label text{fill:#333;}#mermaid-svg-QMEv7OOekldcENTn .cluster-label span{color:#333;}#mermaid-svg-QMEv7OOekldcENTn .cluster-label span p{background-color:transparent;}#mermaid-svg-QMEv7OOekldcENTn .label text,#mermaid-svg-QMEv7OOekldcENTn span{fill:#333;color:#333;}#mermaid-svg-QMEv7OOekldcENTn .node rect,#mermaid-svg-QMEv7OOekldcENTn .node circle,#mermaid-svg-QMEv7OOekldcENTn .node ellipse,#mermaid-svg-QMEv7OOekldcENTn .node polygon,#mermaid-svg-QMEv7OOekldcENTn .node path{fill:#ECECFF;stroke:#9370DB;stroke-width:1px;}#mermaid-svg-QMEv7OOekldcENTn .rough-node .label text,#mermaid-svg-QMEv7OOekldcENTn .node .label text,#mermaid-svg-QMEv7OOekldcENTn .image-shape .label,#mermaid-svg-QMEv7OOekldcENTn .icon-shape .label{text-anchor:middle;}#mermaid-svg-QMEv7OOekldcENTn .node .katex path{fill:#000;stroke:#000;stroke-width:1px;}#mermaid-svg-QMEv7OOekldcENTn .rough-node .label,#mermaid-svg-QMEv7OOekldcENTn .node .label,#mermaid-svg-QMEv7OOekldcENTn .image-shape .label,#mermaid-svg-QMEv7OOekldcENTn .icon-shape .label{text-align:center;}#mermaid-svg-QMEv7OOekldcENTn .node.clickable{cursor:pointer;}#mermaid-svg-QMEv7OOekldcENTn .root .anchor path{fill:#333333!important;stroke-width:0;stroke:#333333;}#mermaid-svg-QMEv7OOekldcENTn .arrowheadPath{fill:#333333;}#mermaid-svg-QMEv7OOekldcENTn .edgePath .path{stroke:#333333;stroke-width:2.0px;}#mermaid-svg-QMEv7OOekldcENTn .flowchart-link{stroke:#333333;fill:none;}#mermaid-svg-QMEv7OOekldcENTn .edgeLabel{background-color:rgba(232,232,232, 0.8);text-align:center;}#mermaid-svg-QMEv7OOekldcENTn .edgeLabel p{background-color:rgba(232,232,232, 0.8);}#mermaid-svg-QMEv7OOekldcENTn .edgeLabel rect{opacity:0.5;background-color:rgba(232,232,232, 0.8);fill:rgba(232,232,232, 0.8);}#mermaid-svg-QMEv7OOekldcENTn .labelBkg{background-color:rgba(232, 232, 232, 0.5);}#mermaid-svg-QMEv7OOekldcENTn .cluster rect{fill:#ffffde;stroke:#aaaa33;stroke-width:1px;}#mermaid-svg-QMEv7OOekldcENTn .cluster text{fill:#333;}#mermaid-svg-QMEv7OOekldcENTn .cluster span{color:#333;}#mermaid-svg-QMEv7OOekldcENTn div.mermaidTooltip{position:absolute;text-align:center;max-width:200px;padding:2px;font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;font-size:12px;background:hsl(80, 100%, 96.2745098039%);border:1px solid #aaaa33;border-radius:2px;pointer-events:none;z-index:100;}#mermaid-svg-QMEv7OOekldcENTn .flowchartTitleText{text-anchor:middle;font-size:18px;fill:#333;}#mermaid-svg-QMEv7OOekldcENTn rect.text{fill:none;stroke-width:0;}#mermaid-svg-QMEv7OOekldcENTn .icon-shape,#mermaid-svg-QMEv7OOekldcENTn .image-shape{background-color:rgba(232,232,232, 0.8);text-align:center;}#mermaid-svg-QMEv7OOekldcENTn .icon-shape p,#mermaid-svg-QMEv7OOekldcENTn .image-shape p{background-color:rgba(232,232,232, 0.8);padding:2px;}#mermaid-svg-QMEv7OOekldcENTn .icon-shape .label rect,#mermaid-svg-QMEv7OOekldcENTn .image-shape .label rect{opacity:0.5;background-color:rgba(232,232,232, 0.8);fill:rgba(232,232,232, 0.8);}#mermaid-svg-QMEv7OOekldcENTn .label-icon{display:inline-block;height:1em;overflow:visible;vertical-align:-0.125em;}#mermaid-svg-QMEv7OOekldcENTn .node .label-icon path{fill:currentColor;stroke:revert;stroke-width:revert;}#mermaid-svg-QMEv7OOekldcENTn :root{–mermaid-font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;}<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

Jupyter Notebook<\/p>\n

<\/span><\/p>\n

\u4ee3\u7801 Cells<\/p>\n

<\/span><\/p>\n

Markdown Cells<\/p>\n

<\/span><\/p>\n

\u539f\u59cb nbconvert Cells<\/p>\n

<\/span><\/p>\n

\u8f93\u51fa\u533a\u57df<\/p>\n

<\/span><\/p>\n

Python \u4ee3\u7801<\/p>\n

<\/span><\/p>\n

\u9b54\u6cd5\u547d\u4ee4<\/p>\n

<\/span><\/p>\n

Shell \u547d\u4ee4<\/p>\n

<\/span><\/p>\n

Markdown \u6587\u672c<\/p>\n

<\/span><\/p>\n

LaTeX \u6570\u5b66\u516c\u5f0f<\/p>\n

<\/span><\/p>\n

HTML \u5185\u5bb9<\/p>\n

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\u56fe\u7247\/\u8868\u683c<\/p>\n

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\u6587\u672c\u8f93\u51fa<\/p>\n

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\u56fe\u8868\u53ef\u89c6\u5316<\/p>\n

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\u4ea4\u4e92\u5f0f\u63a7\u4ef6<\/p>\n

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\u9519\u8bef\u4fe1\u606f<\/p>\n

<\/span><\/p>\n

1.2 Jupyter\u7684\u53d1\u5c55\u5386\u7a0b<\/h4>\n

#mermaid-svg-HP17zt2uWhTt8ctm{font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;font-size:16px;fill:#333;}@keyframes edge-animation-frame{from{stroke-dashoffset:0;}}@keyframes dash{to{stroke-dashoffset:0;}}#mermaid-svg-HP17zt2uWhTt8ctm .edge-animation-slow{stroke-dasharray:9,5!important;stroke-dashoffset:900;animation:dash 50s linear infinite;stroke-linecap:round;}#mermaid-svg-HP17zt2uWhTt8ctm .edge-animation-fast{stroke-dasharray:9,5!important;stroke-dashoffset:900;animation:dash 20s linear infinite;stroke-linecap:round;}#mermaid-svg-HP17zt2uWhTt8ctm .error-icon{fill:#552222;}#mermaid-svg-HP17zt2uWhTt8ctm .error-text{fill:#552222;stroke:#552222;}#mermaid-svg-HP17zt2uWhTt8ctm .edge-thickness-normal{stroke-width:1px;}#mermaid-svg-HP17zt2uWhTt8ctm .edge-thickness-thick{stroke-width:3.5px;}#mermaid-svg-HP17zt2uWhTt8ctm .edge-pattern-solid{stroke-dasharray:0;}#mermaid-svg-HP17zt2uWhTt8ctm .edge-thickness-invisible{stroke-width:0;fill:none;}#mermaid-svg-HP17zt2uWhTt8ctm .edge-pattern-dashed{stroke-dasharray:3;}#mermaid-svg-HP17zt2uWhTt8ctm .edge-pattern-dotted{stroke-dasharray:2;}#mermaid-svg-HP17zt2uWhTt8ctm .marker{fill:#333333;stroke:#333333;}#mermaid-svg-HP17zt2uWhTt8ctm .marker.cross{stroke:#333333;}#mermaid-svg-HP17zt2uWhTt8ctm svg{font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;font-size:16px;}#mermaid-svg-HP17zt2uWhTt8ctm p{margin:0;}#mermaid-svg-HP17zt2uWhTt8ctm .edge{stroke-width:3;}#mermaid-svg-HP17zt2uWhTt8ctm .section–1 rect,#mermaid-svg-HP17zt2uWhTt8ctm .section–1 path,#mermaid-svg-HP17zt2uWhTt8ctm .section–1 circle,#mermaid-svg-HP17zt2uWhTt8ctm .section–1 path{fill:hsl(240, 100%, 76.2745098039%);}#mermaid-svg-HP17zt2uWhTt8ctm .section–1 text{fill:#ffffff;}#mermaid-svg-HP17zt2uWhTt8ctm .node-icon–1{font-size:40px;color:#ffffff;}#mermaid-svg-HP17zt2uWhTt8ctm .section-edge–1{stroke:hsl(240, 100%, 76.2745098039%);}#mermaid-svg-HP17zt2uWhTt8ctm .edge-depth–1{stroke-width:17;}#mermaid-svg-HP17zt2uWhTt8ctm .section–1 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.disabled text{fill:lightgray;}#mermaid-svg-HP17zt2uWhTt8ctm .disabled text{fill:#efefef;}#mermaid-svg-HP17zt2uWhTt8ctm .section-2 rect,#mermaid-svg-HP17zt2uWhTt8ctm .section-2 path,#mermaid-svg-HP17zt2uWhTt8ctm .section-2 circle,#mermaid-svg-HP17zt2uWhTt8ctm .section-2 path{fill:hsl(270, 100%, 76.2745098039%);}#mermaid-svg-HP17zt2uWhTt8ctm .section-2 text{fill:#ffffff;}#mermaid-svg-HP17zt2uWhTt8ctm .node-icon-2{font-size:40px;color:#ffffff;}#mermaid-svg-HP17zt2uWhTt8ctm .section-edge-2{stroke:hsl(270, 100%, 76.2745098039%);}#mermaid-svg-HP17zt2uWhTt8ctm .edge-depth-2{stroke-width:8;}#mermaid-svg-HP17zt2uWhTt8ctm .section-2 line{stroke:hsl(90, 100%, 86.2745098039%);stroke-width:3;}#mermaid-svg-HP17zt2uWhTt8ctm .lineWrapper line{stroke:#ffffff;}#mermaid-svg-HP17zt2uWhTt8ctm .disabled,#mermaid-svg-HP17zt2uWhTt8ctm .disabled circle,#mermaid-svg-HP17zt2uWhTt8ctm .disabled text{fill:lightgray;}#mermaid-svg-HP17zt2uWhTt8ctm .disabled text{fill:#efefef;}#mermaid-svg-HP17zt2uWhTt8ctm .section-3 rect,#mermaid-svg-HP17zt2uWhTt8ctm .section-3 path,#mermaid-svg-HP17zt2uWhTt8ctm .section-3 circle,#mermaid-svg-HP17zt2uWhTt8ctm .section-3 path{fill:hsl(300, 100%, 76.2745098039%);}#mermaid-svg-HP17zt2uWhTt8ctm .section-3 text{fill:black;}#mermaid-svg-HP17zt2uWhTt8ctm .node-icon-3{font-size:40px;color:black;}#mermaid-svg-HP17zt2uWhTt8ctm .section-edge-3{stroke:hsl(300, 100%, 76.2745098039%);}#mermaid-svg-HP17zt2uWhTt8ctm .edge-depth-3{stroke-width:5;}#mermaid-svg-HP17zt2uWhTt8ctm .section-3 line{stroke:hsl(120, 100%, 86.2745098039%);stroke-width:3;}#mermaid-svg-HP17zt2uWhTt8ctm .lineWrapper line{stroke:black;}#mermaid-svg-HP17zt2uWhTt8ctm .disabled,#mermaid-svg-HP17zt2uWhTt8ctm .disabled circle,#mermaid-svg-HP17zt2uWhTt8ctm .disabled text{fill:lightgray;}#mermaid-svg-HP17zt2uWhTt8ctm .disabled text{fill:#efefef;}#mermaid-svg-HP17zt2uWhTt8ctm .section-4 rect,#mermaid-svg-HP17zt2uWhTt8ctm .section-4 path,#mermaid-svg-HP17zt2uWhTt8ctm .section-4 circle,#mermaid-svg-HP17zt2uWhTt8ctm .section-4 path{fill:hsl(330, 100%, 76.2745098039%);}#mermaid-svg-HP17zt2uWhTt8ctm .section-4 text{fill:black;}#mermaid-svg-HP17zt2uWhTt8ctm .node-icon-4{font-size:40px;color:black;}#mermaid-svg-HP17zt2uWhTt8ctm .section-edge-4{stroke:hsl(330, 100%, 76.2745098039%);}#mermaid-svg-HP17zt2uWhTt8ctm .edge-depth-4{stroke-width:2;}#mermaid-svg-HP17zt2uWhTt8ctm .section-4 line{stroke:hsl(150, 100%, 86.2745098039%);stroke-width:3;}#mermaid-svg-HP17zt2uWhTt8ctm .lineWrapper line{stroke:black;}#mermaid-svg-HP17zt2uWhTt8ctm .disabled,#mermaid-svg-HP17zt2uWhTt8ctm .disabled circle,#mermaid-svg-HP17zt2uWhTt8ctm .disabled text{fill:lightgray;}#mermaid-svg-HP17zt2uWhTt8ctm .disabled text{fill:#efefef;}#mermaid-svg-HP17zt2uWhTt8ctm .section-5 rect,#mermaid-svg-HP17zt2uWhTt8ctm .section-5 path,#mermaid-svg-HP17zt2uWhTt8ctm .section-5 circle,#mermaid-svg-HP17zt2uWhTt8ctm .section-5 path{fill:hsl(0, 100%, 76.2745098039%);}#mermaid-svg-HP17zt2uWhTt8ctm .section-5 text{fill:black;}#mermaid-svg-HP17zt2uWhTt8ctm .node-icon-5{font-size:40px;color:black;}#mermaid-svg-HP17zt2uWhTt8ctm .section-edge-5{stroke:hsl(0, 100%, 76.2745098039%);}#mermaid-svg-HP17zt2uWhTt8ctm .edge-depth-5{stroke-width:-1;}#mermaid-svg-HP17zt2uWhTt8ctm .section-5 line{stroke:hsl(180, 100%, 86.2745098039%);stroke-width:3;}#mermaid-svg-HP17zt2uWhTt8ctm .lineWrapper line{stroke:black;}#mermaid-svg-HP17zt2uWhTt8ctm .disabled,#mermaid-svg-HP17zt2uWhTt8ctm .disabled circle,#mermaid-svg-HP17zt2uWhTt8ctm .disabled text{fill:lightgray;}#mermaid-svg-HP17zt2uWhTt8ctm .disabled text{fill:#efefef;}#mermaid-svg-HP17zt2uWhTt8ctm .section-6 rect,#mermaid-svg-HP17zt2uWhTt8ctm .section-6 path,#mermaid-svg-HP17zt2uWhTt8ctm .section-6 circle,#mermaid-svg-HP17zt2uWhTt8ctm .section-6 path{fill:hsl(30, 100%, 76.2745098039%);}#mermaid-svg-HP17zt2uWhTt8ctm .section-6 text{fill:black;}#mermaid-svg-HP17zt2uWhTt8ctm .node-icon-6{font-size:40px;color:black;}#mermaid-svg-HP17zt2uWhTt8ctm .section-edge-6{stroke:hsl(30, 100%, 76.2745098039%);}#mermaid-svg-HP17zt2uWhTt8ctm .edge-depth-6{stroke-width:-4;}#mermaid-svg-HP17zt2uWhTt8ctm .section-6 line{stroke:hsl(210, 100%, 86.2745098039%);stroke-width:3;}#mermaid-svg-HP17zt2uWhTt8ctm .lineWrapper line{stroke:black;}#mermaid-svg-HP17zt2uWhTt8ctm .disabled,#mermaid-svg-HP17zt2uWhTt8ctm .disabled circle,#mermaid-svg-HP17zt2uWhTt8ctm .disabled text{fill:lightgray;}#mermaid-svg-HP17zt2uWhTt8ctm .disabled text{fill:#efefef;}#mermaid-svg-HP17zt2uWhTt8ctm .section-7 rect,#mermaid-svg-HP17zt2uWhTt8ctm .section-7 path,#mermaid-svg-HP17zt2uWhTt8ctm .section-7 circle,#mermaid-svg-HP17zt2uWhTt8ctm .section-7 path{fill:hsl(90, 100%, 76.2745098039%);}#mermaid-svg-HP17zt2uWhTt8ctm .section-7 text{fill:black;}#mermaid-svg-HP17zt2uWhTt8ctm .node-icon-7{font-size:40px;color:black;}#mermaid-svg-HP17zt2uWhTt8ctm .section-edge-7{stroke:hsl(90, 100%, 76.2745098039%);}#mermaid-svg-HP17zt2uWhTt8ctm .edge-depth-7{stroke-width:-7;}#mermaid-svg-HP17zt2uWhTt8ctm .section-7 line{stroke:hsl(270, 100%, 86.2745098039%);stroke-width:3;}#mermaid-svg-HP17zt2uWhTt8ctm .lineWrapper line{stroke:black;}#mermaid-svg-HP17zt2uWhTt8ctm .disabled,#mermaid-svg-HP17zt2uWhTt8ctm .disabled circle,#mermaid-svg-HP17zt2uWhTt8ctm .disabled text{fill:lightgray;}#mermaid-svg-HP17zt2uWhTt8ctm .disabled text{fill:#efefef;}#mermaid-svg-HP17zt2uWhTt8ctm .section-8 rect,#mermaid-svg-HP17zt2uWhTt8ctm .section-8 path,#mermaid-svg-HP17zt2uWhTt8ctm .section-8 circle,#mermaid-svg-HP17zt2uWhTt8ctm .section-8 path{fill:hsl(150, 100%, 76.2745098039%);}#mermaid-svg-HP17zt2uWhTt8ctm .section-8 text{fill:black;}#mermaid-svg-HP17zt2uWhTt8ctm .node-icon-8{font-size:40px;color:black;}#mermaid-svg-HP17zt2uWhTt8ctm .section-edge-8{stroke:hsl(150, 100%, 76.2745098039%);}#mermaid-svg-HP17zt2uWhTt8ctm .edge-depth-8{stroke-width:-10;}#mermaid-svg-HP17zt2uWhTt8ctm .section-8 line{stroke:hsl(330, 100%, 86.2745098039%);stroke-width:3;}#mermaid-svg-HP17zt2uWhTt8ctm .lineWrapper line{stroke:black;}#mermaid-svg-HP17zt2uWhTt8ctm .disabled,#mermaid-svg-HP17zt2uWhTt8ctm .disabled circle,#mermaid-svg-HP17zt2uWhTt8ctm .disabled text{fill:lightgray;}#mermaid-svg-HP17zt2uWhTt8ctm .disabled text{fill:#efefef;}#mermaid-svg-HP17zt2uWhTt8ctm .section-9 rect,#mermaid-svg-HP17zt2uWhTt8ctm .section-9 path,#mermaid-svg-HP17zt2uWhTt8ctm .section-9 circle,#mermaid-svg-HP17zt2uWhTt8ctm .section-9 path{fill:hsl(180, 100%, 76.2745098039%);}#mermaid-svg-HP17zt2uWhTt8ctm .section-9 text{fill:black;}#mermaid-svg-HP17zt2uWhTt8ctm .node-icon-9{font-size:40px;color:black;}#mermaid-svg-HP17zt2uWhTt8ctm .section-edge-9{stroke:hsl(180, 100%, 76.2745098039%);}#mermaid-svg-HP17zt2uWhTt8ctm .edge-depth-9{stroke-width:-13;}#mermaid-svg-HP17zt2uWhTt8ctm .section-9 line{stroke:hsl(0, 100%, 86.2745098039%);stroke-width:3;}#mermaid-svg-HP17zt2uWhTt8ctm .lineWrapper line{stroke:black;}#mermaid-svg-HP17zt2uWhTt8ctm .disabled,#mermaid-svg-HP17zt2uWhTt8ctm .disabled circle,#mermaid-svg-HP17zt2uWhTt8ctm .disabled text{fill:lightgray;}#mermaid-svg-HP17zt2uWhTt8ctm .disabled text{fill:#efefef;}#mermaid-svg-HP17zt2uWhTt8ctm .section-10 rect,#mermaid-svg-HP17zt2uWhTt8ctm .section-10 path,#mermaid-svg-HP17zt2uWhTt8ctm .section-10 circle,#mermaid-svg-HP17zt2uWhTt8ctm .section-10 path{fill:hsl(210, 100%, 76.2745098039%);}#mermaid-svg-HP17zt2uWhTt8ctm .section-10 text{fill:black;}#mermaid-svg-HP17zt2uWhTt8ctm .node-icon-10{font-size:40px;color:black;}#mermaid-svg-HP17zt2uWhTt8ctm .section-edge-10{stroke:hsl(210, 100%, 76.2745098039%);}#mermaid-svg-HP17zt2uWhTt8ctm .edge-depth-10{stroke-width:-16;}#mermaid-svg-HP17zt2uWhTt8ctm .section-10 line{stroke:hsl(30, 100%, 86.2745098039%);stroke-width:3;}#mermaid-svg-HP17zt2uWhTt8ctm .lineWrapper line{stroke:black;}#mermaid-svg-HP17zt2uWhTt8ctm .disabled,#mermaid-svg-HP17zt2uWhTt8ctm .disabled circle,#mermaid-svg-HP17zt2uWhTt8ctm .disabled text{fill:lightgray;}#mermaid-svg-HP17zt2uWhTt8ctm .disabled text{fill:#efefef;}#mermaid-svg-HP17zt2uWhTt8ctm .section-root rect,#mermaid-svg-HP17zt2uWhTt8ctm .section-root path,#mermaid-svg-HP17zt2uWhTt8ctm .section-root circle{fill:hsl(240, 100%, 46.2745098039%);}#mermaid-svg-HP17zt2uWhTt8ctm .section-root text{fill:#ffffff;}#mermaid-svg-HP17zt2uWhTt8ctm .icon-container{height:100%;display:flex;justify-content:center;align-items:center;}#mermaid-svg-HP17zt2uWhTt8ctm .edge{fill:none;}#mermaid-svg-HP17zt2uWhTt8ctm .eventWrapper{filter:brightness(120%);}#mermaid-svg-HP17zt2uWhTt8ctm :root{–mermaid-font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;}2011IPython 0.12\u5f15\u5165WebNotebook\u754c\u97622014IPython 2.0\u91cd\u6784\u4e3aJupyter\u9879\u76eeFernando Perez\u53d1\u8d772015Jupyter Notebook4.0\u4eceIPython\u72ec\u7acb\u652f\u6301\u591a\u8bed\u8a00\u5185\u68382016JupyterLab \u9884\u89c8\u7248\u65b0\u4e00\u4ee3\u754c\u97622018JupyterLab 1.0\u6b63\u5f0f\u53d1\u5e03IDE\u7ea7\u522b\u4f53\u9a8c2020Jupyter Book\u5199\u4f5c\u51fa\u7248\u5de5\u51772022JupyterLab 3.0\u5b9e\u65f6\u534f\u4f5c\u8c03\u8bd5\u5668\u652f\u63012023JupyterLab 4.0\u6027\u80fd\u5927\u5e45\u63d0\u5347\u56fd\u9645\u5316\u652f\u63012024Jupyter AIAI\u8f85\u52a9\u7f16\u7a0bJupyter Notebook \u53d1\u5c55\u5386\u7a0b<\/p>\n

1.3 Jupyter\u7684\u9002\u7528\u573a\u666f<\/h4>\n\n\u573a\u666f\u9002\u7528\u6027\u8bf4\u660e<\/tr>\n\n\n\n\n\n\n\n\n\n\n
\u6570\u636e\u63a2\u7d22\u4e0e\u5206\u6790<\/td>\n\u4f18\u79c0<\/td>\nNotebook\u7684\u6838\u5fc3\u573a\u666f<\/td>\n<\/tr>\n
\u673a\u5668\u5b66\u4e60\u5b9e\u9a8c<\/td>\n\u4f18\u79c0<\/td>\n\u9010\u6b65\u8c03\u53c2，\u53ef\u89c6\u5316\u7ed3\u679c<\/td>\n<\/tr>\n
\u6559\u5b66\u4e0e\u6f14\u793a<\/td>\n\u4f18\u79c0<\/td>\n\u4ee3\u7801+\u6587\u6863+\u7ed3\u679c\u4e00\u4f53\u5316<\/td>\n<\/tr>\n
\u79d1\u7814\u8bba\u6587<\/td>\n\u4f18\u79c0<\/td>\n\u53ef\u590d\u73b0\u8ba1\u7b97<\/td>\n<\/tr>\n
\u6570\u636e\u53ef\u89c6\u5316<\/td>\n\u4f18\u79c0<\/td>\n\u56fe\u8868\u5373\u65f6\u6e32\u67d3<\/td>\n<\/tr>\n
\u62a5\u544a\u751f\u6210<\/td>\n\u826f\u597d<\/td>\n\u652f\u6301\u5bfc\u51fa\u591a\u79cd\u683c\u5f0f<\/td>\n<\/tr>\n
\u5927\u578b\u8f6f\u4ef6\u5f00\u53d1<\/td>\n\u4e00\u822c<\/td>\n\u4e0d\u9002\u5408，\u63a8\u8350\u4f7f\u7528IDE<\/td>\n<\/tr>\n
\u81ea\u52a8\u5316\u811a\u672c<\/td>\n\u4e00\u822c<\/td>\n\u53ef\u4ee5\u7528，\u4f46\u4e0d\u5982.py\u6587\u4ef6<\/td>\n<\/tr>\n
\u751f\u4ea7\u73af\u5883\u90e8\u7f72<\/td>\n\u4e0d\u9002\u5408<\/td>\nNotebook\u4e0d\u662f\u4e3a\u90e8\u7f72\u8bbe\u8ba1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u4e8c\u3001\u5b89\u88c5\u4e0e\u542f\u52a8<\/h3>\n

2.1 \u5b89\u88c5\u65b9\u5f0f\u5bf9\u6bd4<\/h4>\n

Jupyter Notebook\u6709\u591a\u79cd\u5b89\u88c5\u65b9\u5f0f，\u6bcf\u79cd\u9002\u7528\u4e0d\u540c\u7684\u573a\u666f：<\/p>\n\n\u5b89\u88c5\u65b9\u5f0f\u4f18\u70b9\u7f3a\u70b9\u63a8\u8350\u573a\u666f<\/tr>\n\n\n\n\n\n\n\n
pip\u5b89\u88c5<\/td>\n\u6700\u7b80\u5355，\u4e0ePython\u73af\u5883\u96c6\u6210<\/td>\n\u9700\u624b\u52a8\u7ba1\u7406\u4f9d\u8d56<\/td>\n\u5df2\u6709Python\u73af\u5883\u7684\u7528\u6237<\/td>\n<\/tr>\n
Anaconda<\/td>\n\u9884\u88c5\u79d1\u5b66\u8ba1\u7b97\u5168\u5bb6\u6876<\/td>\n\u4f53\u79ef\u5927（3GB+）<\/td>\n\u6570\u636e\u79d1\u5b66\u65b0\u624b<\/td>\n<\/tr>\n
Miniconda + \u5b89\u88c5<\/td>\n\u4f53\u79ef\u5c0f，\u7075\u6d3b<\/td>\n\u9700\u624b\u52a8\u5b89\u88c5\u4f9d\u8d56<\/td>\n\u6709\u7ecf\u9a8c\u7684\u7528\u6237<\/td>\n<\/tr>\n
Docker<\/td>\n\u73af\u5883\u9694\u79bb，\u8de8\u5e73\u53f0<\/td>\n\u9700\u8981Docker\u57fa\u7840<\/td>\n\u56e2\u961f\u534f\u4f5c<\/td>\n<\/tr>\n
VS Code\u96c6\u6210<\/td>\n\u8f7b\u91cf，\u4e0eIDE\u7ed3\u5408<\/td>\n\u529f\u80fd\u7565\u5c11<\/td>\n\u4f7f\u7528VS Code\u7684\u7528\u6237<\/td>\n<\/tr>\n
\u5728\u7ebf\u5e73\u53f0<\/td>\n\u514d\u5b89\u88c5，\u6709GPU<\/td>\n\u6709\u4f7f\u7528\u9650\u5236<\/td>\n\u5feb\u901f\u4f53\u9a8c<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

2.2 \u4f7f\u7528pip\u5b89\u88c5<\/h4>\n

\u57fa\u7840\u5b89\u88c5：<\/p>\n

# \u5b89\u88c5Jupyter Notebook（\u7ecf\u5178\u754c\u9762）<\/span>
\npip install<\/span> notebook<\/p>\n

# \u6216\u8005\u5b89\u88c5JupyterLab（\u63a8\u8350，\u65b0\u4e00\u4ee3\u754c\u9762）<\/span>
\npip install<\/span> jupyterlab<\/p>\n

# \u540c\u65f6\u5b89\u88c5\u5e38\u7528\u6570\u636e\u79d1\u5b66\u5e93<\/span>
\npip install<\/span> jupyterlab numpy pandas matplotlib seaborn scikit-learn<\/p>\n

\u5b89\u88c5\u540e\u9a8c\u8bc1：<\/p>\n

# \u67e5\u770b\u7248\u672c<\/span>
\njupyter –version<\/span>
\njupyter lab –version<\/span><\/p>\n

# \u67e5\u770b\u5df2\u5b89\u88c5\u7684\u5185\u6838<\/span>
\njupyter kernelspec list<\/p>\n

2.3 \u4f7f\u7528Anaconda\u5b89\u88c5<\/h4>\n

Anaconda\u662fPython\u6570\u636e\u79d1\u5b66\u7684\u4e00\u7ad9\u5f0f\u53d1\u884c\u7248，\u9884\u88c5\u4e86Jupyter\u548c\u6570\u767e\u4e2a\u79d1\u5b66\u8ba1\u7b97\u5305：<\/p>\n

# \u5b89\u88c5Anaconda\u540e，\u521b\u5efa\u4e13\u7528\u73af\u5883<\/span>
\nconda create -n<\/span> jupyter-env python<\/span>=<\/span>3.11<\/span>
\nconda activate jupyter-env<\/p>\n

# \u5b89\u88c5JupyterLab<\/span>
\nconda install<\/span> -c<\/span> conda-forge jupyterlab<\/p>\n

# \u5b89\u88c5\u5e38\u7528\u6570\u636e\u79d1\u5b66\u5305<\/span>
\nconda install<\/span> numpy pandas matplotlib seaborn scikit-learn jupyter<\/p>\n

2.4 \u542f\u52a8Jupyter<\/h4>\n

\u542f\u52a8JupyterLab（\u63a8\u8350）：<\/p>\n

# \u9ed8\u8ba4\u542f\u52a8<\/span>
\njupyter lab<\/p>\n

# \u6307\u5b9a\u7aef\u53e3<\/span>
\njupyter lab –port<\/span>=<\/span>9999<\/span><\/p>\n

# \u4e0d\u81ea\u52a8\u6253\u5f00\u6d4f\u89c8\u5668<\/span>
\njupyter lab –no-browser<\/p>\n

# \u5141\u8bb8\u8fdc\u7a0b\u8bbf\u95ee<\/span>
\njupyter lab –ip<\/span>=<\/span>0.0<\/span>.0.0 –port<\/span>=<\/span>8888<\/span> –no-browser<\/p>\n

# \u6307\u5b9a\u5de5\u4f5c\u76ee\u5f55<\/span>
\njupyter lab –notebook-dir=<\/span>\/path\/to\/project<\/p>\n

\u542f\u52a8Jupyter Notebook（\u7ecf\u5178\u754c\u9762）：<\/p>\n

jupyter notebook<\/p>\n

2.5 \u914d\u7f6e\u6587\u4ef6\u7ba1\u7406<\/h4>\n

\u751f\u6210\u5e76\u7f16\u8f91Jupyter\u914d\u7f6e\u6587\u4ef6：<\/p>\n

# \u751f\u6210\u914d\u7f6e\u6587\u4ef6<\/span>
\njupyter lab –generate-config<\/p>\n

# \u914d\u7f6e\u6587\u4ef6\u4f4d\u7f6e<\/span>
\n# Windows: C:\\\\Users\\\\\u7528\u6237\u540d\\\\.jupyter\\\\jupyter_lab_config.py<\/span>
\n# Linux\/macOS: ~\/.jupyter\/jupyter_lab_config.py<\/span><\/p>\n

\u5e38\u7528\u914d\u7f6e\u9879：<\/p>\n

# jupyter_lab_config.py<\/span>
\nc.<\/span>ServerApp.<\/span>ip =<\/span> '0.0.0.0'<\/span> # \u5141\u8bb8\u8fdc\u7a0b\u8bbf\u95ee<\/span>
\nc.<\/span>ServerApp.<\/span>port =<\/span> 8888<\/span> # \u9ed8\u8ba4\u7aef\u53e3<\/span>
\nc.<\/span>ServerApp.<\/span>open_browser =<\/span> False<\/span> # \u4e0d\u81ea\u52a8\u6253\u5f00\u6d4f\u89c8\u5668<\/span>
\nc.<\/span>ServerApp.<\/span>notebook_dir =<\/span> '\/path\/to\/work'<\/span> # \u5de5\u4f5c\u76ee\u5f55<\/span>
\nc.<\/span>ServerApp.<\/span>token =<\/span> ''<\/span> # \u65e0\u4ee4\u724c\u8bbf\u95ee（\u4ec5\u672c\u5730\u4f7f\u7528）<\/span>
\nc.<\/span>ServerApp.<\/span>password =<\/span> ''<\/span> # \u8bbe\u7f6e\u5bc6\u7801（\u4f7f\u7528jupyter lab password\u751f\u6210）<\/span>
\nc.<\/span>ServerApp.<\/span>allow_origin =<\/span> '*'<\/span> # \u5141\u8bb8\u8de8\u57df<\/span>
\nc.<\/span>ServerApp.<\/span>allow_remote_access =<\/span> True<\/span> # \u5141\u8bb8\u8fdc\u7a0b\u8bbf\u95ee<\/span><\/p>\n

\u4e09\u3001\u7528\u6237\u754c\u9762\u8be6\u89e3<\/h3>\n

3.1 JupyterLab vs Jupyter Notebook<\/h4>\n

#mermaid-svg-aBxL40festevO8OW{font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;font-size:16px;fill:#333;}@keyframes edge-animation-frame{from{stroke-dashoffset:0;}}@keyframes dash{to{stroke-dashoffset:0;}}#mermaid-svg-aBxL40festevO8OW .edge-animation-slow{stroke-dasharray:9,5!important;stroke-dashoffset:900;animation:dash 50s linear infinite;stroke-linecap:round;}#mermaid-svg-aBxL40festevO8OW .edge-animation-fast{stroke-dasharray:9,5!important;stroke-dashoffset:900;animation:dash 20s linear infinite;stroke-linecap:round;}#mermaid-svg-aBxL40festevO8OW .error-icon{fill:#552222;}#mermaid-svg-aBxL40festevO8OW .error-text{fill:#552222;stroke:#552222;}#mermaid-svg-aBxL40festevO8OW .edge-thickness-normal{stroke-width:1px;}#mermaid-svg-aBxL40festevO8OW .edge-thickness-thick{stroke-width:3.5px;}#mermaid-svg-aBxL40festevO8OW .edge-pattern-solid{stroke-dasharray:0;}#mermaid-svg-aBxL40festevO8OW .edge-thickness-invisible{stroke-width:0;fill:none;}#mermaid-svg-aBxL40festevO8OW .edge-pattern-dashed{stroke-dasharray:3;}#mermaid-svg-aBxL40festevO8OW .edge-pattern-dotted{stroke-dasharray:2;}#mermaid-svg-aBxL40festevO8OW .marker{fill:#333333;stroke:#333333;}#mermaid-svg-aBxL40festevO8OW .marker.cross{stroke:#333333;}#mermaid-svg-aBxL40festevO8OW svg{font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;font-size:16px;}#mermaid-svg-aBxL40festevO8OW p{margin:0;}#mermaid-svg-aBxL40festevO8OW .label{font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;color:#333;}#mermaid-svg-aBxL40festevO8OW .cluster-label text{fill:#333;}#mermaid-svg-aBxL40festevO8OW .cluster-label span{color:#333;}#mermaid-svg-aBxL40festevO8OW .cluster-label span p{background-color:transparent;}#mermaid-svg-aBxL40festevO8OW .label text,#mermaid-svg-aBxL40festevO8OW span{fill:#333;color:#333;}#mermaid-svg-aBxL40festevO8OW .node rect,#mermaid-svg-aBxL40festevO8OW .node circle,#mermaid-svg-aBxL40festevO8OW .node ellipse,#mermaid-svg-aBxL40festevO8OW .node polygon,#mermaid-svg-aBxL40festevO8OW .node path{fill:#ECECFF;stroke:#9370DB;stroke-width:1px;}#mermaid-svg-aBxL40festevO8OW .rough-node .label text,#mermaid-svg-aBxL40festevO8OW .node .label text,#mermaid-svg-aBxL40festevO8OW .image-shape .label,#mermaid-svg-aBxL40festevO8OW .icon-shape .label{text-anchor:middle;}#mermaid-svg-aBxL40festevO8OW .node .katex path{fill:#000;stroke:#000;stroke-width:1px;}#mermaid-svg-aBxL40festevO8OW .rough-node .label,#mermaid-svg-aBxL40festevO8OW .node .label,#mermaid-svg-aBxL40festevO8OW .image-shape .label,#mermaid-svg-aBxL40festevO8OW .icon-shape .label{text-align:center;}#mermaid-svg-aBxL40festevO8OW .node.clickable{cursor:pointer;}#mermaid-svg-aBxL40festevO8OW .root .anchor path{fill:#333333!important;stroke-width:0;stroke:#333333;}#mermaid-svg-aBxL40festevO8OW .arrowheadPath{fill:#333333;}#mermaid-svg-aBxL40festevO8OW .edgePath .path{stroke:#333333;stroke-width:2.0px;}#mermaid-svg-aBxL40festevO8OW .flowchart-link{stroke:#333333;fill:none;}#mermaid-svg-aBxL40festevO8OW .edgeLabel{background-color:rgba(232,232,232, 0.8);text-align:center;}#mermaid-svg-aBxL40festevO8OW .edgeLabel p{background-color:rgba(232,232,232, 0.8);}#mermaid-svg-aBxL40festevO8OW .edgeLabel rect{opacity:0.5;background-color:rgba(232,232,232, 0.8);fill:rgba(232,232,232, 0.8);}#mermaid-svg-aBxL40festevO8OW .labelBkg{background-color:rgba(232, 232, 232, 0.5);}#mermaid-svg-aBxL40festevO8OW .cluster rect{fill:#ffffde;stroke:#aaaa33;stroke-width:1px;}#mermaid-svg-aBxL40festevO8OW .cluster text{fill:#333;}#mermaid-svg-aBxL40festevO8OW .cluster span{color:#333;}#mermaid-svg-aBxL40festevO8OW div.mermaidTooltip{position:absolute;text-align:center;max-width:200px;padding:2px;font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;font-size:12px;background:hsl(80, 100%, 96.2745098039%);border:1px solid #aaaa33;border-radius:2px;pointer-events:none;z-index:100;}#mermaid-svg-aBxL40festevO8OW .flowchartTitleText{text-anchor:middle;font-size:18px;fill:#333;}#mermaid-svg-aBxL40festevO8OW rect.text{fill:none;stroke-width:0;}#mermaid-svg-aBxL40festevO8OW .icon-shape,#mermaid-svg-aBxL40festevO8OW .image-shape{background-color:rgba(232,232,232, 0.8);text-align:center;}#mermaid-svg-aBxL40festevO8OW .icon-shape p,#mermaid-svg-aBxL40festevO8OW .image-shape p{background-color:rgba(232,232,232, 0.8);padding:2px;}#mermaid-svg-aBxL40festevO8OW .icon-shape .label rect,#mermaid-svg-aBxL40festevO8OW .image-shape .label rect{opacity:0.5;background-color:rgba(232,232,232, 0.8);fill:rgba(232,232,232, 0.8);}#mermaid-svg-aBxL40festevO8OW .label-icon{display:inline-block;height:1em;overflow:visible;vertical-align:-0.125em;}#mermaid-svg-aBxL40festevO8OW .node .label-icon path{fill:currentColor;stroke:revert;stroke-width:revert;}#mermaid-svg-aBxL40festevO8OW :root{–mermaid-font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;}<\/p>\n

Jupyter Notebook<\/p>\n

<\/span><\/p>\n

JupyterLab<\/p>\n

<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

\u6587\u4ef6\u6d4f\u89c8\u5668<\/p>\n

<\/span><\/p>\n

\u7f16\u8f91\u5668\u533a\u57df<\/p>\n

<\/span><\/p>\n

\u7ec8\u7aef<\/p>\n

<\/span><\/p>\n

\u5185\u6838\u7ba1\u7406<\/p>\n

<\/span><\/p>\n

\u6269\u5c55\u7ba1\u7406<\/p>\n

<\/span><\/p>\n

\u6587\u4ef6\u5217\u8868<\/p>\n

<\/span><\/p>\n

Notebook\u7f16\u8f91\u5668<\/p>\n

<\/span><\/p>\n

\u5355\u4e2aNotebook\u89c6\u56fe<\/p>\n

<\/span><\/p>\n

\u591a\u6807\u7b7e\u9875\u5e03\u5c40<\/p>\n

<\/span><\/p>\n

\u5355\u4e00\u6587\u6863\u89c6\u56fe<\/p>\n

<\/span><\/p>\n

JupyterLab\u662f\u65b0\u4e00\u4ee3\u7684Jupyter\u754c\u9762，\u76f8\u8f83\u4e8e\u7ecf\u5178Notebook，\u5b83\u63d0\u4f9b\u4e86IDE\u7ea7\u522b\u7684\u4f53\u9a8c：<\/p>\n

    \n
  • \u591a\u6807\u7b7e\u9875\u5de5\u4f5c\u533a<\/li>\n
  • \u53ef\u62d6\u62fd\u7684\u9762\u677f\u5e03\u5c40<\/li>\n
  • \u5185\u7f6e\u7ec8\u7aef<\/li>\n
  • \u6587\u4ef6\u6d4f\u89c8\u5668<\/li>\n
  • \u6587\u672c\u7f16\u8f91\u5668<\/li>\n
  • CSV\u67e5\u770b\u5668<\/li>\n
  • \u6269\u5c55\u7ba1\u7406\u5668<\/li>\n<\/ul>\n

    3.2 Notebook\u754c\u9762\u5143\u7d20<\/h4>\n

    \u6253\u5f00\u4e00\u4e2aNotebook\u540e，\u4f60\u4f1a\u770b\u5230\u4ee5\u4e0b\u754c\u9762\u5143\u7d20：<\/p>\n

    #mermaid-svg-QDXx5F6SaLpM4IgH{font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;font-size:16px;fill:#333;}@keyframes edge-animation-frame{from{stroke-dashoffset:0;}}@keyframes dash{to{stroke-dashoffset:0;}}#mermaid-svg-QDXx5F6SaLpM4IgH .edge-animation-slow{stroke-dasharray:9,5!important;stroke-dashoffset:900;animation:dash 50s linear infinite;stroke-linecap:round;}#mermaid-svg-QDXx5F6SaLpM4IgH .edge-animation-fast{stroke-dasharray:9,5!important;stroke-dashoffset:900;animation:dash 20s linear infinite;stroke-linecap:round;}#mermaid-svg-QDXx5F6SaLpM4IgH .error-icon{fill:#552222;}#mermaid-svg-QDXx5F6SaLpM4IgH .error-text{fill:#552222;stroke:#552222;}#mermaid-svg-QDXx5F6SaLpM4IgH .edge-thickness-normal{stroke-width:1px;}#mermaid-svg-QDXx5F6SaLpM4IgH .edge-thickness-thick{stroke-width:3.5px;}#mermaid-svg-QDXx5F6SaLpM4IgH .edge-pattern-solid{stroke-dasharray:0;}#mermaid-svg-QDXx5F6SaLpM4IgH .edge-thickness-invisible{stroke-width:0;fill:none;}#mermaid-svg-QDXx5F6SaLpM4IgH .edge-pattern-dashed{stroke-dasharray:3;}#mermaid-svg-QDXx5F6SaLpM4IgH .edge-pattern-dotted{stroke-dasharray:2;}#mermaid-svg-QDXx5F6SaLpM4IgH .marker{fill:#333333;stroke:#333333;}#mermaid-svg-QDXx5F6SaLpM4IgH .marker.cross{stroke:#333333;}#mermaid-svg-QDXx5F6SaLpM4IgH svg{font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;font-size:16px;}#mermaid-svg-QDXx5F6SaLpM4IgH p{margin:0;}#mermaid-svg-QDXx5F6SaLpM4IgH .label{font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;color:#333;}#mermaid-svg-QDXx5F6SaLpM4IgH .cluster-label text{fill:#333;}#mermaid-svg-QDXx5F6SaLpM4IgH .cluster-label span{color:#333;}#mermaid-svg-QDXx5F6SaLpM4IgH .cluster-label span p{background-color:transparent;}#mermaid-svg-QDXx5F6SaLpM4IgH .label text,#mermaid-svg-QDXx5F6SaLpM4IgH span{fill:#333;color:#333;}#mermaid-svg-QDXx5F6SaLpM4IgH .node rect,#mermaid-svg-QDXx5F6SaLpM4IgH .node circle,#mermaid-svg-QDXx5F6SaLpM4IgH .node ellipse,#mermaid-svg-QDXx5F6SaLpM4IgH .node polygon,#mermaid-svg-QDXx5F6SaLpM4IgH .node path{fill:#ECECFF;stroke:#9370DB;stroke-width:1px;}#mermaid-svg-QDXx5F6SaLpM4IgH .rough-node .label text,#mermaid-svg-QDXx5F6SaLpM4IgH .node .label text,#mermaid-svg-QDXx5F6SaLpM4IgH .image-shape .label,#mermaid-svg-QDXx5F6SaLpM4IgH .icon-shape .label{text-anchor:middle;}#mermaid-svg-QDXx5F6SaLpM4IgH .node .katex path{fill:#000;stroke:#000;stroke-width:1px;}#mermaid-svg-QDXx5F6SaLpM4IgH .rough-node .label,#mermaid-svg-QDXx5F6SaLpM4IgH .node .label,#mermaid-svg-QDXx5F6SaLpM4IgH .image-shape .label,#mermaid-svg-QDXx5F6SaLpM4IgH .icon-shape .label{text-align:center;}#mermaid-svg-QDXx5F6SaLpM4IgH .node.clickable{cursor:pointer;}#mermaid-svg-QDXx5F6SaLpM4IgH .root .anchor path{fill:#333333!important;stroke-width:0;stroke:#333333;}#mermaid-svg-QDXx5F6SaLpM4IgH .arrowheadPath{fill:#333333;}#mermaid-svg-QDXx5F6SaLpM4IgH .edgePath .path{stroke:#333333;stroke-width:2.0px;}#mermaid-svg-QDXx5F6SaLpM4IgH .flowchart-link{stroke:#333333;fill:none;}#mermaid-svg-QDXx5F6SaLpM4IgH .edgeLabel{background-color:rgba(232,232,232, 0.8);text-align:center;}#mermaid-svg-QDXx5F6SaLpM4IgH .edgeLabel p{background-color:rgba(232,232,232, 0.8);}#mermaid-svg-QDXx5F6SaLpM4IgH .edgeLabel rect{opacity:0.5;background-color:rgba(232,232,232, 0.8);fill:rgba(232,232,232, 0.8);}#mermaid-svg-QDXx5F6SaLpM4IgH .labelBkg{background-color:rgba(232, 232, 232, 0.5);}#mermaid-svg-QDXx5F6SaLpM4IgH .cluster rect{fill:#ffffde;stroke:#aaaa33;stroke-width:1px;}#mermaid-svg-QDXx5F6SaLpM4IgH .cluster text{fill:#333;}#mermaid-svg-QDXx5F6SaLpM4IgH .cluster span{color:#333;}#mermaid-svg-QDXx5F6SaLpM4IgH div.mermaidTooltip{position:absolute;text-align:center;max-width:200px;padding:2px;font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;font-size:12px;background:hsl(80, 100%, 96.2745098039%);border:1px solid #aaaa33;border-radius:2px;pointer-events:none;z-index:100;}#mermaid-svg-QDXx5F6SaLpM4IgH .flowchartTitleText{text-anchor:middle;font-size:18px;fill:#333;}#mermaid-svg-QDXx5F6SaLpM4IgH rect.text{fill:none;stroke-width:0;}#mermaid-svg-QDXx5F6SaLpM4IgH .icon-shape,#mermaid-svg-QDXx5F6SaLpM4IgH .image-shape{background-color:rgba(232,232,232, 0.8);text-align:center;}#mermaid-svg-QDXx5F6SaLpM4IgH .icon-shape p,#mermaid-svg-QDXx5F6SaLpM4IgH .image-shape p{background-color:rgba(232,232,232, 0.8);padding:2px;}#mermaid-svg-QDXx5F6SaLpM4IgH .icon-shape .label rect,#mermaid-svg-QDXx5F6SaLpM4IgH .image-shape .label rect{opacity:0.5;background-color:rgba(232,232,232, 0.8);fill:rgba(232,232,232, 0.8);}#mermaid-svg-QDXx5F6SaLpM4IgH .label-icon{display:inline-block;height:1em;overflow:visible;vertical-align:-0.125em;}#mermaid-svg-QDXx5F6SaLpM4IgH .node .label-icon path{fill:currentColor;stroke:revert;stroke-width:revert;}#mermaid-svg-QDXx5F6SaLpM4IgH :root{–mermaid-font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;}<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

    Notebook \u754c\u9762<\/p>\n

    <\/span><\/p>\n

    \u83dc\u5355\u680f<\/p>\n

    <\/span><\/p>\n

    \u5de5\u5177\u680f<\/p>\n

    <\/span><\/p>\n

    \u7f16\u8f91\u533a\u57df<\/p>\n

    <\/span><\/p>\n

    \u72b6\u6001\u680f<\/p>\n

    <\/span><\/p>\n

    \u6587\u4ef6\u64cd\u4f5c<\/p>\n

    <\/span><\/p>\n

    \u7f16\u8f91\u64cd\u4f5c<\/p>\n

    <\/span><\/p>\n

    \u8fd0\u884c\u64cd\u4f5c<\/p>\n

    <\/span><\/p>\n

    \u5185\u6838\u64cd\u4f5c<\/p>\n

    <\/span><\/p>\n

    \u5e2e\u52a9<\/p>\n

    <\/span><\/p>\n

    \u4fdd\u5b58<\/p>\n

    <\/span><\/p>\n

    \u63d2\u5165Cell<\/p>\n

    <\/span><\/p>\n

    \u526a\u5207\/\u590d\u5236\/\u7c98\u8d34<\/p>\n

    <\/span><\/p>\n

    \u8fd0\u884c\/\u505c\u6b62<\/p>\n

    <\/span><\/p>\n

    Cell\u7c7b\u578b\u5207\u6362<\/p>\n

    <\/span><\/p>\n

    Cell 1: Markdown<\/p>\n

    <\/span><\/p>\n

    Cell 2: Code<\/p>\n

    <\/span><\/p>\n

    Cell 3: Code + \u8f93\u51fa<\/p>\n

    <\/span><\/p>\n

    Cell 4: Markdown<\/p>\n

    <\/span><\/p>\n

    \u5185\u6838\u72b6\u6001<\/p>\n

    <\/span><\/p>\n

    \u5f53\u524dCell<\/p>\n

    <\/span><\/p>\n

    \u5185\u5b58\u4f7f\u7528<\/p>\n

    <\/span><\/p>\n

    \u56db\u3001Cell\u64cd\u4f5c\u5b8c\u5168\u6307\u5357<\/h3>\n

    4.1 Cell\u7c7b\u578b\u8be6\u89e3<\/h4>\n

    Jupyter Notebook\u4e2d\u6709\u4e09\u79cdCell\u7c7b\u578b：<\/p>\n\nCell\u7c7b\u578b\u7528\u9014\u8f93\u5165\u5185\u5bb9\u8f93\u51fa\u7ed3\u679c<\/tr>\n\n\n\n\n
    Code<\/td>\n\u7f16\u5199\u548c\u6267\u884c\u4ee3\u7801<\/td>\nPython\u4ee3\u7801<\/td>\n\u4ee3\u7801\u6267\u884c\u7ed3\u679c<\/td>\n<\/tr>\n
    Markdown<\/td>\n\u7f16\u5199\u6587\u6863<\/td>\nMarkdown\u683c\u5f0f\u6587\u672c<\/td>\n\u683c\u5f0f\u5316\u540e\u7684\u6587\u6863<\/td>\n<\/tr>\n
    Raw NBConvert<\/td>\n\u539f\u59cb\u5185\u5bb9<\/td>\n\u4efb\u610f\u6587\u672c<\/td>\n\u4e0d\u88ab\u5904\u7406，\u76f4\u63a5\u4f20\u9012\u7ed9nbconvert<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    4.2 Code Cell\u64cd\u4f5c<\/h4>\n

    \u6267\u884c\u4ee3\u7801\u7684\u591a\u79cd\u65b9\u5f0f：<\/p>\n

    # 1. \u57fa\u672c\u6267\u884c：\u9009\u4e2dCell，\u6309 Shift+Enter<\/span>
    \nprint<\/span>(<\/span>"Hello, Jupyter!"<\/span>)<\/span><\/p>\n

    # 2. \u4e00\u4e2aCell\u53ef\u4ee5\u5305\u542b\u591a\u884c\u4ee3\u7801<\/span>
    \nimport<\/span> numpy as<\/span> np
    \nimport<\/span> pandas as<\/span> pd
    \nimport<\/span> matplotlib.<\/span>pyplot as<\/span> plt<\/p>\n

    # 3. \u53d8\u91cf\u7684\u72b6\u6001\u5728Cell\u4e4b\u95f4\u5171\u4eab<\/span>
    \nx =<\/span> 10<\/span>
    \ny =<\/span> 20<\/span><\/p>\n

    # \u5728\u4e0a\u4e00\u4e2aCell\u4e2d\u5b9a\u4e49\u7684\u53d8\u91cf，\u53ef\u4ee5\u5728\u4e0b\u4e00\u4e2aCell\u4e2d\u76f4\u63a5\u4f7f\u7528<\/span>
    \nresult =<\/span> x +<\/span> y
    \nprint<\/span>(<\/span>f"x + y = <\/span>{<\/span>result}<\/span><\/span>"<\/span><\/span>)<\/span> # \u8f93\u51fa: x + y = 30<\/span><\/p>\n

    # \u51fd\u6570\u5b9a\u4e49\u4e5f\u53ef\u4ee5\u8de8Cell\u4f7f\u7528<\/span>
    \ndef<\/span> fibonacci<\/span>(<\/span>n)<\/span>:<\/span>
    \n """\u751f\u6210\u6590\u6ce2\u90a3\u5951\u6570\u5217"""<\/span>
    \n a,<\/span> b =<\/span> 0<\/span>,<\/span> 1<\/span>
    \n for<\/span> _ in<\/span> range<\/span>(<\/span>n)<\/span>:<\/span>
    \n yield<\/span> a
    \n a,<\/span> b =<\/span> b,<\/span> a +<\/span> b<\/p>\n

    # \u5728\u53e6\u4e00\u4e2aCell\u4e2d\u8c03\u7528<\/span>
    \nlist<\/span>(<\/span>fibonacci(<\/span>10<\/span>)<\/span>)<\/span><\/p>\n

    Cell\u7684\u6267\u884c\u72b6\u6001\u6307\u793a：<\/p>\n

      \n
    • [ ]：Cell\u5c1a\u672a\u6267\u884c<\/li>\n
    • [*]：Cell\u6b63\u5728\u6267\u884c\u4e2d<\/li>\n
    • [\u6570\u5b57]：Cell\u5df2\u6267\u884c，\u6570\u5b57\u8868\u793a\u6267\u884c\u987a\u5e8f<\/li>\n
    • \u65e0\u6807\u8bb0：Markdown Cell<\/li>\n<\/ul>\n

      4.3 Markdown Cell\u8be6\u89e3<\/h4>\n

      Markdown Cell\u662fJupyter\u7684\u6587\u6863\u6838\u5fc3，\u652f\u6301\u4e30\u5bcc\u7684\u6587\u672c\u683c\u5f0f：<\/p>\n

      # \u4e00\u7ea7\u6807\u9898
      \n## \u4e8c\u7ea7\u6807\u9898
      \n### \u4e09\u7ea7\u6807\u9898<\/p>\n

      **\u52a0\u7c97\u6587\u672c** \u548c *\u659c\u4f53\u6587\u672c*<\/p>\n

      – \u65e0\u5e8f\u5217\u8868\u98791
      \n– \u65e0\u5e8f\u5217\u8868\u98792
      \n – \u5d4c\u5957\u5217\u8868\u9879<\/p>\n

      1. \u6709\u5e8f\u5217\u8868\u98791
      \n2. \u6709\u5e8f\u5217\u8868\u98792<\/p>\n

      [\u94fe\u63a5\u6587\u672c](https:\/\/www.python.org)<\/p>\n

      ![\u56fe\u7247\u63cf\u8ff0](path\/to\/image.png)<\/p>\n

      > \u5f15\u7528\u5757：\u8fd9\u662f\u4e00\u6bb5\u5f15\u7528\u6587\u5b57<\/p>\n

      —
      \n\u6c34\u5e73\u5206\u5272\u7ebf<\/p>\n

      `\u884c\u5185\u4ee3\u7801`<\/p>\n

      | \u8868\u59341 | \u8868\u59342 | \u8868\u59343 |
      \n|——-|——-|——-|
      \n| \u6570\u636e1 | \u6570\u636e2 | \u6570\u636e3 |
      \n| \u6570\u636e4 | \u6570\u636e5 | \u6570\u636e6 |<\/p>\n

      LaTeX\u6570\u5b66\u516c\u5f0f\u652f\u6301：<\/p>\n

      \u884c\u5185\u516c\u5f0f：$E = mc^2$，\u8fd9\u662f\u7231\u56e0\u65af\u5766\u7684\u8d28\u80fd\u65b9\u7a0b\u3002<\/p>\n

      \u5757\u7ea7\u516c\u5f0f：
      \n$$
      \n\\\\int_{-\\\\infty}^{\\\\infty} e^{-x^2} dx = \\\\sqrt{\\\\pi}
      \n$$<\/p>\n

      \u591a\u884c\u516c\u5f0f：
      \n$$
      \n\\\\begin{aligned}
      \nf(x) &= x^2 + 2x + 1 \\\\\\\\
      \n &= (x + 1)^2
      \n\\\\end{aligned}
      \n$$<\/p>\n

      \u77e9\u9635\u8868\u793a：
      \n$$
      \n\\\\begin{bmatrix}
      \n1 & 2 & 3 \\\\\\\\
      \n4 & 5 & 6 \\\\\\\\
      \n7 & 8 & 9
      \n\\\\end{bmatrix}
      \n$$<\/p>\n

      \u6e32\u67d3\u6548\u679c\u5982\u4e0b：<\/p>\n

      \u884c\u5185\u516c\u5f0f： E=mc2E = mc^2<\/span><\/span>E<\/span><\/span>=<\/span><\/span><\/span><\/span>m<\/span>c<\/span><\/span>2<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>，\u8fd9\u662f\u7231\u56e0\u65af\u5766\u7684\u8d28\u80fd\u65b9\u7a0b\u3002<\/p>\n

      \u5757\u7ea7\u516c\u5f0f： \u222b\u2212\u221e\u221ee\u2212x2dx=\u03c0\\\\int_{-\\\\infty}^{\\\\infty} e^{-x^2} dx = \\\\sqrt{\\\\pi}<\/span><\/span>\u222b<\/span><\/span>\u2212<\/span>\u221e<\/span><\/span><\/span><\/span><\/span>\u221e<\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>e<\/span><\/span>\u2212<\/span>x<\/span><\/span>2<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span>d<\/span>x<\/span><\/span>=<\/span><\/span><\/span><\/span><\/span>\u03c0<\/span><\/span><\/span><\/span><\/span><\/span><\/span>\u200b<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

      4.4 Cell\u7684\u5feb\u6377\u64cd\u4f5c<\/h4>\n\n\u64cd\u4f5c\u5feb\u6377\u952e（\u547d\u4ee4\u6a21\u5f0f）\u5feb\u6377\u952e（\u7f16\u8f91\u6a21\u5f0f）<\/tr>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
      \u6267\u884c\u5f53\u524dCell<\/td>\nShift+Enter<\/td>\nCtrl+Enter<\/td>\n<\/tr>\n
      \u6267\u884c\u5e76\u63d2\u5165\u65b0Cell<\/td>\nAlt+Enter<\/td>\n–<\/td>\n<\/tr>\n
      \u5207\u6362Cell\u7c7b\u578b\u4e3aCode<\/td>\nY<\/td>\n–<\/td>\n<\/tr>\n
      \u5207\u6362Cell\u7c7b\u578b\u4e3aMarkdown<\/td>\nM<\/td>\n–<\/td>\n<\/tr>\n
      \u5728\u4e0a\u65b9\u63d2\u5165Cell<\/td>\nA<\/td>\n–<\/td>\n<\/tr>\n
      \u5728\u4e0b\u65b9\u63d2\u5165Cell<\/td>\nB<\/td>\n–<\/td>\n<\/tr>\n
      \u5220\u9664\u5f53\u524dCell<\/td>\nD, D（\u6309\u4e24\u6b21D）<\/td>\n–<\/td>\n<\/tr>\n
      \u526a\u5207\u5f53\u524dCell<\/td>\nX<\/td>\n–<\/td>\n<\/tr>\n
      \u590d\u5236\u5f53\u524dCell<\/td>\nC<\/td>\n–<\/td>\n<\/tr>\n
      \u7c98\u8d34Cell<\/td>\nV<\/td>\n–<\/td>\n<\/tr>\n
      \u64a4\u9500\u5220\u9664Cell<\/td>\nZ<\/td>\n–<\/td>\n<\/tr>\n
      \u5408\u5e76\u4e0a\u65b9Cell<\/td>\nShift+M<\/td>\n–<\/td>\n<\/tr>\n
      \u5408\u5e76\u4e0b\u65b9Cell<\/td>\nCtrl+Shift+M<\/td>\n–<\/td>\n<\/tr>\n
      \u8fdb\u5165\u7f16\u8f91\u6a21\u5f0f<\/td>\nEnter<\/td>\n–<\/td>\n<\/tr>\n
      \u8fdb\u5165\u547d\u4ee4\u6a21\u5f0f<\/td>\nEsc<\/td>\n–<\/td>\n<\/tr>\n
      \u67e5\u770b\u6240\u6709\u5feb\u6377\u952e<\/td>\nH<\/td>\n–<\/td>\n<\/tr>\n
      \u4fdd\u5b58Notebook<\/td>\nS<\/td>\n–<\/td>\n<\/tr>\n
      \u4e2d\u65ad\u5185\u6838<\/td>\nI, I（\u6309\u4e24\u6b21I）<\/td>\n–<\/td>\n<\/tr>\n
      \u91cd\u542f\u5185\u6838<\/td>\n0, 0（\u6309\u4e24\u6b210）<\/td>\n–<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      4.5 Cell\u7684\u8fdb\u9636\u6280\u5de7<\/h4>\n

      Cell\u6807\u7b7e（Tags）\u7684\u4f7f\u7528：<\/p>\n

      \u4e3aCell\u6dfb\u52a0\u6807\u7b7e\u53ef\u4ee5\u5b9e\u73b0\u66f4\u7cbe\u7ec6\u7684\u63a7\u5236：<\/p>\n

      # \u5728Cell\u7684\u5143\u6570\u636e\u4e2d\u6dfb\u52a0\u6807\u7b7e<\/span>
      \n# \u5e38\u7528\u6807\u7b7e：<\/span>
      \n# – "hide-input": \u9690\u85cf\u8f93\u5165\u4ee3\u7801<\/span>
      \n# – "hide-output": \u9690\u85cf\u8f93\u51fa<\/span>
      \n# – "hide-cell": \u9690\u85cf\u6574\u4e2aCell<\/span>
      \n# – "remove-input": \u5bfc\u51fa\u65f6\u79fb\u9664\u8f93\u5165<\/span>
      \n# – "remove-cell": \u5bfc\u51fa\u65f6\u79fb\u9664\u6574\u4e2aCell<\/span>
      \n# – "raises-exception": \u6807\u8bb0\u9884\u671f\u4f1a\u629b\u51fa\u5f02\u5e38\u7684Cell<\/span>
      \n# – "skip": \u8df3\u8fc7\u6267\u884c<\/span><\/p>\n

      Cell\u7684\u9b54\u6cd5\u547d\u4ee4\u88c5\u9970：<\/p>\n

      # %%time: \u6d4b\u91cf\u6574\u4e2aCell\u7684\u6267\u884c\u65f6\u95f4<\/span>
      \n%<\/span>%<\/span>time
      \nimport<\/span> time
      \nresult =<\/span> 0<\/span>
      \nfor<\/span> i in<\/span> range<\/span>(<\/span>1000000<\/span>)<\/span>:<\/span>
      \n result +=<\/span> i<\/p>\n

      \u4e94\u3001\u9b54\u6cd5\u547d\u4ee4\u5b8c\u5168\u624b\u518c<\/h3>\n

      5.1 \u9b54\u6cd5\u547d\u4ee4\u6982\u8ff0<\/h4>\n

      \u9b54\u6cd5\u547d\u4ee4\u662fIPython\u63d0\u4f9b\u7684\u4e00\u7ec4\u7279\u6b8a\u547d\u4ee4，\u4ee5\u524d\u7f00 % \u6216 %% \u5f00\u5934，\u6781\u5927\u589e\u5f3a\u4e86\u4ea4\u4e92\u5f0f\u7f16\u7a0b\u4f53\u9a8c：<\/p>\n

      #mermaid-svg-7nEGJknxgOyjVpfN{font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;font-size:16px;fill:#333;}@keyframes edge-animation-frame{from{stroke-dashoffset:0;}}@keyframes dash{to{stroke-dashoffset:0;}}#mermaid-svg-7nEGJknxgOyjVpfN .edge-animation-slow{stroke-dasharray:9,5!important;stroke-dashoffset:900;animation:dash 50s linear infinite;stroke-linecap:round;}#mermaid-svg-7nEGJknxgOyjVpfN .edge-animation-fast{stroke-dasharray:9,5!important;stroke-dashoffset:900;animation:dash 20s linear infinite;stroke-linecap:round;}#mermaid-svg-7nEGJknxgOyjVpfN .error-icon{fill:#552222;}#mermaid-svg-7nEGJknxgOyjVpfN .error-text{fill:#552222;stroke:#552222;}#mermaid-svg-7nEGJknxgOyjVpfN .edge-thickness-normal{stroke-width:1px;}#mermaid-svg-7nEGJknxgOyjVpfN .edge-thickness-thick{stroke-width:3.5px;}#mermaid-svg-7nEGJknxgOyjVpfN .edge-pattern-solid{stroke-dasharray:0;}#mermaid-svg-7nEGJknxgOyjVpfN .edge-thickness-invisible{stroke-width:0;fill:none;}#mermaid-svg-7nEGJknxgOyjVpfN .edge-pattern-dashed{stroke-dasharray:3;}#mermaid-svg-7nEGJknxgOyjVpfN .edge-pattern-dotted{stroke-dasharray:2;}#mermaid-svg-7nEGJknxgOyjVpfN .marker{fill:#333333;stroke:#333333;}#mermaid-svg-7nEGJknxgOyjVpfN .marker.cross{stroke:#333333;}#mermaid-svg-7nEGJknxgOyjVpfN svg{font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;font-size:16px;}#mermaid-svg-7nEGJknxgOyjVpfN p{margin:0;}#mermaid-svg-7nEGJknxgOyjVpfN .label{font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;color:#333;}#mermaid-svg-7nEGJknxgOyjVpfN .cluster-label text{fill:#333;}#mermaid-svg-7nEGJknxgOyjVpfN .cluster-label span{color:#333;}#mermaid-svg-7nEGJknxgOyjVpfN .cluster-label span p{background-color:transparent;}#mermaid-svg-7nEGJknxgOyjVpfN .label text,#mermaid-svg-7nEGJknxgOyjVpfN span{fill:#333;color:#333;}#mermaid-svg-7nEGJknxgOyjVpfN .node rect,#mermaid-svg-7nEGJknxgOyjVpfN .node circle,#mermaid-svg-7nEGJknxgOyjVpfN .node ellipse,#mermaid-svg-7nEGJknxgOyjVpfN .node polygon,#mermaid-svg-7nEGJknxgOyjVpfN .node path{fill:#ECECFF;stroke:#9370DB;stroke-width:1px;}#mermaid-svg-7nEGJknxgOyjVpfN .rough-node .label text,#mermaid-svg-7nEGJknxgOyjVpfN .node .label text,#mermaid-svg-7nEGJknxgOyjVpfN .image-shape .label,#mermaid-svg-7nEGJknxgOyjVpfN .icon-shape .label{text-anchor:middle;}#mermaid-svg-7nEGJknxgOyjVpfN .node .katex path{fill:#000;stroke:#000;stroke-width:1px;}#mermaid-svg-7nEGJknxgOyjVpfN .rough-node .label,#mermaid-svg-7nEGJknxgOyjVpfN .node .label,#mermaid-svg-7nEGJknxgOyjVpfN .image-shape .label,#mermaid-svg-7nEGJknxgOyjVpfN .icon-shape .label{text-align:center;}#mermaid-svg-7nEGJknxgOyjVpfN .node.clickable{cursor:pointer;}#mermaid-svg-7nEGJknxgOyjVpfN .root .anchor path{fill:#333333!important;stroke-width:0;stroke:#333333;}#mermaid-svg-7nEGJknxgOyjVpfN .arrowheadPath{fill:#333333;}#mermaid-svg-7nEGJknxgOyjVpfN .edgePath .path{stroke:#333333;stroke-width:2.0px;}#mermaid-svg-7nEGJknxgOyjVpfN .flowchart-link{stroke:#333333;fill:none;}#mermaid-svg-7nEGJknxgOyjVpfN .edgeLabel{background-color:rgba(232,232,232, 0.8);text-align:center;}#mermaid-svg-7nEGJknxgOyjVpfN .edgeLabel p{background-color:rgba(232,232,232, 0.8);}#mermaid-svg-7nEGJknxgOyjVpfN .edgeLabel rect{opacity:0.5;background-color:rgba(232,232,232, 0.8);fill:rgba(232,232,232, 0.8);}#mermaid-svg-7nEGJknxgOyjVpfN .labelBkg{background-color:rgba(232, 232, 232, 0.5);}#mermaid-svg-7nEGJknxgOyjVpfN .cluster rect{fill:#ffffde;stroke:#aaaa33;stroke-width:1px;}#mermaid-svg-7nEGJknxgOyjVpfN .cluster text{fill:#333;}#mermaid-svg-7nEGJknxgOyjVpfN .cluster span{color:#333;}#mermaid-svg-7nEGJknxgOyjVpfN div.mermaidTooltip{position:absolute;text-align:center;max-width:200px;padding:2px;font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;font-size:12px;background:hsl(80, 100%, 96.2745098039%);border:1px solid #aaaa33;border-radius:2px;pointer-events:none;z-index:100;}#mermaid-svg-7nEGJknxgOyjVpfN .flowchartTitleText{text-anchor:middle;font-size:18px;fill:#333;}#mermaid-svg-7nEGJknxgOyjVpfN rect.text{fill:none;stroke-width:0;}#mermaid-svg-7nEGJknxgOyjVpfN .icon-shape,#mermaid-svg-7nEGJknxgOyjVpfN .image-shape{background-color:rgba(232,232,232, 0.8);text-align:center;}#mermaid-svg-7nEGJknxgOyjVpfN .icon-shape p,#mermaid-svg-7nEGJknxgOyjVpfN .image-shape p{background-color:rgba(232,232,232, 0.8);padding:2px;}#mermaid-svg-7nEGJknxgOyjVpfN .icon-shape .label rect,#mermaid-svg-7nEGJknxgOyjVpfN .image-shape .label rect{opacity:0.5;background-color:rgba(232,232,232, 0.8);fill:rgba(232,232,232, 0.8);}#mermaid-svg-7nEGJknxgOyjVpfN .label-icon{display:inline-block;height:1em;overflow:visible;vertical-align:-0.125em;}#mermaid-svg-7nEGJknxgOyjVpfN .node .label-icon path{fill:currentColor;stroke:revert;stroke-width:revert;}#mermaid-svg-7nEGJknxgOyjVpfN :root{–mermaid-font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;}<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

      \u9b54\u6cd5\u547d\u4ee4 Magic Commands<\/p>\n

      <\/span><\/p>\n

      \u884c\u9b54\u6cd5 Line Magic<\/p>\n

      <\/span><\/p>\n

      Cell\u9b54\u6cd5 Cell Magic<\/p>\n

      <\/span><\/p>\n

      %time \/ %timeit<\/p>\n

      <\/span><\/p>\n

      %run<\/p>\n

      <\/span><\/p>\n

      %load<\/p>\n

      <\/span><\/p>\n

      %who \/ %whos<\/p>\n

      <\/span><\/p>\n

      %reset<\/p>\n

      <\/span><\/p>\n

      %history<\/p>\n

      <\/span><\/p>\n

      %pdb<\/p>\n

      <\/span><\/p>\n

      %env<\/p>\n

      <\/span><\/p>\n

      %lsmagic<\/p>\n

      <\/span><\/p>\n

      %%time \/ %%timeit<\/p>\n

      <\/span><\/p>\n

      %%writefile<\/p>\n

      <\/span><\/p>\n

      %%bash<\/p>\n

      <\/span><\/p>\n

      %%html<\/p>\n

      <\/span><\/p>\n

      %%latex<\/p>\n

      <\/span><\/p>\n

      %%capture<\/p>\n

      <\/span><\/p>\n

      %%prun<\/p>\n

      <\/span><\/p>\n

      5.2 \u6027\u80fd\u5206\u6790\u547d\u4ee4<\/h4>\n

      # %time: \u5355\u6b21\u6267\u884c\u8ba1\u65f6<\/span>
      \n%<\/span>time sum<\/span>(<\/span>range<\/span>(<\/span>1000000<\/span>)<\/span>)<\/span><\/p>\n

      # %timeit: \u591a\u6b21\u6267\u884c\u53d6\u5e73\u5747\u65f6\u95f4（\u66f4\u7cbe\u786e）<\/span>
      \n%<\/span>timeit sum<\/span>(<\/span>range<\/span>(<\/span>1000<\/span>)<\/span>)<\/span><\/p>\n

      # %%time: Cell\u7ea7\u8ba1\u65f6<\/span>
      \n%<\/span>%<\/span>time
      \nimport<\/span> numpy as<\/span> np
      \narr =<\/span> np.<\/span>random.<\/span>randn(<\/span>1000<\/span>,<\/span> 1000<\/span>)<\/span>
      \nresult =<\/span> np.<\/span>linalg.<\/span>svd(<\/span>arr)<\/span><\/p>\n

      # %prun: \u6027\u80fd\u5206\u6790（profiling）<\/span>
      \ndef<\/span> slow_function<\/span>(<\/span>)<\/span>:<\/span>
      \n result =<\/span> [<\/span>]<\/span>
      \n for<\/span> i in<\/span> range<\/span>(<\/span>10000<\/span>)<\/span>:<\/span>
      \n result.<\/span>append(<\/span>i **<\/span> 2<\/span>)<\/span>
      \n return<\/span> result<\/p>\n

      %<\/span>prun slow_function(<\/span>)<\/span><\/p>\n

      # %%prun: Cell\u7ea7\u6027\u80fd\u5206\u6790<\/span>
      \n%<\/span>%<\/span>prun
      \nimport<\/span> numpy as<\/span> np
      \ndata =<\/span> np.<\/span>random.<\/span>randn(<\/span>1000000<\/span>)<\/span>
      \nsorted_data =<\/span> np.<\/span>sort(<\/span>data)<\/span><\/p>\n

      # %memit: \u5185\u5b58\u4f7f\u7528\u5206\u6790（\u9700\u8981\u5b89\u88c5memory_profiler）<\/span>
      \n# pip install memory_profiler<\/span>
      \n%<\/span>load_ext memory_profiler<\/p>\n

      %<\/span>memit [<\/span>x**<\/span>2<\/span> for<\/span> x in<\/span> range<\/span>(<\/span>1000000<\/span>)<\/span>]<\/span><\/p>\n

      5.3 \u4ee3\u7801\u7ba1\u7406\u547d\u4ee4<\/h4>\n

      # %run: \u8fd0\u884c\u5916\u90e8Python\u811a\u672c<\/span>
      \n%<\/span>run my_script.<\/span>py
      \n%<\/span>run –<\/span>i my_script.<\/span>py # \u5728\u5f53\u524d\u7684IPython\u547d\u540d\u7a7a\u95f4\u4e2d\u8fd0\u884c<\/span>
      \n%<\/span>run –<\/span>t my_script.<\/span>py # \u663e\u793a\u6267\u884c\u65f6\u95f4<\/span><\/p>\n

      # %load: \u52a0\u8f7d\u5916\u90e8\u6587\u4ef6\u5185\u5bb9\u5230Cell<\/span>
      \n%<\/span>load my_script.<\/span>py<\/p>\n

      # %%writefile: \u5c06Cell\u5185\u5bb9\u5199\u5165\u6587\u4ef6<\/span>
      \n%<\/span>%<\/span>writefile output.<\/span>py
      \ndef<\/span> hello<\/span>(<\/span>)<\/span>:<\/span>
      \n print<\/span>(<\/span>"Hello from Jupyter!"<\/span>)<\/span><\/p>\n

      hello(<\/span>)<\/span><\/p>\n

      # %history: \u67e5\u770b\u5386\u53f2\u547d\u4ee4<\/span>
      \n%<\/span>history
      \n%<\/span>history –<\/span>n # \u663e\u793a\u884c\u53f7<\/span>
      \n%<\/span>history 5<\/span>–<\/span>10<\/span> # \u663e\u793a5\u523010\u884c\u7684\u5386\u53f2<\/span>
      \n%<\/span>history –<\/span>g search_term # \u641c\u7d22\u5305\u542b\u5173\u952e\u8bcd\u7684\u5386\u53f2<\/span><\/p>\n

      # %save: \u4fdd\u5b58\u5386\u53f2\u547d\u4ee4\u5230\u6587\u4ef6<\/span>
      \n%<\/span>save my_history.<\/span>py 5<\/span>–<\/span>10<\/span> 15<\/span> 20<\/span><\/p>\n

      5.4 \u8c03\u8bd5\u4e0e\u73af\u5883\u547d\u4ee4<\/h4>\n

      # %debug: \u8fdb\u5165\u8c03\u8bd5\u6a21\u5f0f<\/span>
      \ndef<\/span> buggy_function<\/span>(<\/span>x)<\/span>:<\/span>
      \n return<\/span> 10<\/span> \/<\/span> x<\/p>\n

      buggy_function(<\/span>0<\/span>)<\/span> # \u8fd9\u4f1a\u4ea7\u751fZeroDivisionError<\/span><\/p>\n

      # \u5728\u9519\u8bef\u53d1\u751f\u540e\u6267\u884c<\/span>
      \n%<\/span>debug<\/p>\n

      # %pdb: \u81ea\u52a8\u8fdb\u5165\u8c03\u8bd5\u6a21\u5f0f<\/span>
      \n%<\/span>pdb on # \u5f00\u542f\u81ea\u52a8\u8c03\u8bd5<\/span>
      \n%<\/span>pdb off # \u5173\u95ed\u81ea\u52a8\u8c03\u8bd5<\/span><\/p>\n

      # %who \/ %whos: \u67e5\u770b\u5f53\u524d\u547d\u540d\u7a7a\u95f4\u4e2d\u7684\u53d8\u91cf<\/span>
      \na =<\/span> 10<\/span>
      \nb =<\/span> "hello"<\/span>
      \nc =<\/span> [<\/span>1<\/span>,<\/span> 2<\/span>,<\/span> 3<\/span>]<\/span><\/p>\n

      %<\/span>who # \u5217\u51fa\u6240\u6709\u53d8\u91cf\u540d<\/span>
      \n%<\/span>whos # \u8be6\u7ec6\u5217\u51fa\u53d8\u91cf\u4fe1\u606f（\u7c7b\u578b\u3001\u503c）<\/span>
      \n%<\/span>who str<\/span> # \u53ea\u5217\u51fa\u5b57\u7b26\u4e32\u7c7b\u578b\u7684\u53d8\u91cf<\/span>
      \n%<\/span>who int<\/span> # \u53ea\u5217\u51fa\u6574\u6570\u7c7b\u578b\u7684\u53d8\u91cf<\/span><\/p>\n

      # %reset: \u91cd\u7f6e\u547d\u540d\u7a7a\u95f4<\/span>
      \n%<\/span>reset # \u786e\u8ba4\u540e\u6e05\u9664\u6240\u6709\u53d8\u91cf<\/span>
      \n%<\/span>reset –<\/span>f # \u5f3a\u5236\u6e05\u9664，\u4e0d\u786e\u8ba4<\/span><\/p>\n

      # %env: \u73af\u5883\u53d8\u91cf\u7ba1\u7406<\/span>
      \n%<\/span>env # \u5217\u51fa\u6240\u6709\u73af\u5883\u53d8\u91cf<\/span>
      \n%<\/span>env PATH # \u67e5\u770b\u7279\u5b9a\u73af\u5883\u53d8\u91cf<\/span>
      \n%<\/span>env MY_VAR=<\/span>hello # \u8bbe\u7f6e\u73af\u5883\u53d8\u91cf<\/span><\/p>\n

      # \u8bbe\u7f6e\u6570\u636e\u5e93\u8fde\u63a5（\u793a\u4f8b）<\/span>
      \n%<\/span>env DB_HOST=<\/span>localhost
      \n%<\/span>env DB_PORT=<\/span>5432<\/span>
      \n%<\/span>env DB_NAME=<\/span>myapp<\/p>\n

      5.5 \u4ea4\u4e92\u5f0f\u53ef\u89c6\u5316\u547d\u4ee4<\/h4>\n

      # %matplotlib: \u63a7\u5236matplotlib\u7684\u7ed8\u56fe\u540e\u7aef<\/span>
      \n%<\/span>matplotlib inline # \u9759\u6001\u56fe\u7247\u5d4c\u5165Notebook<\/span>
      \n%<\/span>matplotlib notebook # \u4ea4\u4e92\u5f0f\u56fe\u8868（\u53ef\u7f29\u653e\u3001\u5e73\u79fb）<\/span>
      \n%<\/span>matplotlib widget # \u4f7f\u7528ipywidgets\u7684\u4ea4\u4e92\u5f0f\u56fe\u8868<\/span><\/p>\n

      # \u793a\u4f8b<\/span>
      \nimport<\/span> matplotlib.<\/span>pyplot as<\/span> plt
      \nimport<\/span> numpy as<\/span> np<\/p>\n

      x =<\/span> np.<\/span>linspace(<\/span>0<\/span>,<\/span> 10<\/span>,<\/span> 100<\/span>)<\/span>
      \nplt.<\/span>plot(<\/span>x,<\/span> np.<\/span>sin(<\/span>x)<\/span>)<\/span>
      \nplt.<\/span>title(<\/span>"\u6b63\u5f26\u6ce2"<\/span>)<\/span>
      \nplt.<\/span>show(<\/span>)<\/span><\/p>\n

      5.6 \u7cfb\u7edfShell\u547d\u4ee4<\/h4>\n

      # \u5728\u4ee3\u7801Cell\u4e2d\u76f4\u63a5\u6267\u884cShell\u547d\u4ee4（\u4f7f\u7528!\u524d\u7f00）<\/span>
      \n!pwd
      \n!ls –<\/span>la
      \n!pip list<\/span>
      \n!python –<\/span>–<\/span>version<\/p>\n

      # \u5c06Shell\u8f93\u51fa\u8d4b\u503c\u7ed9Python\u53d8\u91cf<\/span>
      \nfiles =<\/span> !ls *<\/span>.<\/span>ipynb
      \nprint<\/span>(<\/span>files)<\/span>
      \nprint<\/span>(<\/span>f"\u627e\u5230 <\/span>{<\/span>len<\/span>(<\/span>files)<\/span>}<\/span><\/span> \u4e2aNotebook\u6587\u4ef6"<\/span><\/span>)<\/span><\/p>\n

      # \u4f7f\u7528$\u5728Shell\u547d\u4ee4\u4e2d\u5f15\u7528Python\u53d8\u91cf<\/span>
      \ndirectory =<\/span> "\/home\/user\/projects"<\/span>
      \n!ls {<\/span>directory}<\/span><\/p>\n

      # \u591a\u884cShell\u547d\u4ee4<\/span>
      \n!echo "\u5f53\u524d\u65f6\u95f4: $(date)"<\/span> &<\/span>&<\/span> echo "Python\u7248\u672c: $(python –version)"<\/span><\/p>\n

      \u516d\u3001\u6570\u636e\u53ef\u89c6\u5316\u5b9e\u6218<\/h3>\n

      6.1 \u4f7f\u7528Matplotlib<\/h4>\n

      import<\/span> matplotlib.<\/span>pyplot as<\/span> plt
      \nimport<\/span> numpy as<\/span> np<\/p>\n

      # \u8bbe\u7f6e\u4e2d\u6587\u5b57\u4f53<\/span>
      \nplt.<\/span>rcParams[<\/span>'font.sans-serif'<\/span>]<\/span> =<\/span> [<\/span>'SimHei'<\/span>,<\/span> 'DejaVu Sans'<\/span>]<\/span>
      \nplt.<\/span>rcParams[<\/span>'axes.unicode_minus'<\/span>]<\/span> =<\/span> False<\/span><\/p>\n

      # \u521b\u5efa\u56fe\u8868<\/span>
      \nfig,<\/span> axes =<\/span> plt.<\/span>subplots(<\/span>2<\/span>,<\/span> 2<\/span>,<\/span> figsize=<\/span>(<\/span>12<\/span>,<\/span> 10<\/span>)<\/span>)<\/span><\/p>\n

      # \u6298\u7ebf\u56fe<\/span>
      \nx =<\/span> np.<\/span>linspace(<\/span>0<\/span>,<\/span> 2<\/span> *<\/span> np.<\/span>pi,<\/span> 100<\/span>)<\/span>
      \naxes[<\/span>0<\/span>,<\/span> 0<\/span>]<\/span>.<\/span>plot(<\/span>x,<\/span> np.<\/span>sin(<\/span>x)<\/span>,<\/span> 'b-'<\/span>,<\/span> label=<\/span>'sin(x)'<\/span>)<\/span>
      \naxes[<\/span>0<\/span>,<\/span> 0<\/span>]<\/span>.<\/span>plot(<\/span>x,<\/span> np.<\/span>cos(<\/span>x)<\/span>,<\/span> 'r–'<\/span>,<\/span> label=<\/span>'cos(x)'<\/span>)<\/span>
      \naxes[<\/span>0<\/span>,<\/span> 0<\/span>]<\/span>.<\/span>set_title(<\/span>'\u4e09\u89d2\u51fd\u6570'<\/span>)<\/span>
      \naxes[<\/span>0<\/span>,<\/span> 0<\/span>]<\/span>.<\/span>legend(<\/span>)<\/span>
      \naxes[<\/span>0<\/span>,<\/span> 0<\/span>]<\/span>.<\/span>grid(<\/span>True<\/span>,<\/span> alpha=<\/span>0.3<\/span>)<\/span><\/p>\n

      # \u67f1\u72b6\u56fe<\/span>
      \ncategories =<\/span> [<\/span>'A'<\/span>,<\/span> 'B'<\/span>,<\/span> 'C'<\/span>,<\/span> 'D'<\/span>,<\/span> 'E'<\/span>]<\/span>
      \nvalues =<\/span> np.<\/span>random.<\/span>randint(<\/span>10<\/span>,<\/span> 100<\/span>,<\/span> 5<\/span>)<\/span>
      \naxes[<\/span>0<\/span>,<\/span> 1<\/span>]<\/span>.<\/span>bar(<\/span>categories,<\/span> values,<\/span> color=<\/span>[<\/span>'#FF6B6B'<\/span>,<\/span> '#4ECDC4'<\/span>,<\/span> '#45B7D1'<\/span>,<\/span> '#96CEB4'<\/span>,<\/span> '#FFEAA7'<\/span>]<\/span>)<\/span>
      \naxes[<\/span>0<\/span>,<\/span> 1<\/span>]<\/span>.<\/span>set_title(<\/span>'\u67f1\u72b6\u56fe\u793a\u4f8b'<\/span>)<\/span><\/p>\n

      # \u6563\u70b9\u56fe<\/span>
      \nn =<\/span> 100<\/span>
      \nx_scatter =<\/span> np.<\/span>random.<\/span>randn(<\/span>n)<\/span>
      \ny_scatter =<\/span> np.<\/span>random.<\/span>randn(<\/span>n)<\/span>
      \ncolors =<\/span> np.<\/span>random.<\/span>rand(<\/span>n)<\/span>
      \nsizes =<\/span> np.<\/span>random.<\/span>randint(<\/span>10<\/span>,<\/span> 100<\/span>,<\/span> n)<\/span>
      \naxes[<\/span>1<\/span>,<\/span> 0<\/span>]<\/span>.<\/span>scatter(<\/span>x_scatter,<\/span> y_scatter,<\/span> c=<\/span>colors,<\/span> s=<\/span>sizes,<\/span> alpha=<\/span>0.6<\/span>,<\/span> cmap=<\/span>'viridis'<\/span>)<\/span>
      \naxes[<\/span>1<\/span>,<\/span> 0<\/span>]<\/span>.<\/span>set_title(<\/span>'\u6563\u70b9\u56fe\u793a\u4f8b'<\/span>)<\/span><\/p>\n

      # \u76f4\u65b9\u56fe<\/span>
      \ndata =<\/span> np.<\/span>random.<\/span>randn(<\/span>1000<\/span>)<\/span>
      \naxes[<\/span>1<\/span>,<\/span> 1<\/span>]<\/span>.<\/span>hist(<\/span>data,<\/span> bins=<\/span>30<\/span>,<\/span> color=<\/span>'#6C5CE7'<\/span>,<\/span> alpha=<\/span>0.7<\/span>,<\/span> edgecolor=<\/span>'white'<\/span>)<\/span>
      \naxes[<\/span>1<\/span>,<\/span> 1<\/span>]<\/span>.<\/span>set_title(<\/span>'\u76f4\u65b9\u56fe\u793a\u4f8b'<\/span>)<\/span><\/p>\n

      plt.<\/span>tight_layout(<\/span>)<\/span>
      \nplt.<\/span>show(<\/span>)<\/span><\/p>\n

      6.2 \u4f7f\u7528Seaborn<\/h4>\n

      import<\/span> seaborn as<\/span> sns
      \nimport<\/span> pandas as<\/span> pd<\/p>\n

      # \u52a0\u8f7d\u793a\u4f8b\u6570\u636e<\/span>
      \niris =<\/span> sns.<\/span>load_dataset(<\/span>'iris'<\/span>)<\/span>
      \ntips =<\/span> sns.<\/span>load_dataset(<\/span>'tips'<\/span>)<\/span><\/p>\n

      # \u8bbe\u7f6eSeaborn\u98ce\u683c<\/span>
      \nsns.<\/span>set_style(<\/span>'whitegrid'<\/span>)<\/span>
      \nsns.<\/span>set_palette(<\/span>'husl'<\/span>)<\/span><\/p>\n

      # \u521b\u5efa\u591a\u9762\u677f\u56fe\u8868<\/span>
      \nfig,<\/span> axes =<\/span> plt.<\/span>subplots(<\/span>2<\/span>,<\/span> 2<\/span>,<\/span> figsize=<\/span>(<\/span>14<\/span>,<\/span> 12<\/span>)<\/span>)<\/span><\/p>\n

      # \u7bb1\u7ebf\u56fe<\/span>
      \nsns.<\/span>boxplot(<\/span>data=<\/span>iris,<\/span> x=<\/span>'species'<\/span>,<\/span> y=<\/span>'sepal_length'<\/span>,<\/span> ax=<\/span>axes[<\/span>0<\/span>,<\/span> 0<\/span>]<\/span>)<\/span>
      \naxes[<\/span>0<\/span>,<\/span> 0<\/span>]<\/span>.<\/span>set_title(<\/span>'\u4e0d\u540c\u54c1\u79cd\u7684\u843c\u7247\u957f\u5ea6\u5206\u5e03'<\/span>)<\/span><\/p>\n

      # \u5c0f\u63d0\u7434\u56fe<\/span>
      \nsns.<\/span>violinplot(<\/span>data=<\/span>iris,<\/span> x=<\/span>'species'<\/span>,<\/span> y=<\/span>'petal_length'<\/span>,<\/span> ax=<\/span>axes[<\/span>0<\/span>,<\/span> 1<\/span>]<\/span>)<\/span>
      \naxes[<\/span>0<\/span>,<\/span> 1<\/span>]<\/span>.<\/span>set_title(<\/span>'\u4e0d\u540c\u54c1\u79cd\u7684\u82b1\u74e3\u957f\u5ea6\u5206\u5e03'<\/span>)<\/span><\/p>\n

      # \u70ed\u529b\u56fe<\/span>
      \ncorr =<\/span> iris.<\/span>select_dtypes(<\/span>include=<\/span>[<\/span>np.<\/span>number]<\/span>)<\/span>.<\/span>corr(<\/span>)<\/span>
      \nsns.<\/span>heatmap(<\/span>corr,<\/span> annot=<\/span>True<\/span>,<\/span> cmap=<\/span>'coolwarm'<\/span>,<\/span> center=<\/span>0<\/span>,<\/span> ax=<\/span>axes[<\/span>1<\/span>,<\/span> 0<\/span>]<\/span>)<\/span>
      \naxes[<\/span>1<\/span>,<\/span> 0<\/span>]<\/span>.<\/span>set_title(<\/span>'\u7279\u5f81\u76f8\u5173\u6027\u70ed\u529b\u56fe'<\/span>)<\/span><\/p>\n

      # \u56de\u5f52\u56fe<\/span>
      \nsns.<\/span>regplot(<\/span>data=<\/span>tips,<\/span> x=<\/span>'total_bill'<\/span>,<\/span> y=<\/span>'tip'<\/span>,<\/span> scatter_kws=<\/span>{<\/span>'alpha'<\/span>:<\/span> 0.5<\/span>}<\/span>,<\/span> ax=<\/span>axes[<\/span>1<\/span>,<\/span> 1<\/span>]<\/span>)<\/span>
      \naxes[<\/span>1<\/span>,<\/span> 1<\/span>]<\/span>.<\/span>set_title(<\/span>'\u6d88\u8d39\u91d1\u989d\u4e0e\u5c0f\u8d39\u5173\u7cfb'<\/span>)<\/span><\/p>\n

      plt.<\/span>tight_layout(<\/span>)<\/span>
      \nplt.<\/span>show(<\/span>)<\/span><\/p>\n

      6.3 \u4f7f\u7528Plotly\u4ea4\u4e92\u5f0f\u56fe\u8868<\/h4>\n

      import<\/span> plotly.<\/span>express as<\/span> px
      \nimport<\/span> plotly.<\/span>graph_objects as<\/span> go<\/p>\n

      # \u4ea4\u4e92\u5f0f\u6563\u70b9\u56fe<\/span>
      \nfig =<\/span> px.<\/span>scatter(<\/span>
      \n iris,<\/span>
      \n x=<\/span>'sepal_length'<\/span>,<\/span>
      \n y=<\/span>'sepal_width'<\/span>,<\/span>
      \n color=<\/span>'species'<\/span>,<\/span>
      \n size=<\/span>'petal_length'<\/span>,<\/span>
      \n hover_data=<\/span>[<\/span>'petal_width'<\/span>]<\/span>,<\/span>
      \n title=<\/span>'\u9e22\u5c3e\u82b1\u6570\u636e\u96c6\u4ea4\u4e92\u5f0f\u6563\u70b9\u56fe'<\/span>
      \n)<\/span>
      \nfig.<\/span>show(<\/span>)<\/span><\/p>\n

      # \u4ea4\u4e92\u5f0f3D\u56fe<\/span>
      \nfig_3d =<\/span> px.<\/span>scatter_3d(<\/span>
      \n iris,<\/span>
      \n x=<\/span>'sepal_length'<\/span>,<\/span>
      \n y=<\/span>'sepal_width'<\/span>,<\/span>
      \n z=<\/span>'petal_length'<\/span>,<\/span>
      \n color=<\/span>'species'<\/span>,<\/span>
      \n title=<\/span>'\u9e22\u5c3e\u82b13D\u53ef\u89c6\u5316'<\/span>
      \n)<\/span>
      \nfig_3d.<\/span>show(<\/span>)<\/span><\/p>\n

      \u4e03\u3001\u9ad8\u7ea7\u529f\u80fd<\/h3>\n

      7.1 \u4ea4\u4e92\u5f0f\u63a7\u4ef6（ipywidgets）<\/h4>\n

      import<\/span> ipywidgets as<\/span> widgets
      \nfrom<\/span> IPython.<\/span>display import<\/span> display<\/p>\n

      # \u521b\u5efa\u6ed1\u5757<\/span>
      \nslider =<\/span> widgets.<\/span>IntSlider(<\/span>
      \n value=<\/span>50<\/span>,<\/span>
      \n min<\/span>=<\/span>0<\/span>,<\/span>
      \n max<\/span>=<\/span>100<\/span>,<\/span>
      \n step=<\/span>1<\/span>,<\/span>
      \n description=<\/span>'\u9891\u7387:'<\/span>,<\/span>
      \n continuous_update=<\/span>False<\/span>
      \n)<\/span><\/p>\n

      # \u521b\u5efa\u4e0b\u62c9\u83dc\u5355<\/span>
      \ndropdown =<\/span> widgets.<\/span>Dropdown(<\/span>
      \n options=<\/span>[<\/span>'\u6b63\u5f26\u6ce2'<\/span>,<\/span> '\u4f59\u5f26\u6ce2'<\/span>,<\/span> '\u65b9\u6ce2'<\/span>]<\/span>,<\/span>
      \n value=<\/span>'\u6b63\u5f26\u6ce2'<\/span>,<\/span>
      \n description=<\/span>'\u6ce2\u5f62:'<\/span>
      \n)<\/span><\/p>\n

      # \u521b\u5efa\u6309\u94ae<\/span>
      \nbutton =<\/span> widgets.<\/span>Button(<\/span>description=<\/span>'\u751f\u6210\u6ce2\u5f62'<\/span>)<\/span><\/p>\n

      # \u521b\u5efa\u8f93\u51fa\u533a\u57df<\/span>
      \noutput =<\/span> widgets.<\/span>Output(<\/span>)<\/span><\/p>\n

      # \u4ea4\u4e92\u903b\u8f91<\/span>
      \ndef<\/span> on_button_clicked<\/span>(<\/span>b)<\/span>:<\/span>
      \n with<\/span> output:<\/span>
      \n output.<\/span>clear_output(<\/span>)<\/span>
      \n x =<\/span> np.<\/span>linspace(<\/span>0<\/span>,<\/span> 2<\/span> *<\/span> np.<\/span>pi,<\/span> 200<\/span>)<\/span>
      \n freq =<\/span> slider.<\/span>value \/<\/span> 10<\/span><\/p>\n

      if<\/span> dropdown.<\/span>value ==<\/span> '\u6b63\u5f26\u6ce2'<\/span>:<\/span>
      \n y =<\/span> np.<\/span>sin(<\/span>freq *<\/span> x)<\/span>
      \n elif<\/span> dropdown.<\/span>value ==<\/span> '\u4f59\u5f26\u6ce2'<\/span>:<\/span>
      \n y =<\/span> np.<\/span>cos(<\/span>freq *<\/span> x)<\/span>
      \n else<\/span>:<\/span>
      \n y =<\/span> np.<\/span>sign(<\/span>np.<\/span>sin(<\/span>freq *<\/span> x)<\/span>)<\/span><\/p>\n

      plt.<\/span>figure(<\/span>figsize=<\/span>(<\/span>10<\/span>,<\/span> 4<\/span>)<\/span>)<\/span>
      \n plt.<\/span>plot(<\/span>x,<\/span> y,<\/span> 'b-'<\/span>,<\/span> linewidth=<\/span>2<\/span>)<\/span>
      \n plt.<\/span>title(<\/span>f'<\/span>{<\/span>dropdown.<\/span>value}<\/span><\/span> – \u9891\u7387: <\/span>{<\/span>freq:<\/span>.1f<\/span>}<\/span><\/span>'<\/span><\/span>)<\/span>
      \n plt.<\/span>grid(<\/span>True<\/span>,<\/span> alpha=<\/span>0.3<\/span>)<\/span>
      \n plt.<\/span>show(<\/span>)<\/span><\/p>\n

      button.<\/span>on_click(<\/span>on_button_clicked)<\/span><\/p>\n

      # \u5e03\u5c40\u663e\u793a<\/span>
      \ndisplay(<\/span>widgets.<\/span>VBox(<\/span>[<\/span>slider,<\/span> dropdown,<\/span> button,<\/span> output]<\/span>)<\/span>)<\/span><\/p>\n

      7.2 \u591a\u5185\u6838\u7ba1\u7406<\/h4>\n

      # \u67e5\u770b\u5df2\u5b89\u88c5\u7684\u5185\u6838<\/span>
      \n!jupyter kernelspec list<\/span><\/p>\n

      # \u5b89\u88c5\u65b0\u7684Python\u5185\u6838<\/span>
      \n!python –<\/span>m ipykernel install –<\/span>–<\/span>user –<\/span>–<\/span>name=<\/span>myenv –<\/span>–<\/span>display–<\/span>name=<\/span>"Python (myenv)"<\/span><\/p>\n

      # \u5b89\u88c5R\u5185\u6838<\/span>
      \n# \u9996\u5148\u5728R\u4e2d\u5b89\u88c5IRkernel<\/span>
      \n# install.packages('IRkernel')<\/span>
      \n# IRkernel::installspec()<\/span><\/p>\n

      # \u5728Notebook\u4e2d\u5207\u6362\u5185\u6838<\/span>
      \n# Kernel -> Change Kernel -> \u9009\u62e9\u76ee\u6807\u5185\u6838<\/span><\/p>\n

      7.3 \u6269\u5c55\u63d2\u4ef6<\/h4>\n

      JupyterLab\u6269\u5c55：<\/p>\n

      # \u5b89\u88c5\u6269\u5c55\u7ba1\u7406\u5668<\/span>
      \npip install<\/span> jupyterlab_widgets<\/p>\n

      # \u5e38\u7528\u6269\u5c55<\/span>
      \n# jupyterlab-git: Git\u96c6\u6210<\/span>
      \npip install<\/span> jupyterlab-git<\/p>\n

      # jupyterlab-spreadsheet: \u7535\u5b50\u8868\u683c\u67e5\u770b\u5668<\/span>
      \npip install<\/span> jupyterlab-spreadsheet<\/p>\n

      # jupyterlab-drawio: \u7ed8\u56fe\u5de5\u5177<\/span>
      \npip install<\/span> jupyterlab-drawio<\/p>\n

      # jupyterlab-code-formatter: \u4ee3\u7801\u683c\u5f0f\u5316<\/span>
      \npip install<\/span> jupyterlab-code-formatter black isort<\/p>\n

      # jupyterlab-variableInspector: \u53d8\u91cf\u68c0\u67e5\u5668<\/span>
      \npip install<\/span> lckr-jupyterlab-variableinspector<\/p>\n

      7.4 \u8f93\u51fa\u683c\u5f0f\u63a7\u5236<\/h4>\n

      from<\/span> IPython.<\/span>display import<\/span> display,<\/span> HTML,<\/span> Markdown,<\/span> Image,<\/span> Audio,<\/span> Video,<\/span> JSON<\/p>\n

      # HTML\u8f93\u51fa<\/span>
      \ndisplay(<\/span>HTML(<\/span>"""
      \n<div style="background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
      \n padding: 20px; border-radius: 10px; color: white;">
      \n <h2>\u81ea\u5b9a\u4e49HTML\u8f93\u51fa<\/h2>
      \n <p>\u53ef\u4ee5\u5728Notebook\u4e2d\u663e\u793a\u4efb\u610fHTML\u5185\u5bb9<\/p>
      \n<\/div>
      \n"""<\/span>)<\/span>)<\/span><\/p>\n

      # Markdown\u8f93\u51fa<\/span>
      \ndisplay(<\/span>Markdown(<\/span>"""
      \n### \u52a8\u6001\u751f\u6210\u7684Markdown
      \n– \u652f\u6301**\u6240\u6709**Markdown\u8bed\u6cd5
      \n– \u5305\u62ec\u6570\u5b66\u516c\u5f0f: $\\\\\\\\sum_{i=1}^{n} i = \\\\\\\\frac{n(n+1)}{2}$
      \n"""<\/span>)<\/span>)<\/span><\/p>\n

      # \u56fe\u7247\u663e\u793a<\/span>
      \ndisplay(<\/span>Image(<\/span>url=<\/span>'https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/11\/20261107052456-6aeeb62865b5e.png'<\/span>)<\/span>)<\/span><\/p>\n

      # \u97f3\u9891\u64ad\u653e<\/span>
      \n# display(Audio('audio_file.mp3'))<\/span><\/p>\n

      # \u89c6\u9891\u64ad\u653e<\/span>
      \n# display(Video('video_file.mp4'))<\/span><\/p>\n

      7.5 \u8fdb\u5ea6\u6761\u663e\u793a<\/h4>\n

      from<\/span> tqdm.<\/span>notebook import<\/span> tqdm
      \nimport<\/span> time<\/p>\n

      # \u4f7f\u7528tqdm\u663e\u793a\u8fdb\u5ea6\u6761<\/span>
      \nresults =<\/span> [<\/span>]<\/span>
      \nfor<\/span> i in<\/span> tqdm(<\/span>range<\/span>(<\/span>100<\/span>)<\/span>,<\/span> desc=<\/span>"\u5904\u7406\u6570\u636e"<\/span>)<\/span>:<\/span>
      \n time.<\/span>sleep(<\/span>0.05<\/span>)<\/span> # \u6a21\u62df\u8017\u65f6\u64cd\u4f5c<\/span>
      \n results.<\/span>append(<\/span>i **<\/span> 2<\/span>)<\/span><\/p>\n

      print<\/span>(<\/span>f"\u5904\u7406\u5b8c\u6210，\u5171 <\/span>{<\/span>len<\/span>(<\/span>results)<\/span>}<\/span><\/span> \u6761\u6570\u636e"<\/span><\/span>)<\/span><\/p>\n

      \u516b\u3001\u5bfc\u51fa\u4e0e\u5206\u4eab<\/h3>\n

      8.1 \u5bfc\u51fa\u683c\u5f0f\u4e00\u89c8<\/h4>\n

      #mermaid-svg-bLuywtc5dJ5G6aWE{font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;font-size:16px;fill:#333;}@keyframes edge-animation-frame{from{stroke-dashoffset:0;}}@keyframes dash{to{stroke-dashoffset:0;}}#mermaid-svg-bLuywtc5dJ5G6aWE .edge-animation-slow{stroke-dasharray:9,5!important;stroke-dashoffset:900;animation:dash 50s linear infinite;stroke-linecap:round;}#mermaid-svg-bLuywtc5dJ5G6aWE .edge-animation-fast{stroke-dasharray:9,5!important;stroke-dashoffset:900;animation:dash 20s linear infinite;stroke-linecap:round;}#mermaid-svg-bLuywtc5dJ5G6aWE .error-icon{fill:#552222;}#mermaid-svg-bLuywtc5dJ5G6aWE .error-text{fill:#552222;stroke:#552222;}#mermaid-svg-bLuywtc5dJ5G6aWE .edge-thickness-normal{stroke-width:1px;}#mermaid-svg-bLuywtc5dJ5G6aWE .edge-thickness-thick{stroke-width:3.5px;}#mermaid-svg-bLuywtc5dJ5G6aWE .edge-pattern-solid{stroke-dasharray:0;}#mermaid-svg-bLuywtc5dJ5G6aWE .edge-thickness-invisible{stroke-width:0;fill:none;}#mermaid-svg-bLuywtc5dJ5G6aWE .edge-pattern-dashed{stroke-dasharray:3;}#mermaid-svg-bLuywtc5dJ5G6aWE .edge-pattern-dotted{stroke-dasharray:2;}#mermaid-svg-bLuywtc5dJ5G6aWE .marker{fill:#333333;stroke:#333333;}#mermaid-svg-bLuywtc5dJ5G6aWE .marker.cross{stroke:#333333;}#mermaid-svg-bLuywtc5dJ5G6aWE svg{font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;font-size:16px;}#mermaid-svg-bLuywtc5dJ5G6aWE p{margin:0;}#mermaid-svg-bLuywtc5dJ5G6aWE .label{font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;color:#333;}#mermaid-svg-bLuywtc5dJ5G6aWE .cluster-label text{fill:#333;}#mermaid-svg-bLuywtc5dJ5G6aWE .cluster-label span{color:#333;}#mermaid-svg-bLuywtc5dJ5G6aWE .cluster-label span p{background-color:transparent;}#mermaid-svg-bLuywtc5dJ5G6aWE .label text,#mermaid-svg-bLuywtc5dJ5G6aWE span{fill:#333;color:#333;}#mermaid-svg-bLuywtc5dJ5G6aWE .node rect,#mermaid-svg-bLuywtc5dJ5G6aWE .node circle,#mermaid-svg-bLuywtc5dJ5G6aWE .node ellipse,#mermaid-svg-bLuywtc5dJ5G6aWE .node polygon,#mermaid-svg-bLuywtc5dJ5G6aWE .node path{fill:#ECECFF;stroke:#9370DB;stroke-width:1px;}#mermaid-svg-bLuywtc5dJ5G6aWE .rough-node .label text,#mermaid-svg-bLuywtc5dJ5G6aWE .node .label text,#mermaid-svg-bLuywtc5dJ5G6aWE .image-shape .label,#mermaid-svg-bLuywtc5dJ5G6aWE .icon-shape .label{text-anchor:middle;}#mermaid-svg-bLuywtc5dJ5G6aWE .node .katex path{fill:#000;stroke:#000;stroke-width:1px;}#mermaid-svg-bLuywtc5dJ5G6aWE .rough-node .label,#mermaid-svg-bLuywtc5dJ5G6aWE .node .label,#mermaid-svg-bLuywtc5dJ5G6aWE .image-shape .label,#mermaid-svg-bLuywtc5dJ5G6aWE .icon-shape .label{text-align:center;}#mermaid-svg-bLuywtc5dJ5G6aWE .node.clickable{cursor:pointer;}#mermaid-svg-bLuywtc5dJ5G6aWE .root .anchor path{fill:#333333!important;stroke-width:0;stroke:#333333;}#mermaid-svg-bLuywtc5dJ5G6aWE .arrowheadPath{fill:#333333;}#mermaid-svg-bLuywtc5dJ5G6aWE .edgePath .path{stroke:#333333;stroke-width:2.0px;}#mermaid-svg-bLuywtc5dJ5G6aWE .flowchart-link{stroke:#333333;fill:none;}#mermaid-svg-bLuywtc5dJ5G6aWE .edgeLabel{background-color:rgba(232,232,232, 0.8);text-align:center;}#mermaid-svg-bLuywtc5dJ5G6aWE .edgeLabel p{background-color:rgba(232,232,232, 0.8);}#mermaid-svg-bLuywtc5dJ5G6aWE .edgeLabel rect{opacity:0.5;background-color:rgba(232,232,232, 0.8);fill:rgba(232,232,232, 0.8);}#mermaid-svg-bLuywtc5dJ5G6aWE .labelBkg{background-color:rgba(232, 232, 232, 0.5);}#mermaid-svg-bLuywtc5dJ5G6aWE .cluster rect{fill:#ffffde;stroke:#aaaa33;stroke-width:1px;}#mermaid-svg-bLuywtc5dJ5G6aWE .cluster text{fill:#333;}#mermaid-svg-bLuywtc5dJ5G6aWE .cluster span{color:#333;}#mermaid-svg-bLuywtc5dJ5G6aWE div.mermaidTooltip{position:absolute;text-align:center;max-width:200px;padding:2px;font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;font-size:12px;background:hsl(80, 100%, 96.2745098039%);border:1px solid #aaaa33;border-radius:2px;pointer-events:none;z-index:100;}#mermaid-svg-bLuywtc5dJ5G6aWE .flowchartTitleText{text-anchor:middle;font-size:18px;fill:#333;}#mermaid-svg-bLuywtc5dJ5G6aWE rect.text{fill:none;stroke-width:0;}#mermaid-svg-bLuywtc5dJ5G6aWE .icon-shape,#mermaid-svg-bLuywtc5dJ5G6aWE .image-shape{background-color:rgba(232,232,232, 0.8);text-align:center;}#mermaid-svg-bLuywtc5dJ5G6aWE .icon-shape p,#mermaid-svg-bLuywtc5dJ5G6aWE .image-shape p{background-color:rgba(232,232,232, 0.8);padding:2px;}#mermaid-svg-bLuywtc5dJ5G6aWE .icon-shape .label rect,#mermaid-svg-bLuywtc5dJ5G6aWE .image-shape .label rect{opacity:0.5;background-color:rgba(232,232,232, 0.8);fill:rgba(232,232,232, 0.8);}#mermaid-svg-bLuywtc5dJ5G6aWE .label-icon{display:inline-block;height:1em;overflow:visible;vertical-align:-0.125em;}#mermaid-svg-bLuywtc5dJ5G6aWE .node .label-icon path{fill:currentColor;stroke:revert;stroke-width:revert;}#mermaid-svg-bLuywtc5dJ5G6aWE :root{–mermaid-font-family:\\”trebuchet ms\\”,verdana,arial,sans-serif;}<\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/span><\/p>\n

      .ipynb Notebook<\/p>\n

      <\/span><\/p>\n

      nbconvert<\/p>\n

      <\/span><\/p>\n

      HTML<\/p>\n

      <\/span><\/p>\n

      PDF<\/p>\n

      <\/span><\/p>\n

      Markdown<\/p>\n

      <\/span><\/p>\n

      LaTeX<\/p>\n

      <\/span><\/p>\n

      Python\u811a\u672c<\/p>\n

      <\/span><\/p>\n

      Reveal.js \u5e7b\u706f\u7247<\/p>\n

      <\/span><\/p>\n

      \u53ef\u6267\u884c\u811a\u672c<\/p>\n

      <\/span><\/p>\n

      \u9759\u6001\u7f51\u9875<\/p>\n

      <\/span><\/p>\n

      \u5e26\u4ea4\u4e92\u5f0f\u56fe\u8868<\/p>\n

      <\/span><\/p>\n

      \u5b66\u672f\u8bba\u6587<\/p>\n

      <\/span><\/p>\n

      \u62a5\u544a\u6587\u6863<\/p>\n

      <\/span><\/p>\n

      \u535a\u5ba2\u6587\u7ae0<\/p>\n

      <\/span><\/p>\n

      \u6587\u6863\u7f51\u7ad9<\/p>\n

      <\/span><\/p>\n

      \u6f14\u793a\u6587\u7a3f<\/p>\n

      <\/span><\/p>\n

      8.2 \u547d\u4ee4\u884c\u5bfc\u51fa<\/h4>\n

      # \u5bfc\u51fa\u4e3aHTML<\/span>
      \njupyter nbconvert –to<\/span> html notebook.ipynb<\/p>\n

      # \u5bfc\u51fa\u4e3aPDF（\u9700\u8981\u5b89\u88c5LaTeX\u6216\u4f7f\u7528webpdf）<\/span>
      \njupyter nbconvert –to<\/span> pdf notebook.ipynb
      \njupyter nbconvert –to<\/span> webpdf notebook.ipynb # \u4e0d\u9700\u8981LaTeX<\/span><\/p>\n

      # \u5bfc\u51fa\u4e3aMarkdown<\/span>
      \njupyter nbconvert –to<\/span> markdown notebook.ipynb<\/p>\n

      # \u5bfc\u51fa\u4e3aPython\u811a\u672c<\/span>
      \njupyter nbconvert –to<\/span> script notebook.ipynb<\/p>\n

      # \u5bfc\u51fa\u4e3aReveal.js\u5e7b\u706f\u7247<\/span>
      \njupyter nbconvert –to<\/span> slides notebook.ipynb<\/p>\n

      # \u6279\u91cf\u5bfc\u51fa<\/span>
      \njupyter nbconvert –to<\/span> html *.ipynb<\/p>\n

      # \u5e26\u6a21\u677f\u7684\u5bfc\u51fa<\/span>
      \njupyter nbconvert –to<\/span> html –template<\/span> lab notebook.ipynb
      \njupyter nbconvert –to<\/span> html –template<\/span> classic notebook.ipynb<\/p>\n

      # \u9690\u85cf\u4ee3\u7801Cell\u5bfc\u51fa<\/span>
      \njupyter nbconvert –to<\/span> html –no-input notebook.ipynb
      \njupyter nbconvert –to<\/span> html –no-prompt notebook.ipynb<\/p>\n

      8.3 \u5206\u4eab\u65b9\u5f0f<\/h4>\n\n\u65b9\u5f0f\u4f18\u70b9\u7f3a\u70b9\u9002\u7528\u573a\u666f<\/tr>\n\n\n\n\n\n\n\n\n\n
      GitHub<\/td>\n\u539f\u751f\u6e32\u67d3.ipynb<\/td>\n\u9759\u6001\u5c55\u793a<\/td>\n\u4ee3\u7801\u5206\u4eab<\/td>\n<\/tr>\n
      nbviewer<\/td>\n\u5b8c\u6574\u6e32\u67d3，\u652f\u6301\u4ea4\u4e92<\/td>\n\u9700\u8981\u4e0a\u4f20<\/td>\n\u516c\u5f00\u5206\u4eab<\/td>\n<\/tr>\n
      Binder<\/td>\n\u5728\u7ebf\u8fd0\u884c\u73af\u5883<\/td>\n\u542f\u52a8\u8f83\u6162<\/td>\n\u6559\u5b66\/\u6f14\u793a<\/td>\n<\/tr>\n
      Google Colab<\/td>\n\u514d\u8d39GPU，\u5728\u7ebf\u7f16\u8f91<\/td>\nGoogle\u751f\u6001<\/td>\n\u6df1\u5ea6\u5b66\u4e60<\/td>\n<\/tr>\n
      JupyterHub<\/td>\n\u591a\u7528\u6237\u90e8\u7f72<\/td>\n\u9700\u8981\u670d\u52a1\u5668<\/td>\n\u56e2\u961f\u534f\u4f5c<\/td>\n<\/tr>\n
      VS Code<\/td>\n\u539f\u751f\u652f\u6301<\/td>\n\u9700\u672c\u5730\u5b89\u88c5<\/td>\n\u4e2a\u4eba\u5f00\u53d1<\/td>\n<\/tr>\n
      Deepnote<\/td>\n\u5b9e\u65f6\u534f\u4f5c<\/td>\n\u9650\u5236\u514d\u8d39\u7248<\/td>\n\u56e2\u961f\u6570\u636e\u79d1\u5b66<\/td>\n<\/tr>\n
      Kaggle<\/td>\n\u514d\u8d39GPU，\u793e\u533a<\/td>\n\u5e73\u53f0\u9650\u5236<\/td>\n\u7ade\u8d5b\/\u5b66\u4e60<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      8.4 \u4f7f\u7528Binder\u521b\u5efa\u5728\u7ebf\u73af\u5883<\/h4>\n

      \u5728\u9879\u76ee\u6839\u76ee\u5f55\u521b\u5efa\u914d\u7f6e\u6587\u4ef6：<\/p>\n

      # environment.yml<\/span>
      \nname<\/span>:<\/span> my–<\/span>notebook–<\/span>env
      \nchannels<\/span>:<\/span>
      \n –<\/span> conda–<\/span>forge
      \n –<\/span> defaults
      \ndependencies<\/span>:<\/span>
      \n –<\/span> python=3.11
      \n –<\/span> numpy
      \n –<\/span> pandas
      \n –<\/span> matplotlib
      \n –<\/span> seaborn
      \n –<\/span> scikit–<\/span>learn
      \n –<\/span> jupyterlab
      \n –<\/span> ipywidgets<\/p>\n

      \u7136\u540e\u8bbf\u95ee https:\/\/mybinder.org\/，\u8f93\u5165GitHub\u4ed3\u5e93\u5730\u5740\u5373\u53ef\u751f\u6210\u53ef\u5728\u7ebf\u8fd0\u884c\u7684Jupyter\u73af\u5883\u3002<\/p>\n

      \u4e5d\u3001\u6700\u4f73\u5b9e\u8df5\u4e0e\u6280\u5de7<\/h3>\n

      9.1 Notebook\u7ec4\u7ec7\u7ed3\u6784<\/h4>\n

      01_\u6570\u636e\u52a0\u8f7d\u4e0e\u6e05\u6d17.ipynb
      \n02_\u63a2\u7d22\u6027\u6570\u636e\u5206\u6790.ipynb
      \n03_\u7279\u5f81\u5de5\u7a0b.ipynb
      \n04_\u6a21\u578b\u8bad\u7ec3.ipynb
      \n05_\u6a21\u578b\u8bc4\u4f30.ipynb
      \n06_\u7ed3\u679c\u53ef\u89c6\u5316.ipynb
      \nREADME.md
      \ndata\/
      \n raw\/
      \n processed\/
      \nsrc\/
      \n utils.py
      \n models.py
      \noutput\/
      \n figures\/
      \n models\/<\/p>\n

      9.2 \u4ee3\u7801\u89c4\u8303\u5efa\u8bae<\/h4>\n

      # 1. \u5728Notebook\u5f00\u5934\u5bfc\u5165\u6240\u6709\u9700\u8981\u7684\u5e93<\/span>
      \nimport<\/span> numpy as<\/span> np
      \nimport<\/span> pandas as<\/span> pd
      \nimport<\/span> matplotlib.<\/span>pyplot as<\/span> plt
      \nimport<\/span> seaborn as<\/span> sns<\/p>\n

      # \u8bbe\u7f6e\u5168\u5c40\u663e\u793a\u9009\u9879<\/span>
      \npd.<\/span>set_option(<\/span>'display.max_columns'<\/span>,<\/span> 50<\/span>)<\/span>
      \npd.<\/span>set_option(<\/span>'display.max_rows'<\/span>,<\/span> 100<\/span>)<\/span>
      \npd.<\/span>set_option(<\/span>'display.float_format'<\/span>,<\/span> '{:.2f}'<\/span>.<\/span>format<\/span>)<\/span><\/p>\n

      # 2. \u8bbe\u7f6e\u7edf\u4e00\u7684\u56fe\u8868\u98ce\u683c<\/span>
      \nplt.<\/span>rcParams[<\/span>'figure.figsize'<\/span>]<\/span> =<\/span> (<\/span>12<\/span>,<\/span> 6<\/span>)<\/span>
      \nplt.<\/span>rcParams[<\/span>'figure.dpi'<\/span>]<\/span> =<\/span> 100<\/span>
      \nsns.<\/span>set_style(<\/span>'whitegrid'<\/span>)<\/span>
      \nsns.<\/span>set_palette(<\/span>'husl'<\/span>)<\/span><\/p>\n

      # 3. \u4f7f\u7528\u914d\u7f6eCell\u96c6\u4e2d\u7ba1\u7406\u53c2\u6570<\/span>
      \n# \u521b\u5efa\u4e00\u4e2a"\u914d\u7f6e"Cell\u653e\u5728Notebook\u5f00\u5934<\/span>
      \nCONFIG =<\/span> {<\/span>
      \n 'data_path'<\/span>:<\/span> '.\/data\/raw\/'<\/span>,<\/span>
      \n 'output_path'<\/span>:<\/span> '.\/output\/'<\/span>,<\/span>
      \n 'random_seed'<\/span>:<\/span> 42<\/span>,<\/span>
      \n 'test_size'<\/span>:<\/span> 0.2<\/span>,<\/span>
      \n 'n_folds'<\/span>:<\/span> 5<\/span>
      \n}<\/span><\/p>\n

      # 4. \u5c06\u901a\u7528\u51fd\u6570\u96c6\u4e2d\u5728\u4e00\u4e2aCell\u4e2d<\/span>
      \ndef<\/span> load_data<\/span>(<\/span>path)<\/span>:<\/span>
      \n """\u52a0\u8f7d\u6570\u636e"""<\/span>
      \n return<\/span> pd.<\/span>read_csv(<\/span>path)<\/span><\/p>\n

      def<\/span> clean_data<\/span>(<\/span>df)<\/span>:<\/span>
      \n """\u6e05\u6d17\u6570\u636e"""<\/span>
      \n df =<\/span> df.<\/span>drop_duplicates(<\/span>)<\/span>
      \n df =<\/span> df.<\/span>dropna(<\/span>subset=<\/span>[<\/span>'target_column'<\/span>]<\/span>)<\/span>
      \n return<\/span> df<\/p>\n

      9.3 \u6027\u80fd\u4f18\u5316\u6280\u5de7<\/h4>\n

      # 1. \u4f7f\u7528%config\u63a7\u5236\u8f93\u51fa<\/span>
      \n%<\/span>config InlineBackend.<\/span>figure_format =<\/span> 'retina'<\/span> # \u9ad8\u6e05\u56fe\u8868<\/span>
      \n%<\/span>config InlineBackend.<\/span>figure_format =<\/span> 'svg'<\/span> # \u77e2\u91cf\u56fe\u8868<\/span><\/p>\n

      # 2. \u9650\u5236DataFrame\u7684\u663e\u793a<\/span>
      \n# \u53ea\u663e\u793a\u524d5\u884c\u800c\u4e0d\u662f\u5168\u90e8<\/span>
      \ndf.<\/span>head(<\/span>)<\/span><\/p>\n

      # 3. \u7f13\u5b58\u8ba1\u7b97\u7ed3\u679c<\/span>
      \n# \u4f7f\u7528%%time\u68c0\u67e5Cell\u6267\u884c\u65f6\u95f4，\u4f18\u5316\u6162\u7684Cell<\/span><\/p>\n

      # 4. \u6e05\u7406\u4e0d\u9700\u8981\u7684\u53d8\u91cf<\/span>
      \nimport<\/span> gc
      \ndel<\/span> large_variable
      \ngc.<\/span>collect(<\/span>)<\/span><\/p>\n

      # 5. \u4f7f\u7528numba\u52a0\u901f（\u9002\u7528\u4e8e\u6570\u503c\u8ba1\u7b97）<\/span>
      \n# pip install numba<\/span>
      \nfrom<\/span> numba import<\/span> jit<\/p>\n

      @jit<\/span>(<\/span>nopython=<\/span>True<\/span>)<\/span>
      \ndef<\/span> fast_computation<\/span>(<\/span>x)<\/span>:<\/span>
      \n result =<\/span> 0<\/span>
      \n for<\/span> i in<\/span> range<\/span>(<\/span>len<\/span>(<\/span>x)<\/span>)<\/span>:<\/span>
      \n result +=<\/span> x[<\/span>i]<\/span> **<\/span> 2<\/span>
      \n return<\/span> result<\/p>\n

      9.4 \u7248\u672c\u63a7\u5236\u6700\u4f73\u5b9e\u8df5<\/h4>\n

      # .gitignore\u4e2d\u5e94\u5305\u542b\u7684\u5185\u5bb9<\/span>
      \n.ipynb_checkpoints\/
      \n__pycache__\/
      \n*.pyc
      \n.pytest_cache\/
      \n.python-version
      \n*.egg-info\/
      \ndist\/
      \nbuild\/<\/p>\n

      # \u4f7f\u7528jupytext\u5b9e\u73b0Notebook\u4e0e.py\u6587\u4ef6\u7684\u540c\u6b65<\/span>
      \n# pip install jupytext<\/span><\/p>\n

      # \u521b\u5efa\u914d\u7f6e\u6587\u4ef6<\/span>
      \n# jupytext.toml<\/span><\/p>\n

      # jupytext.toml
      \nformats = "ipynb,py:percent"<\/p>\n

      [format_suffixes]
      \n".ipynb" = "ipynb"
      \n".py" = "py:percent"<\/p>\n

      # \u4f7f\u7528jupytext\u540e，Notebook\u4f1a\u88ab\u4fdd\u5b58\u4e3a.py\u683c\u5f0f<\/span>
      \n# \u8fd9\u6837Git diff\u53ef\u4ee5\u6e05\u6670\u5730\u770b\u5230\u4ee3\u7801\u53d8\u66f4<\/span>
      \n# \u540c\u65f6\u4fdd\u7559.ipynb\u6587\u4ef6\u7528\u4e8e\u6267\u884c<\/span><\/p>\n

      9.5 \u5e38\u89c1\u9519\u8bef\u5904\u7406<\/h4>\n

      # \u95ee\u98981：Kernel died\/restarting<\/span>
      \n# \u539f\u56e0：\u5185\u5b58\u4e0d\u8db3<\/span>
      \n# \u89e3\u51b3：%%memit\u68c0\u67e5\u5185\u5b58\u4f7f\u7528，\u4f18\u5316\u4ee3\u7801\u6216\u5206\u6279\u5904\u7406\u6570\u636e<\/span><\/p>\n

      # \u95ee\u98982：\u53d8\u91cf\u4f5c\u7528\u57df\u6df7\u4e71<\/span>
      \n# \u89e3\u51b3：\u8fd0\u884c Kernel -> Restart & Run All \u4ece\u5934\u6267\u884c<\/span><\/p>\n

      # \u95ee\u98983：\u56fe\u8868\u4e0d\u663e\u793a<\/span>
      \n# \u786e\u4fdd\u6dfb\u52a0\u4e86 %matplotlib inline<\/span>
      \n# \u6216\u68c0\u67e5 plt.show() \u662f\u5426\u88ab\u8c03\u7528<\/span><\/p>\n

      # \u95ee\u98984：\u4e2d\u6587\u5b57\u4f53\u663e\u793a\u65b9\u6846<\/span>
      \nplt.<\/span>rcParams[<\/span>'font.sans-serif'<\/span>]<\/span> =<\/span> [<\/span>'SimHei'<\/span>,<\/span> 'Microsoft YaHei'<\/span>,<\/span> 'DejaVu Sans'<\/span>]<\/span>
      \nplt.<\/span>rcParams[<\/span>'axes.unicode_minus'<\/span>]<\/span> =<\/span> False<\/span><\/p>\n

      # \u95ee\u98985：Notebook\u6587\u4ef6\u8fc7\u5927<\/span>
      \n# \u89e3\u51b3：Kernel -> Restart & Clear Output，\u7136\u540e\u4fdd\u5b58<\/span><\/p>\n

      \u5341\u3001Jupyter\u4e0e\u5176\u4ed6\u5de5\u5177\u96c6\u6210<\/h3>\n

      10.1 VS Code\u4e2d\u7684Jupyter<\/h4>\n

      VS Code\u539f\u751f\u652f\u6301Jupyter Notebook，\u5177\u6709\u4ee5\u4e0b\u4f18\u52bf：<\/p>\n

        \n
      • \u66f4\u5feb\u7684\u7f16\u8f91\u4f53\u9a8c<\/li>\n
      • \u66f4\u597d\u7684\u4ee3\u7801\u8865\u5168<\/li>\n
      • \u96c6\u6210\u8c03\u8bd5\u5668<\/li>\n
      • Git\u96c6\u6210<\/li>\n
      • \u53d8\u91cf\u67e5\u770b\u5668<\/li>\n<\/ul>\n

        10.2 PyCharm\u4e2d\u7684Jupyter<\/h4>\n

        PyCharm\u4e13\u4e1a\u7248\u652f\u6301Jupyter Notebook，\u63d0\u4f9b\u4e86：<\/p>\n

          \n
        • \u4ee3\u7801\u667a\u80fd\u63d0\u793a<\/li>\n
        • \u91cd\u6784\u5de5\u5177<\/li>\n
        • \u5355\u5143\u6d4b\u8bd5\u96c6\u6210<\/li>\n
        • \u6570\u636e\u5e93\u5de5\u5177<\/li>\n<\/ul>\n

          10.3 Google Colab\u96c6\u6210<\/h4>\n

          Google Colab\u662fGoogle\u63d0\u4f9b\u7684\u514d\u8d39Jupyter\u73af\u5883：<\/p>\n

          # Colab\u7279\u6709\u529f\u80fd<\/span>
          \nfrom<\/span> google.<\/span>colab import<\/span> drive
          \ndrive.<\/span>mount(<\/span>'\/content\/drive'<\/span>)<\/span> # \u6302\u8f7dGoogle Drive<\/span><\/p>\n

          # \u4f7f\u7528\u514d\u8d39GPU<\/span>
          \n# Runtime -> Change runtime type -> GPU<\/span><\/p>\n

          # \u5b89\u88c5Colab\u4e0d\u5305\u542b\u7684\u5e93<\/span>
          \n!pip install transformers<\/p>\n

          # \u4f7f\u7528Colab\u8868\u5355<\/span>
          \n# \u63d2\u5165\u8868\u5355\u5b57\u6bb5，\u751f\u6210\u4ea4\u4e92\u5f0fUI<\/span><\/p>\n

          \u5341\u4e00\u3001\u603b\u7ed3<\/h3>\n

          Jupyter Notebook\u91cd\u65b0\u5b9a\u4e49\u4e86\u4ea4\u4e92\u5f0f\u7f16\u7a0b\u7684\u65b9\u5f0f\u3002\u5b83\u5c06\u4ee3\u7801\u3001\u6587\u6863\u3001\u53ef\u89c6\u5316\u548c\u53d9\u8ff0\u878d\u5408\u5728\u4e00\u8d77，\u8ba9\u7f16\u7a0b\u4e0d\u518d\u53ea\u662f\u7f16\u5199\u4ee3\u7801，\u800c\u662f\u8bb2\u8ff0\u4e00\u4e2a\u5b8c\u6574\u7684\u6570\u636e\u6545\u4e8b\u3002<\/p>\n

          \u6838\u5fc3\u8981\u70b9\u56de\u987e：<\/p>\n

        • Notebook\u7684\u672c\u8d28：\u6587\u5b66\u7f16\u7a0b\u7684\u5b9e\u8df5\u5de5\u5177，\u4ee3\u7801+\u6587\u6863+\u8f93\u51fa\u7684\u5b8c\u7f8e\u7ed3\u5408<\/li>\n
        • Cell\u64cd\u4f5c：Code Cell\u548cMarkdown Cell\u7684\u7075\u6d3b\u7ec4\u5408\u662f\u9ad8\u6548\u4f7f\u7528\u7684\u57fa\u7840<\/li>\n
        • \u9b54\u6cd5\u547d\u4ee4：%time\u3001%debug\u3001%run\u7b49\u547d\u4ee4\u5927\u5e45\u63d0\u5347\u4ea4\u4e92\u5f0f\u7f16\u7a0b\u4f53\u9a8c<\/li>\n
        • \u6570\u636e\u53ef\u89c6\u5316：Matplotlib\u3001Seaborn\u3001Plotly\u5728Notebook\u4e2d\u62e5\u6709\u51fa\u8272\u7684\u8868\u73b0<\/li>\n
        • \u5bfc\u51fa\u5206\u4eab：\u652f\u6301HTML\u3001PDF\u3001Markdown\u7b49\u591a\u79cd\u683c\u5f0f\u5bfc\u51fa<\/li>\n
        • \u6700\u4f73\u5b9e\u8df5：\u5408\u7406\u7684Notebook\u7ec4\u7ec7\u7ed3\u6784\u548c\u4ee3\u7801\u89c4\u8303\u8ba9\u9879\u76ee\u66f4\u53ef\u7ef4\u62a4<\/li>\n

          Jupyter Notebook\u5df2\u7ecf\u4ece\u4e00\u4e2a\u7b80\u5355\u7684Python\u4ea4\u4e92\u754c\u9762，\u53d1\u5c55\u6210\u4e3a\u4e00\u4e2a\u5b8c\u6574\u7684\u8ba1\u7b97\u751f\u6001\u7cfb\u7edf\u3002\u65e0\u8bba\u4f60\u662f\u6570\u636e\u79d1\u5b66\u5bb6\u3001\u7814\u7a76\u4eba\u5458\u3001\u6559\u80b2\u5de5\u4f5c\u8005\u8fd8\u662fPython\u5b66\u4e60\u8005，\u638c\u63e1Jupyter Notebook\u90fd\u5c06\u4e3a\u4f60\u7684\u5de5\u4f5c\u5e26\u6765\u5de8\u5927\u7684\u4fbf\u5229\u3002<\/p>\n

          \n

          \u4e0b\u4e00\u7bc7\u6587\u7ae0\u9884\u544a：\u300aPython\u8fd0\u884c\u539f\u7406：\u89e3\u91ca\u578b\u8bed\u8a00\u4e0e\u5b57\u8282\u7801\u6267\u884c\u8fc7\u7a0b\u300b\u2014\u2014\u6211\u4eec\u5c06\u6df1\u5165Python\u7684\u5e95\u5c42\u4e16\u754c，\u63ed\u793a.py\u6587\u4ef6\u662f\u5982\u4f55\u53d8\u6210\u53ef\u6267\u884c\u6307\u4ee4\u7684，\u4ece\u6e90\u7801\u5230\u5b57\u8282\u7801，\u4ecePVM\u5230pyc\u6587\u4ef6，\u5f7b\u5e95\u7406\u89e3Python\u7a0b\u5e8f\u7684\u8fd0\u884c\u673a\u5236\u3002\u8fd9\u662f\u4e00\u6b21\u4ece"\u4f1a\u7528"\u5230"\u7406\u89e3"\u7684\u5173\u952e\u8dc3\u8fc1，\u656c\u8bf7\u671f\u5f85！<\/p>\n","protected":false},"excerpt":{"rendered":"

          \/* MD \/ \u5bcc\u6587\u672c\u4e2d\u7684 .toc\uff08\u542b\u535a\u5ba2\u56ed\u642c\u5bb6\u7b49\u5d4c\u5957\u7ed3\u6784\uff09\uff1b.toc-box \u5728\u4fa7\u680f\uff0c\u4e0d\u53d7\u5f71\u54cd *\/#content_views .toc,\/* \u7f16\u8f91\u5668\u5e38\u5728\u76ee\u5f55\u524d\u540e\u63d2\u5165\u7a7a p\uff08:empty \u4ecd\u5360 20px\uff09\uff0c\u4e00\u5e76\u53bb\u6389\u907f\u514d\u9876\u7a7a\u9699 *\/#content_views.markdown_views > p:empty:has(+ .toc),#content_views.markdown_views > .toc + p:empty,\/* \u5bcc\u6587\u672c\u65e7\u7248\u76ee\u5f55\u6807\u8bb0 *\/#content<\/p>\n","protected":false},"author":2,"featured_media":123483,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[81,683,188,5366,185],"topic":[],"class_list":["post-123484","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-python","tag-683","tag-188","tag-5366","tag-185"],"yoast_head":"\nJupyter Notebook\u5165\u95e8\uff1a\u4ea4\u4e92\u5f0f\u7f16\u7a0b\u795e\u5668\u4f7f\u7528\u6307\u5357 - 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