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\u540c\u65f6\u6211\u4e5f\u4f1a\u62c5\u5fc3\u670d\u52a1\u6545\u969c\u5e26\u6765\u7684\u4e0d\u786e\u5b9a\u56e0\u7d20\uff0c\u6240\u4ee5\u5907\u4efd\u4e5f\u662f\u9700\u8981\u8003\u8651\u7684\\n- \u94fe\u63a5\u4f53\u7cfb\uff0c\u6570\u636e\u7ec4\u7ec7\\n \\t- Tag\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\u8fd8\u662f\u975e\u5e38\u91cd\u8981\u7684\\n \\t- \u4e30\u5bcc\u7684\u6570\u636e\u7ec7\u5728\u67d0\u79cd\u7a0b\u5ea6\u4e0a\u662f\u548c\u53ef\u8fc1\u79fb\u6027\u51b2\u7a81\u7684\uff0c\u6240\u4ee5\u6211\u4f1a\u504f\u5411\u4f7f\u7528\u4e00\u4e9b\u5f00\u6e90\u7684\u5de5\u5177\uff0c\u6bd4\u5982\u7528Mermaid\u6765\u753b\u8111\u56fe\\n\\n## \u63a8\u8350\\n\\n## [Notion](https://www.notion.so)\\n\\n\u9ad8\u5ea6\u96c6\u6210\u7684\u77e5\u8bc6\u5e93\u5de5\u5177\uff0c\u5728\u6210\u54c1\u5f53\u4e2d\u63a5\u8fd1\u65e0\u654c\u7684\u5b58\u5728\uff0c\\n\u540c\u65f6\u652f\u6301\u591a\u4eba\u534f\u540c / \u9875\u9762\u53d1\u5e03\u7ba1\u7406\uff0c\u53c8\u6709\u4e30\u5bcc\u7684\u5185\u5bb9\u5757\u548c\u6a21\u677f\u53ef\u4ee5\u4f7f\u7528\uff0cWiki\u652f\u6301Tag\u3002\\n\\n\u7f3a\u70b9\u662f\u4e0d\u80fd\u5b8c\u7f8e\u5bfc\u51fa\u5230\u5176\u5b83\u5730\u65b9\uff0c\u4e0d\u8fc7\u53ef\u4ee5\u540e\u7eed\u501f\u52a9\u6587\u672c\u5904\u7406\u5de5\u5177\u8fdb\u884c\u8f6c\u6362\u3002\\n\\n## [Cubox](https://cubox.cc)\\n\\n\u5c0f\u8bb0\u3001\u7075\u611f\u6536\u96c6\u5668\uff0c\u6709API/ \u6709\u7f51\u9875\u8f6c\u6362 / \u6709\u6807\u6ce8 / \u6709AI\u63a5\u53e3 / \u6709\u6d4f\u89c8\u5668\u63d2\u4ef6\uff0c\u867d\u7136\u6709\u7684\u529f\u80fd\u76f8\u5bf9\u73a9\u5177\uff0c\u5e76\u4e14\u9700\u8981\u6c2a\u91d1\uff0c\u4f46\u80dc\u5728\u6ca1\u6709\u540c\u7c7b\u7ade\u54c1\u3002\\n\\n\u5f53\u4f60\u6709\u5f88\u591a\u60f3\u8981\u9605\u8bfb\uff0c\u4f46\u53c8\u6563\u5e03\u5728\u5404\u79cd\u4e0d\u540c\u5730\u65b9\u7684\u7f51\u9875\u65f6\uff0cCubox\u80fd\u5e26\u6765\u66f4\u52a0\u7edf\u4e00\u7684\u9605\u8bfb\u4f53\u9a8c\\n\\n## [Day One](https://dayone.me)\\n\\n\u65e5\u8bb0\uff0c\u6709Mac\u548c\u624b\u673aApp\u548c\u7f51\u9875\u7aef\uff0c\u5206\u7c7b\u6807\u7b7e\u7b49\u529f\u80fd\u6bd4\u8f83\u9f50\u5168\uff08\u6bd4\u82f9\u679c\u90a3\u4e2a\u624b\u8bb0\u8981\u5f3a\u591a\u4e86\uff0c\u6682\u65f6\uff09\uff0c\u518d\u4e13\u4e1a\u7684\u8f6f\u4ef6\u4e5f\u4e0d\u80fd\u5b8c\u7f8e\u5730\u6d88\u5316\u751f\u6d3b\u4e2d\u7684\u70b9\u70b9\u6ef4\u6ef4\uff0cDay One\u66f4\u591a\u662f\u4e3a\u4e86\u6211\u7684\u90a3\u4e9b\u95f2\u8a00\u788e\u8bed\u3002\\n\\n## [Obsidian](https://obsidian.md)\\n\\n\u7b14\u8bb0\u754c\u7684VSCode\uff0c\u4e5f\u662f\u6211\u6700\u540e\u786e\u5b9a\u4e0b\u6765\u7684\u4e00\u6b3e\u5de5\u5177\uff0c\u7528\u6765\u914d\u5408\u6211\u8fdb\u884cGit\u77e5\u8bc6\u5e93\u7684\u7f16\u8f91\u3002\\n\u4e3b\u8981\u7684\u51fa\u53d1\u70b9\u662f\u89e3\u51b3Git\u77e5\u8bc6\u5e93\u6ca1\u6cd5\u5728\u624b\u673a/Pad\u7aef\u5feb\u901f\u7f16\u8f91\u7684\u95ee\u9898\uff0c\u6bd5\u7adf\u6709\u76f8\u5f53\u4e00\u6bb5\u4f7f\u65f6\u95f4\u91cc\uff0c\u4f60\u53ea\u9700\u8981\u5173\u6ce8\u8981\u5199\u4ec0\u4e48\uff0c\u800c\u4e0d\u662f\u600e\u4e48\u7ba1\u7406\u4f60\u7684Git\u4ed3\u5e93\u3002\\n\\n\u9700\u8981iCloud\u6765\u5b9e\u73b0\u8f83\u597d\u7684\u8de8\u7aef\u7f16\u8f91\u4f53\u9a8c\uff0c\u6211\u4e2a\u4eba\u7684\u7528\u6cd5\u662f\u914d\u5408Git\u63d2\u4ef6\uff08\u590d\u6742\u60c5\u51b5\u8fd8\u662f\u4f1a\u7528\u7eafGit\u5904\u7406\uff09\uff0c\u6700\u7ec8\u628a\u5185\u5bb9\u66f4\u65b0\u5230\u914d\u6709Action\u81ea\u52a8\u5316\u90e8\u7f72\u7684\u4ed3\u5e93\u91cc\u3002\u9057\u61be\u662f\u662f\u6ca1\u6709\u7f51\u9875\u7aef\uff0c\u8d77\u7801\u9700\u8981\u5e26\u4e00\u4e2aPad\u6765\u5f53\u4e3b\u529b\u8bbe\u5907\u3002\\n\\n\u603b\u7684\u6765\u8bf4\uff0c\u672a\u6765\u53ef\u671f\u5427\uff0c\u4f46\u5bf9\u4e8e\u975e\u7a0b\u5e8f\u6765\u8bf4\uff0cObsidian\u8fd8\u662f\u6709\u4e9b\u592a\u4e0d\u53cb\u597d\u4e86\uff0c\u5c24\u5176\u662f\u793e\u533a\u7684\u5404\u79cd\u540c\u6b65\u63d2\u4ef6\u4efb\u7136\u8fd8\u662f\u6ca1\u6cd5\u4fdd\u8bc1\u7a33\u5b9a\u6027\u7684\uff0c\u5e76\u4e14\u5f88\u591a\u63d2\u4ef6\u5bf9\u4e8eVault\u6765\u8bf4\u90fd\u662f\u6709\u5165\u4fb5\u6027\u7684\uff0c\u4e2d\u9014\u53d8\u66f4\u63d2\u4ef6\u4f1a\u975e\u5e38\u9ebb\u70e6\u3002\\n\\n## [OneNote](https://www.onenote.com)\\n\\n\u529f\u80fd\u9f50\u5168\u7684\u8001\u6d3e\u9009\u624b\uff0c\u4e0d\u662f\u975e\u5e38\u9002\u5408Markdown\uff0c\u4f46\u6392\u7248\u6bd4\u8f83\u7075\u6d3b\u5bf9Apple Pencil\u7684\u667a\u80fd\u624b\u5199\u652f\u6301\u662f\u6700\u597d\u7684\uff0c\u504f\u624b\u5199\u7684\u540c\u5fd7\u4f9d\u7136\u9700\u8981\u9009\u62e9OneNote\u3002\\n\\n## \u7ed3\u8bed&\u788e\u788e\u5ff5\\n\\n\u53d7\u524d\u516c\u53f8\u7684\u5f71\u54cd\uff0c\u6211\u5728\u4e4b\u524d\u4e00\u76f4\u90fd\u662f\u4e00\u540d\u5fe0\u5b9e\u7684\u8bed\u96c0\u7528\u6237\uff0c\u8bed\u96c0\u5728\u5404\u65b9\u9762\u5176\u5b9e\u4e5f\u7b97\u662f\u80fd\u7528\u7684\uff0c\\n\u4f46\u4eca\u5e74\u7684P0\u7ea7\u4e8b\u6545\u7740\u5b9e\u6709\u4e9b\u4f24\u4eba\u4e86\uff0c\u800c\u4e14\u8bed\u96c0\u7684\u4ea7\u54c1\u5f62\u6001\u4e5f\u4e0d\u662f\u7279\u522b\u660e\u6717\uff0c\u4e0d\u652f\u6301Tag\u641c\u7d22\u7b49\u95ee\u9898\uff0c\u5bf9\u4e8e\u60f3\u91cd\u5ea6\u6784\u5efa\u5e76\u4e14\u65f6\u4e0d\u65f6\u56de\u987e\u5185\u5bb9\u7684\u4eba\u6765\u8bf4\u662f\u5b58\u5728\u77ed\u677f\u7684\u3002\\n\\n\u603b\u7684\u6765\u8bf4\uff0c\u5bf9\u4e8e\u521a\u63a5\u89e6\u7b14\u8bb0\u5de5\u5177\u7684\u4eba\uff0c\u6211\u8fd8\u662f\u9996\u5148\u63a8\u8350Notion\u548cOneNote\uff0c\u5b83\u4eec\u7684\u4e0a\u624b\u6210\u672c\u8f83\u4f4e\uff0c\u529f\u80fd\u53c8\u975e\u5e38\u9f50\u5168\u3002\u8fdb\u9636\u9009\u624b\u53ef\u4ee5\u5c1d\u8bd5\u6298\u817e\u4e0bObsidian\uff0c\u4f46\u5b83\u548cNotion\u5b9e\u9645\u4e0a\u662f\u4e2a\u4e92\u8865\u7684\u5173\u7cfb\uff0cObsidian\u66f4\u504f\u5411\u4e8e\u79bb\u7ebf\u64b0\u5199\u3002"},{"id":"/2023/12/02/how-i-work-with-docusaurus","metadata":{"permalink":"/full-stack-docusaurus/blog/2023/12/02/how-i-work-with-docusaurus","editUrl":"https://github.com/slhmy/full-stack-docusaurus/tree/main/i18n/zh-CN/docusaurus-plugin-content-blog/2023-12-02-how-i-work-with-docusaurus.md","source":"@site/i18n/zh-CN/docusaurus-plugin-content-blog/2023-12-02-how-i-work-with-docusaurus.md","title":"\u6211\u662f\u5982\u4f55\u4f7f\u7528 Docusaurus \u7684","description":"\u5728\u6b64\u4e4b\u524d\uff0c\u6211\u4e5f\u4f7f\u7528\u8fc7\u5f88\u591a\u5176\u4ed6\u7684\u9759\u6001\u7f51\u7ad9\u751f\u6210\u5668\uff0c","date":"2023-12-02T00:00:00.000Z","tags":[{"inline":true,"label":"\u6307\u5f15","permalink":"/full-stack-docusaurus/blog/tags/\u6307\u5f15"},{"inline":true,"label":"\u601d\u8003","permalink":"/full-stack-docusaurus/blog/tags/\u601d\u8003"}],"readingTime":2.56,"hasTruncateMarker":false,"authors":[{"name":"slhmy","title":"Stay creative","url":"https://github.com/slhmy","imageURL":"https://github.com/slhmy.png","key":"slhmy","page":null}],"frontMatter":{"title":"\u6211\u662f\u5982\u4f55\u4f7f\u7528 Docusaurus \u7684","authors":["slhmy"],"tags":["\u6307\u5f15","\u601d\u8003"]},"unlisted":false,"prevItem":{"title":"\u5173\u4e8e\u7b14\u8bb0\u5de5\u5177","permalink":"/full-stack-docusaurus/blog/2023/12/24/about-note-tools"},"nextItem":{"title":"\u6b22\u8fce\ud83d\udc4b","permalink":"/full-stack-docusaurus/blog/weclome"}},"content":"\u5728\u6b64\u4e4b\u524d\uff0c\u6211\u4e5f\u4f7f\u7528\u8fc7\u5f88\u591a\u5176\u4ed6\u7684\u9759\u6001\u7f51\u7ad9\u751f\u6210\u5668\uff0c\\n\u6bd4\u5982 [Hugo](https://gohugo.io/)\u3001[Hexo](https://hexo.io/) \u4ee5\u53ca [mdBook](https://github.com/rust-lang/mdBook) \u7b49\u7b49\u3002\\n\u8fd9\u4e9b\u90fd\u662f\u975e\u5e38\u4f18\u79c0\u7684\u5de5\u5177\uff0c\u4f46 Docuasurus \u81ea\u7531\u5ea6\u548c\u529f\u80fd\u7684\u5b8c\u5584\u7a0b\u5ea6\u90fd\u662f\u6211\u6240\u89c1\u8fc7\u7684\u6700\u597d\u7684\uff0c\u5b83\u8ba9\u6211\u611f\u89c9\u5230\u5185\u5bb9\u80fd\u88ab\u66f4\u597d\u7684\u7ec4\u7ec7\u548c\u5c55\u793a\u3002\\n\\n\u4e0d\u8fc7\u5f3a\u5927\u7684\u81ea\u7531\u5ea6\u5e26\u6765\u7684\u662f\u914d\u7f6e\u7684\u590d\u6742\u6027\uff0c\u867d\u7136 Docusaurus \u5b98\u65b9\u63d0\u4f9b\u4e86\u5b8c\u5584\u7684\u6587\u6863\uff0c\u4f46\u662f\u6211\u8fd8\u662f\u82b1\u4e86\u5f88\u591a\u65f6\u95f4\u6765\u719f\u6089\u5b83\u7684\u5de5\u4f5c\u65b9\u5f0f\u3002\\n\u6211\u8ba4\u4e3a\u4ece Docusaurus \u7684\u542f\u52a8\u9879\u76ee\u5f00\u59cb\uff0c\u5230\u6700\u7ec8\u771f\u6b63\u7684\u5de5\u4f5c\u6d41\u7684\u5efa\u7acb\uff0c\u4f9d\u65e7\u6709\u5f88\u591a\u5185\u5bb9\u503c\u5f97\u8bb0\u5f55\u3002\\n\\n\u8fd9\u5c31\u662f\u8fd9\u7bc7\u535a\u5ba2\u5b58\u5728\u7684\u539f\u56e0\u3002\\n\\n### \u5173\u4e8e i18n\\n\\n\u6211\u5bf9\u4e8e\u9879\u76ee\u7684\u56fd\u9645\u5316\u662f\u6709\u6267\u5ff5\u7684\uff0c\u5c3d\u7ba1\u6211\u5728\u8fd9\u4e2a\u4ed3\u5e93\u4e2d\u57fa\u672c\u53ea\u4f7f\u7528\u4e2d\u6587\uff0c\u4f46\u662f\u6211\u8fd8\u662f\u5e0c\u671b\u80fd\u591f\u4e3a\u672a\u6765\u7684\u5408\u4f5c\u8005\u63d0\u4f9b\u66f4\u591a\u7684\u53ef\u80fd\u6027\u3002\\n\\n\u968f\u7740 i18n \u7684\u5f15\u5165\uff0c\u521b\u5efa\u548c\u7f16\u8f91\u6587\u6863\u7684\u52a8\u4f5c\u53d8\u5f97\u66f4\u52a0\u7684\u590d\u6742\u3002\\n\u4f60\u53ef\u80fd\u4f1a\u53d1\u73b0 \u201c\u7f16\u8f91\u6b64\u9875\u201d \u6309\u94ae\u53ea\u4f1a\u5b9a\u5411\u5230\u82f1\u6587\u7248\u672c\u7684\u6e90\u7801\uff0c\u90a3\u662f\u56e0\u4e3a\u4f60\u5ffd\u7565\u4e86\u4e00\u9879\u914d\u7f6e\u5bfc\u81f4\u7684\u3002\\n`editLocalizedFiles` \u914d\u7f6e\u9879\u9ed8\u8ba4\u662f `false`\uff0c\u4f60\u9700\u8981\u5c06\u5b83\u8bbe\u7f6e\u4e3a `true` \u624d\u80fd\u591f\u5728\u5176\u4ed6\u8bed\u8a00\u7684\u6587\u6863\u4e2d\u4f7f\u7528 \u201c\u7f16\u8f91\u6b64\u9875\u201d \u6309\u94ae\u3002\\n\\n:::tip\\n\u4f60\u53ef\u80fd\u9700\u8981\u5728 Docuasurus \u7684 [\u5b98\u65b9\u7f51\u7ad9](https://docusaurus.io/) \u4e2d\u67e5\u770b\u66f4\u591a\u7684\u5185\u5bb9\uff0c\\n\u6216\u8005\u4f60\u53ef\u4ee5\u641c\u7d22 edit url \u4ee5\u83b7\u53d6\u66f4\u591a\u7684\u4fe1\u606f\uff08\u6ce8\u610f\u662f edit url\uff0c\u4e0d\u662f editurl\uff0c\u8fd9\u4f1a\u5f71\u54cd\u641c\u7d22\u7684\u7ed3\u679c\uff09\u3002\\n\u6211\u5f53\u65f6\u5c31\u56e0\u4e3a\u641c\u7d22\u95ee\u9898\u751a\u81f3\u53bb Discord \u8be2\u95ee\u4e86 Docuasurus \u7684\u5f00\u53d1\u8005\uff0c\u6700\u540e\u53d1\u73b0\u662f\u8fd9\u6837\u4e00\u4e2a\u5c0f\u5dee\u5f02\u5bfc\u81f4\u7684\u3002\\n:::\\n\\n### \u5173\u4e8e Algolia\\n\\nDocuasurus \u5b98\u65b9\u63d0\u4f9b\u4e86 Algolia 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\u4e2d\u4f7f\u7528\u4efb\u4f55\u4f60\u60f3\u8981\u7684\u4e1c\u897f\uff0c\u8ba9\u6211\u6709\u4e86\u66f4\u591a\u4f7f\u7528\u5b83\u7684\u60f3\u6cd5~\\n\\n\u5148\u6765\u770b\u770b\u6548\u679c\uff1a\\n\\nimport MarkmapRender from \\"/components/MarkmapRender.tsx\\";\\n\\n\\n\\n:::tip\\n\u4f60\u53ef\u4ee5\u5728\\n[\ud83d\udc49 \u8fd9\u91cc](https://github.com/slhmy/full-stack-docusaurus/blob/main/i18n/zh-CN/docusaurus-plugin-content-blog/2023-10-29-mindmap-in-mdx.mdx)\\n\u67e5\u770b\u5230\u672c\u7bc7\u535a\u5ba2\u7684\u6e90\u7801\uff0c\u4ee5\u4fbf\u4e8e\u4f60\u66f4\u597d\u7684\u7406\u89e3\u5b83\u662f\u5982\u4f55\u8fd0\u4f5c\u7684\u3002\\n:::\\n\\n\u4e3a\u4e86\u5b9e\u73b0\u5728 MDX \u4e2d\u4f7f\u7528\u601d\u7ef4\u5bfc\u56fe\uff0c\u6211\u4eec\u9700\u8981\u5f15\u5165\u4e00\u4e2a\u53eb\u505a[Markmap](https://github.com/markmap/markmap)\u7684\u5e93\u3002\\n\u5e76\u4e14\u5c06\u5176\u5c01\u88c5\u6210\u4e00\u4e2a React \u7ec4\u4ef6\uff0c\u4ee5\u4fbf\u4e8e\u5728 MDX \u4e2d\u4f7f\u7528\u3002\\n\\n```tsx\\nimport React, { useEffect } from \\"react\\";\\nimport { Transformer } from \\"markmap-lib\\";\\nconst { Markmap } = require(\\"markmap-view\\");\\n\\nconst transformer = new Transformer();\\n\\nconst MarkmapRender: React.FC<{\\n value?: string;\\n style?: React.CSSProperties;\\n}> = (props) => {\\n const svg = React.useRef();\\n\\n useEffect(() => {\\n const mm = Markmap.create(svg.current);\\n const { root } = transformer.transform(props.value || \\"\\");\\n mm.setData(root);\\n mm.fit();\\n }, [props.value]);\\n\\n return (\\n \\n \\n \\n );\\n};\\n\\nexport default MarkmapRender;\\n```\\n\\n\u8fd9\u662f\u4e00\u4e2a\u76f8\u5bf9\u521d\u7ea7\u4f46\u6709\u8f83\u4e3a\u73b0\u4ee3\u7684\u793a\u4f8b\uff0c\u8f83\u4e3a\u5b8c\u6574\u7684 React \u4f7f\u7528\u6848\u4f8b\u53ef\u4ee5\u53c2\u8003\\n[\ud83d\udc49 \u8fd9\u91cc](https://stackblitz.com/edit/markmap?file=markmap-class.tsx,markmap-hooks.tsx)\u3002\\n\\n> 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\u5173\u952e\u70b9\\n\\n\u5176\u5b9e\u4e34\u8fd12024\uff0c\u5e02\u9762\u4e0a\u5df2\u7ecf\u6709\u975e\u5e38\u5145\u8db3\u7684\u7b14\u8bb0\u5de5\u5177\u53ef\u4ee5\u9009\u62e9\u4e86\uff0c\u4f46\u5f88\u591a\u201c\u5176\u4e2d\u4e4b\u4e00\u201d\u603b\u662f\u8ba9\u6211\u611f\u89c9\u5e76\u4e0d\u201c\u5b8c\u7f8e\u201d\uff0c\u4f60\u5f88\u96be\u8bf4\u5b83\u7684\u95ee\u9898\u5230\u5e95\u5728\u54ea\u3002\u603b\u7684\u6765\u8bf4\u6211\u9009\u62e9\u7b14\u8bb0\u5de5\u5177\u4e3b\u8981\u8003\u8651\u7684\u6709\u8fd9\u51e0\u70b9\uff1a\\n\\n- \u591a\u7aef\u4e92\u901a\uff0c\u53ef\u590d\u5236/\u53ef\u4f4e\u6210\u672c\u8fc1\u79fb\\n \\t- \u6211\u5e0c\u671b\u5728\u6709\u7075\u611f\u7684\u65f6\u5019\u968f\u65f6\u80fd\u8bbf\u95ee\u5230\u6211\u7684\u7b14\u8bb0\uff0c\u4ee5\u4fbf\u6211\u5feb\u901f\u5730\u7f16\u8f91\u5b83\u4eec\\n \\t- \u540c\u65f6\u6211\u4e5f\u4f1a\u62c5\u5fc3\u670d\u52a1\u6545\u969c\u5e26\u6765\u7684\u4e0d\u786e\u5b9a\u56e0\u7d20\uff0c\u6240\u4ee5\u5907\u4efd\u4e5f\u662f\u9700\u8981\u8003\u8651\u7684\\n- \u94fe\u63a5\u4f53\u7cfb\uff0c\u6570\u636e\u7ec4\u7ec7\\n \\t- Tag\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\u8fd8\u662f\u975e\u5e38\u91cd\u8981\u7684\\n \\t- \u4e30\u5bcc\u7684\u6570\u636e\u7ec7\u5728\u67d0\u79cd\u7a0b\u5ea6\u4e0a\u662f\u548c\u53ef\u8fc1\u79fb\u6027\u51b2\u7a81\u7684\uff0c\u6240\u4ee5\u6211\u4f1a\u504f\u5411\u4f7f\u7528\u4e00\u4e9b\u5f00\u6e90\u7684\u5de5\u5177\uff0c\u6bd4\u5982\u7528Mermaid\u6765\u753b\u8111\u56fe\\n\\n## \u63a8\u8350\\n\\n## [Notion](https://www.notion.so)\\n\\n\u9ad8\u5ea6\u96c6\u6210\u7684\u77e5\u8bc6\u5e93\u5de5\u5177\uff0c\u5728\u6210\u54c1\u5f53\u4e2d\u63a5\u8fd1\u65e0\u654c\u7684\u5b58\u5728\uff0c\\n\u540c\u65f6\u652f\u6301\u591a\u4eba\u534f\u540c / \u9875\u9762\u53d1\u5e03\u7ba1\u7406\uff0c\u53c8\u6709\u4e30\u5bcc\u7684\u5185\u5bb9\u5757\u548c\u6a21\u677f\u53ef\u4ee5\u4f7f\u7528\uff0cWiki\u652f\u6301Tag\u3002\\n\\n\u7f3a\u70b9\u662f\u4e0d\u80fd\u5b8c\u7f8e\u5bfc\u51fa\u5230\u5176\u5b83\u5730\u65b9\uff0c\u4e0d\u8fc7\u53ef\u4ee5\u540e\u7eed\u501f\u52a9\u6587\u672c\u5904\u7406\u5de5\u5177\u8fdb\u884c\u8f6c\u6362\u3002\\n\\n## [Cubox](https://cubox.cc)\\n\\n\u5c0f\u8bb0\u3001\u7075\u611f\u6536\u96c6\u5668\uff0c\u6709API/ \u6709\u7f51\u9875\u8f6c\u6362 / \u6709\u6807\u6ce8 / \u6709AI\u63a5\u53e3 / \u6709\u6d4f\u89c8\u5668\u63d2\u4ef6\uff0c\u867d\u7136\u6709\u7684\u529f\u80fd\u76f8\u5bf9\u73a9\u5177\uff0c\u5e76\u4e14\u9700\u8981\u6c2a\u91d1\uff0c\u4f46\u80dc\u5728\u6ca1\u6709\u540c\u7c7b\u7ade\u54c1\u3002\\n\\n\u5f53\u4f60\u6709\u5f88\u591a\u60f3\u8981\u9605\u8bfb\uff0c\u4f46\u53c8\u6563\u5e03\u5728\u5404\u79cd\u4e0d\u540c\u5730\u65b9\u7684\u7f51\u9875\u65f6\uff0cCubox\u80fd\u5e26\u6765\u66f4\u52a0\u7edf\u4e00\u7684\u9605\u8bfb\u4f53\u9a8c\\n\\n## [Day One](https://dayone.me)\\n\\n\u65e5\u8bb0\uff0c\u6709Mac\u548c\u624b\u673aApp\u548c\u7f51\u9875\u7aef\uff0c\u5206\u7c7b\u6807\u7b7e\u7b49\u529f\u80fd\u6bd4\u8f83\u9f50\u5168\uff08\u6bd4\u82f9\u679c\u90a3\u4e2a\u624b\u8bb0\u8981\u5f3a\u591a\u4e86\uff0c\u6682\u65f6\uff09\uff0c\u518d\u4e13\u4e1a\u7684\u8f6f\u4ef6\u4e5f\u4e0d\u80fd\u5b8c\u7f8e\u5730\u6d88\u5316\u751f\u6d3b\u4e2d\u7684\u70b9\u70b9\u6ef4\u6ef4\uff0cDay One\u66f4\u591a\u662f\u4e3a\u4e86\u6211\u7684\u90a3\u4e9b\u95f2\u8a00\u788e\u8bed\u3002\\n\\n## [Obsidian](https://obsidian.md)\\n\\n\u7b14\u8bb0\u754c\u7684VSCode\uff0c\u4e5f\u662f\u6211\u6700\u540e\u786e\u5b9a\u4e0b\u6765\u7684\u4e00\u6b3e\u5de5\u5177\uff0c\u7528\u6765\u914d\u5408\u6211\u8fdb\u884cGit\u77e5\u8bc6\u5e93\u7684\u7f16\u8f91\u3002\\n\u4e3b\u8981\u7684\u51fa\u53d1\u70b9\u662f\u89e3\u51b3Git\u77e5\u8bc6\u5e93\u6ca1\u6cd5\u5728\u624b\u673a/Pad\u7aef\u5feb\u901f\u7f16\u8f91\u7684\u95ee\u9898\uff0c\u6bd5\u7adf\u6709\u76f8\u5f53\u4e00\u6bb5\u4f7f\u65f6\u95f4\u91cc\uff0c\u4f60\u53ea\u9700\u8981\u5173\u6ce8\u8981\u5199\u4ec0\u4e48\uff0c\u800c\u4e0d\u662f\u600e\u4e48\u7ba1\u7406\u4f60\u7684Git\u4ed3\u5e93\u3002\\n\\n\u9700\u8981iCloud\u6765\u5b9e\u73b0\u8f83\u597d\u7684\u8de8\u7aef\u7f16\u8f91\u4f53\u9a8c\uff0c\u6211\u4e2a\u4eba\u7684\u7528\u6cd5\u662f\u914d\u5408Git\u63d2\u4ef6\uff08\u590d\u6742\u60c5\u51b5\u8fd8\u662f\u4f1a\u7528\u7eafGit\u5904\u7406\uff09\uff0c\u6700\u7ec8\u628a\u5185\u5bb9\u66f4\u65b0\u5230\u914d\u6709Action\u81ea\u52a8\u5316\u90e8\u7f72\u7684\u4ed3\u5e93\u91cc\u3002\u9057\u61be\u662f\u662f\u6ca1\u6709\u7f51\u9875\u7aef\uff0c\u8d77\u7801\u9700\u8981\u5e26\u4e00\u4e2aPad\u6765\u5f53\u4e3b\u529b\u8bbe\u5907\u3002\\n\\n\u603b\u7684\u6765\u8bf4\uff0c\u672a\u6765\u53ef\u671f\u5427\uff0c\u4f46\u5bf9\u4e8e\u975e\u7a0b\u5e8f\u6765\u8bf4\uff0cObsidian\u8fd8\u662f\u6709\u4e9b\u592a\u4e0d\u53cb\u597d\u4e86\uff0c\u5c24\u5176\u662f\u793e\u533a\u7684\u5404\u79cd\u540c\u6b65\u63d2\u4ef6\u4efb\u7136\u8fd8\u662f\u6ca1\u6cd5\u4fdd\u8bc1\u7a33\u5b9a\u6027\u7684\uff0c\u5e76\u4e14\u5f88\u591a\u63d2\u4ef6\u5bf9\u4e8eVault\u6765\u8bf4\u90fd\u662f\u6709\u5165\u4fb5\u6027\u7684\uff0c\u4e2d\u9014\u53d8\u66f4\u63d2\u4ef6\u4f1a\u975e\u5e38\u9ebb\u70e6\u3002\\n\\n## [OneNote](https://www.onenote.com)\\n\\n\u529f\u80fd\u9f50\u5168\u7684\u8001\u6d3e\u9009\u624b\uff0c\u4e0d\u662f\u975e\u5e38\u9002\u5408Markdown\uff0c\u4f46\u6392\u7248\u6bd4\u8f83\u7075\u6d3b\u5bf9Apple Pencil\u7684\u667a\u80fd\u624b\u5199\u652f\u6301\u662f\u6700\u597d\u7684\uff0c\u504f\u624b\u5199\u7684\u540c\u5fd7\u4f9d\u7136\u9700\u8981\u9009\u62e9OneNote\u3002\\n\\n## \u7ed3\u8bed&\u788e\u788e\u5ff5\\n\\n\u53d7\u524d\u516c\u53f8\u7684\u5f71\u54cd\uff0c\u6211\u5728\u4e4b\u524d\u4e00\u76f4\u90fd\u662f\u4e00\u540d\u5fe0\u5b9e\u7684\u8bed\u96c0\u7528\u6237\uff0c\u8bed\u96c0\u5728\u5404\u65b9\u9762\u5176\u5b9e\u4e5f\u7b97\u662f\u80fd\u7528\u7684\uff0c\\n\u4f46\u4eca\u5e74\u7684P0\u7ea7\u4e8b\u6545\u7740\u5b9e\u6709\u4e9b\u4f24\u4eba\u4e86\uff0c\u800c\u4e14\u8bed\u96c0\u7684\u4ea7\u54c1\u5f62\u6001\u4e5f\u4e0d\u662f\u7279\u522b\u660e\u6717\uff0c\u4e0d\u652f\u6301Tag\u641c\u7d22\u7b49\u95ee\u9898\uff0c\u5bf9\u4e8e\u60f3\u91cd\u5ea6\u6784\u5efa\u5e76\u4e14\u65f6\u4e0d\u65f6\u56de\u987e\u5185\u5bb9\u7684\u4eba\u6765\u8bf4\u662f\u5b58\u5728\u77ed\u677f\u7684\u3002\\n\\n\u603b\u7684\u6765\u8bf4\uff0c\u5bf9\u4e8e\u521a\u63a5\u89e6\u7b14\u8bb0\u5de5\u5177\u7684\u4eba\uff0c\u6211\u8fd8\u662f\u9996\u5148\u63a8\u8350Notion\u548cOneNote\uff0c\u5b83\u4eec\u7684\u4e0a\u624b\u6210\u672c\u8f83\u4f4e\uff0c\u529f\u80fd\u53c8\u975e\u5e38\u9f50\u5168\u3002\u8fdb\u9636\u9009\u624b\u53ef\u4ee5\u5c1d\u8bd5\u6298\u817e\u4e0bObsidian\uff0c\u4f46\u5b83\u548cNotion\u5b9e\u9645\u4e0a\u662f\u4e2a\u4e92\u8865\u7684\u5173\u7cfb\uff0cObsidian\u66f4\u504f\u5411\u4e8e\u79bb\u7ebf\u64b0\u5199\u3002"},{"id":"/2023/12/02/how-i-work-with-docusaurus","metadata":{"permalink":"/full-stack-docusaurus/blog/2023/12/02/how-i-work-with-docusaurus","editUrl":"https://github.com/slhmy/full-stack-docusaurus/tree/main/i18n/zh-CN/docusaurus-plugin-content-blog/2023-12-02-how-i-work-with-docusaurus.md","source":"@site/i18n/zh-CN/docusaurus-plugin-content-blog/2023-12-02-how-i-work-with-docusaurus.md","title":"\u6211\u662f\u5982\u4f55\u4f7f\u7528 Docusaurus \u7684","description":"\u5728\u6b64\u4e4b\u524d\uff0c\u6211\u4e5f\u4f7f\u7528\u8fc7\u5f88\u591a\u5176\u4ed6\u7684\u9759\u6001\u7f51\u7ad9\u751f\u6210\u5668\uff0c","date":"2023-12-02T00:00:00.000Z","tags":[{"inline":true,"label":"\u6307\u5f15","permalink":"/full-stack-docusaurus/blog/tags/\u6307\u5f15"},{"inline":true,"label":"\u601d\u8003","permalink":"/full-stack-docusaurus/blog/tags/\u601d\u8003"}],"readingTime":2.56,"hasTruncateMarker":false,"authors":[{"name":"slhmy","title":"Stay creative","url":"https://github.com/slhmy","imageURL":"https://github.com/slhmy.png","key":"slhmy","page":null}],"frontMatter":{"title":"\u6211\u662f\u5982\u4f55\u4f7f\u7528 Docusaurus \u7684","authors":["slhmy"],"tags":["\u6307\u5f15","\u601d\u8003"]},"unlisted":false,"prevItem":{"title":"\u5173\u4e8e\u7b14\u8bb0\u5de5\u5177","permalink":"/full-stack-docusaurus/blog/2023/12/24/about-note-tools"},"nextItem":{"title":"\u6b22\u8fce\ud83d\udc4b","permalink":"/full-stack-docusaurus/blog/weclome"}},"content":"\u5728\u6b64\u4e4b\u524d\uff0c\u6211\u4e5f\u4f7f\u7528\u8fc7\u5f88\u591a\u5176\u4ed6\u7684\u9759\u6001\u7f51\u7ad9\u751f\u6210\u5668\uff0c\\n\u6bd4\u5982 [Hugo](https://gohugo.io/)\u3001[Hexo](https://hexo.io/) \u4ee5\u53ca [mdBook](https://github.com/rust-lang/mdBook) \u7b49\u7b49\u3002\\n\u8fd9\u4e9b\u90fd\u662f\u975e\u5e38\u4f18\u79c0\u7684\u5de5\u5177\uff0c\u4f46 Docuasurus \u81ea\u7531\u5ea6\u548c\u529f\u80fd\u7684\u5b8c\u5584\u7a0b\u5ea6\u90fd\u662f\u6211\u6240\u89c1\u8fc7\u7684\u6700\u597d\u7684\uff0c\u5b83\u8ba9\u6211\u611f\u89c9\u5230\u5185\u5bb9\u80fd\u88ab\u66f4\u597d\u7684\u7ec4\u7ec7\u548c\u5c55\u793a\u3002\\n\\n\u4e0d\u8fc7\u5f3a\u5927\u7684\u81ea\u7531\u5ea6\u5e26\u6765\u7684\u662f\u914d\u7f6e\u7684\u590d\u6742\u6027\uff0c\u867d\u7136 Docusaurus \u5b98\u65b9\u63d0\u4f9b\u4e86\u5b8c\u5584\u7684\u6587\u6863\uff0c\u4f46\u662f\u6211\u8fd8\u662f\u82b1\u4e86\u5f88\u591a\u65f6\u95f4\u6765\u719f\u6089\u5b83\u7684\u5de5\u4f5c\u65b9\u5f0f\u3002\\n\u6211\u8ba4\u4e3a\u4ece Docusaurus \u7684\u542f\u52a8\u9879\u76ee\u5f00\u59cb\uff0c\u5230\u6700\u7ec8\u771f\u6b63\u7684\u5de5\u4f5c\u6d41\u7684\u5efa\u7acb\uff0c\u4f9d\u65e7\u6709\u5f88\u591a\u5185\u5bb9\u503c\u5f97\u8bb0\u5f55\u3002\\n\\n\u8fd9\u5c31\u662f\u8fd9\u7bc7\u535a\u5ba2\u5b58\u5728\u7684\u539f\u56e0\u3002\\n\\n### \u5173\u4e8e i18n\\n\\n\u6211\u5bf9\u4e8e\u9879\u76ee\u7684\u56fd\u9645\u5316\u662f\u6709\u6267\u5ff5\u7684\uff0c\u5c3d\u7ba1\u6211\u5728\u8fd9\u4e2a\u4ed3\u5e93\u4e2d\u57fa\u672c\u53ea\u4f7f\u7528\u4e2d\u6587\uff0c\u4f46\u662f\u6211\u8fd8\u662f\u5e0c\u671b\u80fd\u591f\u4e3a\u672a\u6765\u7684\u5408\u4f5c\u8005\u63d0\u4f9b\u66f4\u591a\u7684\u53ef\u80fd\u6027\u3002\\n\\n\u968f\u7740 i18n \u7684\u5f15\u5165\uff0c\u521b\u5efa\u548c\u7f16\u8f91\u6587\u6863\u7684\u52a8\u4f5c\u53d8\u5f97\u66f4\u52a0\u7684\u590d\u6742\u3002\\n\u4f60\u53ef\u80fd\u4f1a\u53d1\u73b0 \u201c\u7f16\u8f91\u6b64\u9875\u201d \u6309\u94ae\u53ea\u4f1a\u5b9a\u5411\u5230\u82f1\u6587\u7248\u672c\u7684\u6e90\u7801\uff0c\u90a3\u662f\u56e0\u4e3a\u4f60\u5ffd\u7565\u4e86\u4e00\u9879\u914d\u7f6e\u5bfc\u81f4\u7684\u3002\\n`editLocalizedFiles` \u914d\u7f6e\u9879\u9ed8\u8ba4\u662f `false`\uff0c\u4f60\u9700\u8981\u5c06\u5b83\u8bbe\u7f6e\u4e3a `true` \u624d\u80fd\u591f\u5728\u5176\u4ed6\u8bed\u8a00\u7684\u6587\u6863\u4e2d\u4f7f\u7528 \u201c\u7f16\u8f91\u6b64\u9875\u201d \u6309\u94ae\u3002\\n\\n:::tip\\n\u4f60\u53ef\u80fd\u9700\u8981\u5728 Docuasurus \u7684 [\u5b98\u65b9\u7f51\u7ad9](https://docusaurus.io/) \u4e2d\u67e5\u770b\u66f4\u591a\u7684\u5185\u5bb9\uff0c\\n\u6216\u8005\u4f60\u53ef\u4ee5\u641c\u7d22 edit url \u4ee5\u83b7\u53d6\u66f4\u591a\u7684\u4fe1\u606f\uff08\u6ce8\u610f\u662f edit url\uff0c\u4e0d\u662f editurl\uff0c\u8fd9\u4f1a\u5f71\u54cd\u641c\u7d22\u7684\u7ed3\u679c\uff09\u3002\\n\u6211\u5f53\u65f6\u5c31\u56e0\u4e3a\u641c\u7d22\u95ee\u9898\u751a\u81f3\u53bb Discord \u8be2\u95ee\u4e86 Docuasurus \u7684\u5f00\u53d1\u8005\uff0c\u6700\u540e\u53d1\u73b0\u662f\u8fd9\u6837\u4e00\u4e2a\u5c0f\u5dee\u5f02\u5bfc\u81f4\u7684\u3002\\n:::\\n\\n### \u5173\u4e8e Algolia\\n\\nDocuasurus \u5b98\u65b9\u63d0\u4f9b\u4e86 Algolia \u7684\u96c6\u6210\uff0c\u8fd9\u662f\u4e00\u4e2a\u975e\u5e38\u597d\u7684\u529f\u80fd\uff0c\u5e76\u4e14\u4e00\u5f00\u59cb\u662f\u514d\u8d39\u7684\u3002\\n\u4f46\u914d\u7f6e\u8d77\u6765\u9700\u8981\u4e00\u4e9b\u65f6\u95f4\uff0c\u5c3d\u7ba1 Docuasurus \u548c Algolia \u90fd\u5f7c\u6b64\u63d0\u4f9b\u4e86\u5b8c\u5584\u7684\u6587\u6863\uff0c\u4f46\u662f\u6211\u8fd8\u662f\u82b1\u4e86\u5f88\u591a\u65f6\u95f4\u6765\u719f\u6089\u5b83\u4eec\u7684\u5de5\u4f5c\u65b9\u5f0f\u3002"},{"id":"weclome","metadata":{"permalink":"/full-stack-docusaurus/blog/weclome","editUrl":"https://github.com/slhmy/full-stack-docusaurus/tree/main/i18n/zh-CN/docusaurus-plugin-content-blog/2023-11-12-welcome.md","source":"@site/i18n/zh-CN/docusaurus-plugin-content-blog/2023-11-12-welcome.md","title":"\u6b22\u8fce\ud83d\udc4b","description":"\u8fd9\u91cc\u662f\u5bf9\u201c\u5168\u6808\u5f00\u53d1\u77e5\u8bc6\u5e93\u201d\u7684\u4e00\u4e9b\u8bf4\u660e\uff0c\u5e2e\u52a9\u4f60\u66f4\u5feb\u7684\u4e86\u89e3\u5230\u4f60\u60f3\u8981\u7684\u5185\u5bb9\u3002","date":"2023-11-12T00:00:00.000Z","tags":[{"inline":true,"label":"\u6307\u5f15","permalink":"/full-stack-docusaurus/blog/tags/\u6307\u5f15"}],"readingTime":2.9,"hasTruncateMarker":false,"authors":[{"name":"slhmy","title":"Stay creative","url":"https://github.com/slhmy","imageURL":"https://github.com/slhmy.png","key":"slhmy","page":null}],"frontMatter":{"slug":"weclome","title":"\u6b22\u8fce\ud83d\udc4b","authors":["slhmy"],"tags":["\u6307\u5f15"]},"unlisted":false,"prevItem":{"title":"\u6211\u662f\u5982\u4f55\u4f7f\u7528 Docusaurus \u7684","permalink":"/full-stack-docusaurus/blog/2023/12/02/how-i-work-with-docusaurus"},"nextItem":{"title":"MDX\u4e2d\u7684\u601d\u7ef4\u5bfc\u56fe","permalink":"/full-stack-docusaurus/blog/mindmap-in-mdx"}},"content":":::tip\\n\u8fd9\u91cc\u662f\u5bf9\u201c\u5168\u6808\u5f00\u53d1\u77e5\u8bc6\u5e93\u201d\u7684\u4e00\u4e9b\u8bf4\u660e\uff0c\u5e2e\u52a9\u4f60\u66f4\u5feb\u7684\u4e86\u89e3\u5230\u4f60\u60f3\u8981\u7684\u5185\u5bb9\u3002\\n:::\\n\\n## \u524d\u8a00\\n\\n\u6211\u5728\u5b66\u751f\u65f6\u4ee3\u65f6\u5e38\u5e38\u88ab\u7c7b\u4f3c\u7684\u95ee\u9898\u56f0\u6270\uff1a\u4e0d\u6e05\u695a\u8be5\u5982\u4f55\u5229\u7528\u7f16\u7a0b\u6765\u89e3\u51b3\u9047\u5230\u7684\u95ee\u9898\u3001\u5b9e\u73b0\u60f3\u8981\u7684\u529f\u80fd\u3002\\n\u5b66\u4e60\u7684\u57fa\u7840\u77e5\u8bc6\u5f88\u591a\uff0c\u4f46\u662f\u5728\u5b9e\u9645\u7684\u5e94\u7528\u4e2d\uff0c\u5374\u4e0d\u77e5\u9053\u5982\u4f55\u4f7f\u7528\u3002\\n\\n\u6211\u603b\u662f\u5e0c\u671b\u80fd\u591f\u4e86\u89e3\u4e8b\u7269\u7684\u5168\u8c8c\uff0c\u800c\u4e0d\u662f\u53ea\u77e5\u9053\u5176\u4e2d\u7684\u4e00\u90e8\u5206\u3002\\n\u4e5f\u56e0\u6b64\uff0c\u5728\u51e0\u5e74\u524d\u5f00\u59cb\u5bfb\u627e\u5de5\u4f5c\u65f6\uff0c\u5c31\u5df2\u7ecf\u8003\u8651\u8fc7\u662f\u5426\u53ef\u4ee5\u6210\u4e3a\u4e00\u540d\u5168\u6808\u5f00\u53d1\u8005\u3002\\n\\n\u5982\u4f60\u6240\u89c1\uff0c\u6211\u73b0\u5728\u5efa\u7acb\u4e86\u8fd9\u4e2a\u77e5\u8bc6\u5e93\uff0c\u8bf4\u660e\u6211\u5df2\u7ecf\u6709\u4e86\u4e00\u5b9a\u7684\u4fe1\u5fc3\u548c\u80fd\u529b\u3002\\n\u201c\u5168\u6808\u201d\u662f\u4e00\u4e2a\u65e0\u9650\u5bbd\u5e7f\u7684\u9886\u57df\uff0c\u4e0d\u8fc7\u5e78\u8fd0\u7684\u662f\uff0c\u6211\u4eec\u8fdb\u5165\u4e86\u4e00\u4e2a\u5d2d\u65b0\u7684\u65f6\u4ee3\uff0c\u5728AI\u548c\u73b0\u4ee3\u5316\u7684\u5de5\u5177\u94fe\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u66f4\u5feb\u7684\u5b66\u4e60\u548c\u5b9e\u8df5\u3002\\n\u6211\u5e0c\u671b\u8fd9\u4e2a\u77e5\u8bc6\u5e93\u53ef\u4ee5\u5e2e\u52a9\u5230\u4f60\uff0c\u6211\u4eec\u4e00\u8d77\u4ece\u6700\u901a\u7528\u7684\u90e8\u5206\u5f00\u59cb\uff0c\u6700\u7ec8\u5b66\u4f1a\u5982\u4f55\u5728\u81ea\u5df1\u559c\u6b22\u7684\u9886\u57df\u4e2d\u524d\u8fdb\u3002\\n\\n## \u6307\u5357\\n\\n\u201c\u5168\u6808\u5f00\u53d1\u77e5\u8bc6\u5e93\u201d\u4e3b\u8981\u6709\u4e09\u4e2a\u5206\u533a\uff1a**\u5f00\u53d1**\u3001**\u7b97\u6cd5**\u3001**\u535a\u5ba2**\uff08Docusaurus\u662f\u6846\u67b6\u63d0\u4f9b\u7684\u5efa\u7ad9\u6307\u5f15\uff0c\u6211\u53ea\u662f\u8fd8\u60f3\u6682\u65f6\u7559\u7740\u5b83\uff09\u3002\\n\\n- \u5f00\u53d1\u548c\u7b97\u6cd5\u5206\u533a\u662f\u6211\u5bf9\u57fa\u7840\u77e5\u8bc6\u8fdb\u884c\u68b3\u7406\u7684\u5206\u533a\uff0c\u8fd9\u4e9b\u5185\u5bb9\u5e94\u5f53\u662f\u901a\u7528\u7684\uff0c\u4f60\u4f1a\u5728\u8003\u8bd5\u3001\u9762\u8bd5\u6216\u8005\u5b9e\u9645\u5f00\u53d1\u4e2d\u9047\u5230\u5b83\u4eec\u3002\\n- \u535a\u5ba2\u66f4\u591a\u5730\u4f1a\u662f\u4e00\u4e9b\u6211\u4e2a\u4eba\u63a2\u7d22\u548c\u60f3\u6cd5\uff0c\u5b83\u4eec\u4f1a\u66f4\u52a0\u6709\u8da3\u3002\\n\\n**\u641c\u7d22**\u529f\u80fd\u662f\u5b8c\u5168\u53ef\u7528\u7684\uff0c\u53ef\u4ee5\u5e2e\u52a9\u4f60\u5feb\u901f\u627e\u5230\u60f3\u8981\u7684\u5185\u5bb9\u3002\\n\u8fd9\u662f\u4e00\u4e2a\u6211\u65e5\u5e38\u4e5f\u4f1a\u4f7f\u7528\u7684\u529f\u80fd\uff0c\u6240\u4ee5\u8bf7\u653e\u5fc3\uff0c\u6211\u4f1a\u5c3d\u53ef\u80fd\u7684\u4fdd\u8bc1\u5b83\u7684\u53ef\u7528\u6027\u3002\\n\\n## \u8d21\u732e\\n\\n\u8fd9\u4e2a\u77e5\u8bc6\u5e93\u662f\u5f00\u6e90\u7684\uff0c\u4f60\u53ef\u4ee5\u5728[GitHub](https://github.com/slhmy/full-stack-docusaurus)\u627e\u5230\u6e90\u7801\u3002\\n\\n:::note\\n\u201c\u7f16\u8f91\u6b64\u9875\u201d\u6309\u94ae\u4e5f\u662f\u53ef\u7528\u7684\uff0c\u4f46\u5b83\u53ea\u4f1a\u5b9a\u5411\u5230en\u7248\u672c\u6587\u7ae0\u7684\u6e90\u7801\uff0c\u5982\u679c\u4f60\u60f3\u4ea7\u51fa\u5176\u4ed6\u8bed\u8a00\u7684\u5185\u5bb9\uff0c\u4f60\u9700\u8981\u4e86\u89e3\u4e00\u4e9bDocusaurus\u7684\u77e5\u8bc6\u3002\\n:::\\n\\n\u6211\u975e\u5e38\u6b22\u8fce\u5408\u4f5c\u8005\u7684\u5230\u6765\uff0c\u6216\u8bb8\u6211\u4eec\u53ef\u4ee5\u5728\u672a\u6765\u6709\u6d3b\u8dc3\u7684issue\u548cdiscussion\u6765\u5e2e\u52a9\u6211\u4eec\u4ea7\u51fa\u66f4\u52a0\u4f18\u79c0\u7684\u5185\u5bb9\u3002"},{"id":"mindmap-in-mdx","metadata":{"permalink":"/full-stack-docusaurus/blog/mindmap-in-mdx","editUrl":"https://github.com/slhmy/full-stack-docusaurus/tree/main/i18n/zh-CN/docusaurus-plugin-content-blog/2023-10-29-mindmap-in-mdx.mdx","source":"@site/i18n/zh-CN/docusaurus-plugin-content-blog/2023-10-29-mindmap-in-mdx.mdx","title":"MDX\u4e2d\u7684\u601d\u7ef4\u5bfc\u56fe","description":"\u7ecf\u8fc7\u4e86\u8fd9\u6b21\u7684\u5c1d\u8bd5\uff0c\u6211\u89c9\u5f97 MDX \u975e\u5e38\u9177\uff0c\u5b83\u8fd1\u4e4e\u65e0\u6240\u4e0d\u80fd\u7684\u3002","date":"2023-10-29T00:00:00.000Z","tags":[{"inline":true,"label":"mdx","permalink":"/full-stack-docusaurus/blog/tags/mdx"},{"inline":true,"label":"\u601d\u7ef4\u5bfc\u56fe","permalink":"/full-stack-docusaurus/blog/tags/\u601d\u7ef4\u5bfc\u56fe"}],"readingTime":1.805,"hasTruncateMarker":false,"authors":[{"name":"slhmy","title":"Stay creative","url":"https://github.com/slhmy","imageURL":"https://github.com/slhmy.png","key":"slhmy","page":null}],"frontMatter":{"slug":"mindmap-in-mdx","title":"MDX\u4e2d\u7684\u601d\u7ef4\u5bfc\u56fe","authors":["slhmy"],"tags":["mdx","\u601d\u7ef4\u5bfc\u56fe"]},"unlisted":false,"prevItem":{"title":"\u6b22\u8fce\ud83d\udc4b","permalink":"/full-stack-docusaurus/blog/weclome"}},"content":"\u7ecf\u8fc7\u4e86\u8fd9\u6b21\u7684\u5c1d\u8bd5\uff0c\u6211\u89c9\u5f97 MDX \u975e\u5e38\u9177\uff0c\u5b83\u8fd1\u4e4e\u65e0\u6240\u4e0d\u80fd\u7684\u3002\\n\u4f60\u53ef\u4ee5\u5728 MDX \u4e2d\u4f7f\u7528\u4efb\u4f55\u4f60\u60f3\u8981\u7684\u4e1c\u897f\uff0c\u8ba9\u6211\u6709\u4e86\u66f4\u591a\u4f7f\u7528\u5b83\u7684\u60f3\u6cd5~\\n\\n\u5148\u6765\u770b\u770b\u6548\u679c\uff1a\\n\\nimport MarkmapRender from \\"/components/MarkmapRender.tsx\\";\\n\\n\\n\\n:::tip\\n\u4f60\u53ef\u4ee5\u5728\\n[\ud83d\udc49 \u8fd9\u91cc](https://github.com/slhmy/full-stack-docusaurus/blob/main/i18n/zh-CN/docusaurus-plugin-content-blog/2023-10-29-mindmap-in-mdx.mdx)\\n\u67e5\u770b\u5230\u672c\u7bc7\u535a\u5ba2\u7684\u6e90\u7801\uff0c\u4ee5\u4fbf\u4e8e\u4f60\u66f4\u597d\u7684\u7406\u89e3\u5b83\u662f\u5982\u4f55\u8fd0\u4f5c\u7684\u3002\\n:::\\n\\n\u4e3a\u4e86\u5b9e\u73b0\u5728 MDX \u4e2d\u4f7f\u7528\u601d\u7ef4\u5bfc\u56fe\uff0c\u6211\u4eec\u9700\u8981\u5f15\u5165\u4e00\u4e2a\u53eb\u505a[Markmap](https://github.com/markmap/markmap)\u7684\u5e93\u3002\\n\u5e76\u4e14\u5c06\u5176\u5c01\u88c5\u6210\u4e00\u4e2a React \u7ec4\u4ef6\uff0c\u4ee5\u4fbf\u4e8e\u5728 MDX \u4e2d\u4f7f\u7528\u3002\\n\\n```tsx\\nimport React, { useEffect } from \\"react\\";\\nimport { Transformer } from \\"markmap-lib\\";\\nconst { Markmap } = require(\\"markmap-view\\");\\n\\nconst transformer = new Transformer();\\n\\nconst MarkmapRender: React.FC<{\\n value?: string;\\n style?: React.CSSProperties;\\n}> = (props) => {\\n const svg = React.useRef();\\n\\n useEffect(() => {\\n const mm = Markmap.create(svg.current);\\n const { root } = transformer.transform(props.value || \\"\\");\\n mm.setData(root);\\n mm.fit();\\n }, [props.value]);\\n\\n return (\\n \\n \\n \\n );\\n};\\n\\nexport default MarkmapRender;\\n```\\n\\n\u8fd9\u662f\u4e00\u4e2a\u76f8\u5bf9\u521d\u7ea7\u4f46\u6709\u8f83\u4e3a\u73b0\u4ee3\u7684\u793a\u4f8b\uff0c\u8f83\u4e3a\u5b8c\u6574\u7684 React \u4f7f\u7528\u6848\u4f8b\u53ef\u4ee5\u53c2\u8003\\n[\ud83d\udc49 \u8fd9\u91cc](https://stackblitz.com/edit/markmap?file=markmap-class.tsx,markmap-hooks.tsx)\u3002\\n\\n> 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b/blog/archive/index.html index be6d784..c6731af 100644 --- a/blog/archive/index.html +++ b/blog/archive/index.html @@ -5,7 +5,7 @@ 历史博文 | Full Stack Docusaurus - + diff --git a/blog/atom.xml b/blog/atom.xml index 48e058e..cfeafe7 100644 --- a/blog/atom.xml +++ b/blog/atom.xml @@ -111,7 +111,7 @@
  • 开发和算法分区是我对基础知识进行梳理的分区,这些内容应当是通用的,你会在考试、面试或者实际开发中遇到它们。
  • 博客更多地会是一些我个人探索和想法,它们会更加有趣。
  • -

    搜索功能是完全可用的,它基于algolia,可以帮助你快速找到想要的内容。 +

    搜索功能是完全可用的,可以帮助你快速找到想要的内容。 这是一个我日常也会使用的功能,所以请放心,我会尽可能的保证它的可用性。

    贡献

    这个知识库是开源的,你可以在GitHub找到源码。

    diff --git a/blog/authors/index.html b/blog/authors/index.html index 7624dae..45314ce 100644 --- a/blog/authors/index.html +++ b/blog/authors/index.html @@ -5,7 +5,7 @@ Authors | Full Stack Docusaurus - + diff --git a/blog/index.html b/blog/index.html index 18a375d..21b9a9b 100644 --- a/blog/index.html +++ b/blog/index.html @@ -5,7 +5,7 @@ 博客 | Full Stack Docusaurus - + @@ -80,7 +80,7 @@

    指南贡献

    这个知识库是开源的,你可以在GitHub找到源码。

    diff --git a/blog/mindmap-in-mdx/index.html b/blog/mindmap-in-mdx/index.html index fc299fa..01daa08 100644 --- a/blog/mindmap-in-mdx/index.html +++ b/blog/mindmap-in-mdx/index.html @@ -5,7 +5,7 @@ MDX中的思维导图 | Full Stack Docusaurus - + diff --git a/blog/rss.xml b/blog/rss.xml index da1ee22..3498e06 100644 --- a/blog/rss.xml +++ b/blog/rss.xml @@ -104,7 +104,7 @@
  • 开发和算法分区是我对基础知识进行梳理的分区,这些内容应当是通用的,你会在考试、面试或者实际开发中遇到它们。
  • 博客更多地会是一些我个人探索和想法,它们会更加有趣。
  • -

    搜索功能是完全可用的,它基于algolia,可以帮助你快速找到想要的内容。 +

    搜索功能是完全可用的,可以帮助你快速找到想要的内容。 这是一个我日常也会使用的功能,所以请放心,我会尽可能的保证它的可用性。

    贡献

    这个知识库是开源的,你可以在GitHub找到源码。

    diff --git a/blog/tags/index.html b/blog/tags/index.html index c505518..78b9d24 100644 --- a/blog/tags/index.html +++ b/blog/tags/index.html @@ -5,7 +5,7 @@ 标签 | Full Stack Docusaurus - + diff --git a/blog/tags/mdx/index.html b/blog/tags/mdx/index.html index 9f40571..4df30fe 100644 --- a/blog/tags/mdx/index.html +++ b/blog/tags/mdx/index.html @@ -5,7 +5,7 @@ 1 篇博文 含有标签「mdx」 | Full Stack Docusaurus - + diff --git "a/blog/tags/\346\200\235\347\273\264\345\257\274\345\233\276/index.html" "b/blog/tags/\346\200\235\347\273\264\345\257\274\345\233\276/index.html" index dc404d3..59d41af 100644 --- "a/blog/tags/\346\200\235\347\273\264\345\257\274\345\233\276/index.html" +++ "b/blog/tags/\346\200\235\347\273\264\345\257\274\345\233\276/index.html" @@ -5,7 +5,7 @@ 1 篇博文 含有标签「思维导图」 | Full Stack Docusaurus - + diff --git "a/blog/tags/\346\200\235\350\200\203/index.html" "b/blog/tags/\346\200\235\350\200\203/index.html" index 7d64ac0..544952f 100644 --- "a/blog/tags/\346\200\235\350\200\203/index.html" +++ "b/blog/tags/\346\200\235\350\200\203/index.html" @@ -5,7 +5,7 @@ 2 篇博文 含有标签「思考」 | Full Stack Docusaurus - + diff --git "a/blog/tags/\346\214\207\345\274\225/index.html" "b/blog/tags/\346\214\207\345\274\225/index.html" index bdaef86..4582882 100644 --- "a/blog/tags/\346\214\207\345\274\225/index.html" +++ "b/blog/tags/\346\214\207\345\274\225/index.html" @@ -5,7 +5,7 @@ 2 篇博文 含有标签「指引」 | Full Stack Docusaurus - + @@ -40,7 +40,7 @@

    指南贡献

    这个知识库是开源的,你可以在GitHub找到源码。

    diff --git a/blog/weclome/index.html b/blog/weclome/index.html index 6d9c41e..8bf47fb 100644 --- a/blog/weclome/index.html +++ b/blog/weclome/index.html @@ -5,7 +5,7 @@ 欢迎👋 | Full Stack Docusaurus - + @@ -24,7 +24,7 @@

    指南贡献

    这个知识库是开源的,你可以在GitHub找到源码。

    diff --git a/docs/algorithms/cpp-basics/precautions/index.html b/docs/algorithms/cpp-basics/precautions/index.html index 4f3e1e6..e67f0ff 100644 --- a/docs/algorithms/cpp-basics/precautions/index.html +++ b/docs/algorithms/cpp-basics/precautions/index.html @@ -5,7 +5,7 @@ 注意事项 | Full Stack Docusaurus - + diff --git a/docs/algorithms/cpp-basics/reference-doc/index.html b/docs/algorithms/cpp-basics/reference-doc/index.html index d176603..83ca7f5 100644 --- a/docs/algorithms/cpp-basics/reference-doc/index.html +++ b/docs/algorithms/cpp-basics/reference-doc/index.html @@ -5,7 +5,7 @@ 参考文档 | Full Stack Docusaurus - + diff --git a/docs/algorithms/cpp-basics/vector-and-array/index.html b/docs/algorithms/cpp-basics/vector-and-array/index.html index 2436b8d..7cacd4b 100644 --- a/docs/algorithms/cpp-basics/vector-and-array/index.html +++ b/docs/algorithms/cpp-basics/vector-and-array/index.html @@ -5,7 +5,7 @@ vector 和 array | Full Stack Docusaurus - + diff --git a/docs/algorithms/data-structures/hashmap/index.html b/docs/algorithms/data-structures/hashmap/index.html index 8e96f8d..4811bc8 100644 --- a/docs/algorithms/data-structures/hashmap/index.html +++ b/docs/algorithms/data-structures/hashmap/index.html @@ -5,7 +5,7 @@ 哈希表 | Full Stack Docusaurus - + diff --git a/docs/algorithms/getting-started/index.html b/docs/algorithms/getting-started/index.html index 208d86a..bec76ec 100644 --- a/docs/algorithms/getting-started/index.html +++ b/docs/algorithms/getting-started/index.html @@ -5,7 +5,7 @@ 准备开始 | Full Stack Docusaurus - + diff --git a/docs/algorithms/problem-solutions/group-anagrams/index.html b/docs/algorithms/problem-solutions/group-anagrams/index.html index 43073d1..72f9ff5 100644 --- a/docs/algorithms/problem-solutions/group-anagrams/index.html +++ b/docs/algorithms/problem-solutions/group-anagrams/index.html @@ -5,7 +5,7 @@ 字母异位词分组 | Full Stack Docusaurus - + diff --git a/docs/algorithms/problem-solutions/move-zeroes/index.html b/docs/algorithms/problem-solutions/move-zeroes/index.html index 8015558..9134e24 100644 --- a/docs/algorithms/problem-solutions/move-zeroes/index.html +++ b/docs/algorithms/problem-solutions/move-zeroes/index.html @@ -5,7 +5,7 @@ 移动零 | Full Stack Docusaurus - + diff --git a/docs/algorithms/python-basics/official-doc/index.html b/docs/algorithms/python-basics/official-doc/index.html index a7c8c08..4536c65 100644 --- a/docs/algorithms/python-basics/official-doc/index.html +++ b/docs/algorithms/python-basics/official-doc/index.html @@ -5,7 +5,7 @@ 官方文档 | Full Stack Docusaurus - + diff --git a/docs/algorithms/python-basics/useful-functions/index.html b/docs/algorithms/python-basics/useful-functions/index.html index db4a513..76f69d4 100644 --- a/docs/algorithms/python-basics/useful-functions/index.html +++ b/docs/algorithms/python-basics/useful-functions/index.html @@ -5,7 +5,7 @@ 有用的函数 | Full Stack Docusaurus - + diff --git a/docs/algorithms/python-basics/view-of-syntactic-sugar/index.html b/docs/algorithms/python-basics/view-of-syntactic-sugar/index.html index 08b938a..9c30456 100644 --- a/docs/algorithms/python-basics/view-of-syntactic-sugar/index.html +++ b/docs/algorithms/python-basics/view-of-syntactic-sugar/index.html @@ -5,7 +5,7 @@ 语法糖速览 | Full Stack Docusaurus - + diff --git a/docs/algorithms/python-basics/why-python/index.html b/docs/algorithms/python-basics/why-python/index.html index 4bc02c1..9ae683d 100644 --- a/docs/algorithms/python-basics/why-python/index.html +++ b/docs/algorithms/python-basics/why-python/index.html @@ -5,7 +5,7 @@ 为什么是Python? | Full Stack Docusaurus - + diff --git a/docs/category/cpp---basics/index.html b/docs/category/cpp---basics/index.html index faf6f20..34f81b6 100644 --- a/docs/category/cpp---basics/index.html +++ b/docs/category/cpp---basics/index.html @@ -5,7 +5,7 @@ Cpp - 基础 | Full Stack Docusaurus - + diff --git a/docs/category/data-structures/index.html b/docs/category/data-structures/index.html index 90b1eff..74808c6 100644 --- a/docs/category/data-structures/index.html +++ b/docs/category/data-structures/index.html @@ -5,7 +5,7 @@ 数据结构 | Full Stack Docusaurus - + diff --git a/docs/category/problem-solutions/index.html b/docs/category/problem-solutions/index.html index d00a3c2..ff76de7 100644 --- a/docs/category/problem-solutions/index.html +++ b/docs/category/problem-solutions/index.html @@ -5,7 +5,7 @@ 例题讲解 | Full Stack Docusaurus - + diff --git a/docs/category/python---basics/index.html b/docs/category/python---basics/index.html index 5ae9cd0..d2b113a 100644 --- a/docs/category/python---basics/index.html +++ b/docs/category/python---basics/index.html @@ -5,7 +5,7 @@ Python - 基础 | Full Stack Docusaurus - + diff --git a/docs/category/redis-knowledge/index.html b/docs/category/redis-knowledge/index.html index f921d0d..d727f53 100644 --- a/docs/category/redis-knowledge/index.html +++ b/docs/category/redis-knowledge/index.html @@ -5,7 +5,7 @@ Redis学习 | Full Stack Docusaurus - + diff --git a/docs/development/getting-started/index.html b/docs/development/getting-started/index.html index 6c8acb8..f9f1fce 100644 --- a/docs/development/getting-started/index.html +++ b/docs/development/getting-started/index.html @@ -5,7 +5,7 @@ 准备开始 | Full Stack Docusaurus - + diff --git a/docs/development/redis-knowledge/outline/index.html b/docs/development/redis-knowledge/outline/index.html index 0fda58d..97c98ca 100644 --- a/docs/development/redis-knowledge/outline/index.html +++ b/docs/development/redis-knowledge/outline/index.html @@ -5,7 +5,7 @@ 大纲 | Full Stack Docusaurus - + diff --git a/docs/tags/index.html b/docs/tags/index.html index 0fe8679..02b29c5 100644 --- a/docs/tags/index.html +++ b/docs/tags/index.html @@ -5,7 +5,7 @@ 标签 | Full Stack Docusaurus - + diff --git "a/docs/tags/\345\212\233\346\211\243/index.html" "b/docs/tags/\345\212\233\346\211\243/index.html" index b3b9242..5f3b710 100644 --- "a/docs/tags/\345\212\233\346\211\243/index.html" +++ "b/docs/tags/\345\212\233\346\211\243/index.html" @@ -5,7 +5,7 @@ 2 篇文档带有标签「力扣」 | Full Stack Docusaurus - + diff --git "a/docs/tags/\345\223\210\345\270\214\350\241\250/index.html" "b/docs/tags/\345\223\210\345\270\214\350\241\250/index.html" index 6927b2b..1ed8637 100644 --- "a/docs/tags/\345\223\210\345\270\214\350\241\250/index.html" +++ "b/docs/tags/\345\223\210\345\270\214\350\241\250/index.html" @@ -5,7 +5,7 @@ 2 篇文档带有标签「哈希表」 | Full Stack Docusaurus - + diff --git "a/docs/tags/\345\255\227\347\254\246\344\270\262/index.html" "b/docs/tags/\345\255\227\347\254\246\344\270\262/index.html" index 0d3ce0d..a9a65e5 100644 --- "a/docs/tags/\345\255\227\347\254\246\344\270\262/index.html" +++ "b/docs/tags/\345\255\227\347\254\246\344\270\262/index.html" @@ -5,7 +5,7 @@ 1 篇文档带有标签「字符串」 | Full Stack Docusaurus - + diff --git "a/docs/tags/\346\225\260\346\215\256\347\273\223\346\236\204/index.html" "b/docs/tags/\346\225\260\346\215\256\347\273\223\346\236\204/index.html" index 2103be2..140e2e0 100644 --- "a/docs/tags/\346\225\260\346\215\256\347\273\223\346\236\204/index.html" +++ "b/docs/tags/\346\225\260\346\215\256\347\273\223\346\236\204/index.html" @@ -5,7 +5,7 @@ 1 篇文档带有标签「数据结构」 | Full Stack Docusaurus - + diff --git a/en/search-index.json b/en/search-index.json index 4777b36..68b11f6 100644 --- a/en/search-index.json +++ b/en/search-index.json @@ -1 +1 @@ -[{"documents":[{"i":84,"t":"","u":"/full-stack-docusaurus/en/blog/archive","b":["Blog"]},{"i":85,"t":"","u":"/full-stack-docusaurus/en/blog/authors","b":["Blog"]},{"i":86,"t":"Welcome","u":"/full-stack-docusaurus/en/blog/weclome","b":["Blog"]},{"i":87,"t":"Mindmap in MDX","u":"/full-stack-docusaurus/en/blog/mindmap-in-mdx","b":["Blog"]},{"i":88,"t":"Reference Doc","u":"/full-stack-docusaurus/en/docs/algorithms/cpp-basics/reference-doc","b":["Algorithms","Cpp - 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当你有很多想要阅读,但又散布在各种不同地方的网页时,Cubox能带来更加统一的阅读体验","s":"Cubox","u":"/full-stack-docusaurus/blog/2023/12/24/about-note-tools","h":"#cubox","p":1},{"i":11,"t":"日记,有Mac和手机App和网页端,分类标签等功能比较齐全(比苹果那个手记要强多了,暂时),再专业的软件也不能完美地消化生活中的点点滴滴,Day One更多是为了我的那些闲言碎语。","s":"Day One","u":"/full-stack-docusaurus/blog/2023/12/24/about-note-tools","h":"#day-one","p":1},{"i":13,"t":"笔记界的VSCode,也是我最后确定下来的一款工具,用来配合我进行Git知识库的编辑。 主要的出发点是解决Git知识库没法在手机/Pad端快速编辑的问题,毕竟有相当一段使时间里,你只需要关注要写什么,而不是怎么管理你的Git仓库。 需要iCloud来实现较好的跨端编辑体验,我个人的用法是配合Git插件(复杂情况还是会用纯Git处理),最终把内容更新到配有Action自动化部署的仓库里。遗憾是是没有网页端,起码需要带一个Pad来当主力设备。 总的来说,未来可期吧,但对于非程序来说,Obsidian还是有些太不友好了,尤其是社区的各种同步插件任然还是没法保证稳定性的,并且很多插件对于Vault来说都是有入侵性的,中途变更插件会非常麻烦。","s":"Obsidian","u":"/full-stack-docusaurus/blog/2023/12/24/about-note-tools","h":"#obsidian","p":1},{"i":15,"t":"功能齐全的老派选手,不是非常适合Markdown,但排版比较灵活对Apple Pencil的智能手写支持是最好的,偏手写的同志依然需要选择OneNote。","s":"OneNote","u":"/full-stack-docusaurus/blog/2023/12/24/about-note-tools","h":"#onenote","p":1},{"i":17,"t":"受前公司的影响,我在之前一直都是一名忠实的语雀用户,语雀在各方面其实也算是能用的, 但今年的P0级事故着实有些伤人了,而且语雀的产品形态也不是特别明朗,不支持Tag搜索等问题,对于想重度构建并且时不时回顾内容的人来说是存在短板的。 总的来说,对于刚接触笔记工具的人,我还是首先推荐Notion和OneNote,它们的上手成本较低,功能又非常齐全。进阶选手可以尝试折腾下Obsidian,但它和Notion实际上是个互补的关系,Obsidian更偏向于离线撰写。","s":"结语&碎碎念","u":"/full-stack-docusaurus/blog/2023/12/24/about-note-tools","h":"#结语碎碎念","p":1},{"i":19,"t":"在此之前,我也使用过很多其他的静态网站生成器, 比如 Hugo、Hexo 以及 mdBook 等等。 这些都是非常优秀的工具,但 Docuasurus 自由度和功能的完善程度都是我所见过的最好的,它让我感觉到内容能被更好的组织和展示。 不过强大的自由度带来的是配置的复杂性,虽然 Docusaurus 官方提供了完善的文档,但是我还是花了很多时间来熟悉它的工作方式。 我认为从 Docusaurus 的启动项目开始,到最终真正的工作流的建立,依旧有很多内容值得记录。 这就是这篇博客存在的原因。","s":"我是如何使用 Docusaurus 的","u":"/full-stack-docusaurus/blog/2023/12/02/how-i-work-with-docusaurus","h":"","p":18},{"i":21,"t":"我对于项目的国际化是有执念的,尽管我在这个仓库中基本只使用中文,但是我还是希望能够为未来的合作者提供更多的可能性。 随着 i18n 的引入,创建和编辑文档的动作变得更加的复杂。 你可能会发现 “编辑此页” 按钮只会定向到英文版本的源码,那是因为你忽略了一项配置导致的。 editLocalizedFiles 配置项默认是 false,你需要将它设置为 true 才能够在其他语言的文档中使用 “编辑此页” 按钮。 提示 你可能需要在 Docuasurus 的 官方网站 中查看更多的内容, 或者你可以搜索 edit url 以获取更多的信息(注意是 edit url,不是 editurl,这会影响搜索的结果)。 我当时就因为搜索问题甚至去 Discord 询问了 Docuasurus 的开发者,最后发现是这样一个小差异导致的。","s":"关于 i18n","u":"/full-stack-docusaurus/blog/2023/12/02/how-i-work-with-docusaurus","h":"#关于-i18n","p":18},{"i":23,"t":"Docuasurus 官方提供了 Algolia 的集成,这是一个非常好的功能,并且一开始是免费的。 但配置起来需要一些时间,尽管 Docuasurus 和 Algolia 都彼此提供了完善的文档,但是我还是花了很多时间来熟悉它们的工作方式。","s":"关于 Algolia","u":"/full-stack-docusaurus/blog/2023/12/02/how-i-work-with-docusaurus","h":"#关于-algolia","p":18},{"i":27,"t":"经过了这次的尝试,我觉得 MDX 非常酷,它近乎无所不能的。 你可以在 MDX 中使用任何你想要的东西,让我有了更多使用它的想法~ 先来看看效果: 提示 你可以在 👉 这里 查看到本篇博客的源码,以便于你更好的理解它是如何运作的。 为了实现在 MDX 中使用思维导图,我们需要引入一个叫做Markmap的库。 并且将其封装成一个 React 组件,以便于在 MDX 中使用。 import React, { useEffect } from \"react\"; import { Transformer } from \"markmap-lib\"; const { Markmap } = require(\"markmap-view\"); const transformer = new Transformer(); const MarkmapRender: React.FC<{ value?: string; style?: React.CSSProperties; }> = (props) => { const svg = React.useRef(); useEffect(() => { const mm = Markmap.create(svg.current); const { root } = transformer.transform(props.value || \"\"); mm.setData(root); mm.fit(); }, [props.value]); return ( ); }; export default MarkmapRender; 这是一个相对初级但有较为现代的示例,较为完整的 React 使用案例可以参考 👉 这里。 在我的例子中,优点是我避免使用了老式的 React 组件声明方式 由于文档的不完善和组件模块导出的一些问题,你可能会遇到一些编辑器报错,但它们并不是致命的,你可以忽略它们。","s":"MDX中的思维导图","u":"/full-stack-docusaurus/blog/mindmap-in-mdx","h":"","p":26},{"i":29,"t":"一些很容忽略的细节,可能会引起误解的地方。","s":"注意事项","u":"/full-stack-docusaurus/docs/algorithms/cpp-basics/precautions","h":"","p":28},{"i":31,"t":"在 C++ 17往后的版本中,你可以使用 if (init; condition) 来在进行条件判断的同时初始化变量。 但你并不能在 while 中这么做,比较好理解的解释依旧是将其和 for 循环进行比较, for 循环中的 init 部分只会在循环开始时执行一次。","s":"不能在 while 中使用 (init; condition) 的句式","u":"/full-stack-docusaurus/docs/algorithms/cpp-basics/precautions","h":"#不能在-while-中使用-init-condition-的句式","p":28},{"i":33,"t":"我个人更经常使用的是 devdocs.io - cpp 它实际上是个聚合站点,包含了很多语言的文档,包括 C++,当中的内容是由 cppreference.com 提供的。","s":"参考文档","u":"/full-stack-docusaurus/docs/algorithms/cpp-basics/reference-doc","h":"","p":32},{"i":35,"t":"提示 这里是对“全栈开发知识库”的一些说明,帮助你更快的了解到你想要的内容。","s":"欢迎👋","u":"/full-stack-docusaurus/blog/weclome","h":"","p":34},{"i":37,"t":"我在学生时代时常常被类似的问题困扰:不清楚该如何利用编程来解决遇到的问题、实现想要的功能。 学习的基础知识很多,但是在实际的应用中,却不知道如何使用。 我总是希望能够了解事物的全貌,而不是只知道其中的一部分。 也因此,在几年前开始寻找工作时,就已经考虑过是否可以成为一名全栈开发者。 如你所见,我现在建立了这个知识库,说明我已经有了一定的信心和能力。 “全栈”是一个无限宽广的领域,不过幸运的是,我们进入了一个崭新的时代,在AI和现代化的工具链中,我们可以更快的学习和实践。 我希望这个知识库可以帮助到你,我们一起从最通用的部分开始,最终学会如何在自己喜欢的领域中前进。","s":"前言","u":"/full-stack-docusaurus/blog/weclome","h":"#前言","p":34},{"i":39,"t":"“全栈开发知识库”主要有三个分区:开发、算法、博客(Docusaurus是框架提供的建站指引,我只是还想暂时留着它)。 开发和算法分区是我对基础知识进行梳理的分区,这些内容应当是通用的,你会在考试、面试或者实际开发中遇到它们。 博客更多地会是一些我个人探索和想法,它们会更加有趣。 搜索功能是完全可用的,它基于algolia,可以帮助你快速找到想要的内容。 这是一个我日常也会使用的功能,所以请放心,我会尽可能的保证它的可用性。","s":"指南","u":"/full-stack-docusaurus/blog/weclome","h":"#指南","p":34},{"i":41,"t":"这个知识库是开源的,你可以在GitHub找到源码。 备注 “编辑此页”按钮也是可用的,但它只会定向到en版本文章的源码,如果你想产出其他语言的内容,你需要了解一些Docusaurus的知识。 我非常欢迎合作者的到来,或许我们可以在未来有活跃的issue和discussion来帮助我们产出更加优秀的内容。","s":"贡献","u":"/full-stack-docusaurus/blog/weclome","h":"#贡献","p":34},{"i":43,"t":"利用下标访问元素的数据结构,其下标可以是任意类型,通常是整数或字符串。 提示 由于下标指代了元素的内存地址,因此可以在 O(1) 的时间复杂度内完成访问操作。 通常来说如何构建哈希函数是哈希表的关键。 💡 哈希表在某些情况下也可以消除元素中的一些不需要的信息 (可以参考 字母异位词分组) 。","s":"哈希表","u":"/full-stack-docusaurus/docs/algorithms/data-structures/hashmap","h":"","p":42},{"i":45,"t":"警告 在 C++ 中,你应该尽量使用 std::vector 和 std::array,而不是 C 风格的数组。原因是 C 风格的数组没有提供任何安全保障,没有越界检查,尽管在算法题中我们经常会用下标访问数组元素(std::vector 和 std::array 中正规的做法是使用 at(idx) 方法)。","s":"vector 和 array","u":"/full-stack-docusaurus/docs/algorithms/cpp-basics/vector-and-array","h":"","p":44},{"i":47,"t":"std::vector 存储在堆上,std::array 存储在栈上。 因此,当你需要一个动态大小的数组时,你应该使用 std::vector,而当你只需要一个固定大小的数组时,使用 std::array 会更好,它拥有更好的性能。","s":"vector 和 array 的区别","u":"/full-stack-docusaurus/docs/algorithms/cpp-basics/vector-and-array","h":"#vector-和-array-的区别","p":44},{"i":49,"t":"// 初始化一个大小为 10 的 vector,所有元素的值都是 0 std::vector v1(10); // 初始化一个大小为 10 的 vector,所有元素的值都是 1 std::vector v2(10, 1); // 初始化一个大小为 10 的 array,所有元素的值都是 0 std::array a1; // 通过一个已有的 array 初始化另一个 array std::array a3 = a2; // 通过一个已有的 vector 初始化另一个 vector std::vector v3 = v2; 同时 std::array 还支持通过 fill(n) 方法填充数组。","s":"vector 和 array 的初始化","u":"/full-stack-docusaurus/docs/algorithms/cpp-basics/vector-and-array","h":"#vector-和-array-的初始化","p":44},{"i":51,"t":"// 在末尾插入一个元素 v.push_back(1); v.emplace_back(1); // 在末尾删除一个元素 v.pop_back(); // 在指定位置插入一个元素 v.insert(v.begin() + 1, 2); // 在指定位置删除一个元素 v.erase(v.begin() + 1); // 在指定位置插入另一组vector v.insert(v.begin() + 1, v2.begin(), v2.end()); auto rg = std::list{1, 2, 3}; v.insert_range(v.begin() + 1, rg);","s":"vector 的插入和删除","u":"/full-stack-docusaurus/docs/algorithms/cpp-basics/vector-and-array","h":"#vector-的插入和删除","p":44},{"i":53,"t":"我之所以开始写这部分的内容, 是因为每隔一段时间当我重新需要做算法题时,我并非完全遗忘了如何去做, 而是常常无从下手。 并且我常常会忘记很多东西,不仅仅是算法,还有语法中的各种细节。 归根结底,是因为还没能形成系统的知识体系。 提示 知识体系的意思并不是说你需要完全记住它,而是在你需要的时候,可以通过一些方法快速的找到它。 我希望达到的一个效果是,当你我需要再次接触算法题时 (不论是什么原因,面试、考试、或者是为了锻炼自己的思维能力), 你可以通过这里的内容快速的回忆起来。 一天?一周?一个月?我不知道,但是我希望这个过程可以尽可能的快。","s":"准备开始","u":"/full-stack-docusaurus/docs/algorithms/getting-started","h":"","p":52},{"i":55,"t":"原题链接","s":"字母异位词分组","u":"/full-stack-docusaurus/docs/algorithms/problem-solutions/group-anagrams","h":"","p":54},{"i":57,"t":"关键在于,我们该如何描述一个字符串是另一个字符串的字母异位词, 这个动作实际上是在压缩字符串的信息,我们可以通过排序来实现这个动作, 很明显我们并不需要这些字符串中的顺序信息。 group-anagrams.py class Solution: def groupAnagrams(self, strs: List[str]) -> List[List[str]]: d = {} for s in strs: key = \"\".join(sorted(s)) # It's working faster than `tuple(sorted(s))` d[key] = d.get(key, []) + [s] return list(d.values())","s":"题解","u":"/full-stack-docusaurus/docs/algorithms/problem-solutions/group-anagrams","h":"#题解","p":54},{"i":59,"t":"提示 我的意思是,通常来说官方文档不会是你学习一门语言的第一步,但是它们是你学习一门语言的最后一步。 它们是你在学习一门语言时的最佳参考资料。 你可以访问 Python3 文档 查看详情,这个链接应该会自动定向到最新的 Python 版本。","s":"官方文档","u":"/full-stack-docusaurus/docs/algorithms/python-basics/official-doc","h":"","p":58},{"i":61,"t":"原题链接","s":"移动零","u":"/full-stack-docusaurus/docs/algorithms/problem-solutions/move-zeroes","h":"","p":60},{"i":63,"t":"先来看官方的题解: move-zeroes.official.py class Solution: def moveZeroes(self, nums: List[int]) -> None: n = len(nums) left = right = 0 while right < n: if nums[right] != 0: nums[left], nums[right] = nums[right], nums[left] left += 1 right += 1 备注 我得说我并不喜欢这个解法,并且官方的解释非常难懂,我花了很久才明白它的真正意思。 在这个解法中,通俗的说法是: 所有非零元素会被进行一次交换,交换到其应该在的位置上。 但如果它们本来就在正确的位置上,那么这次交换实际上是没有意义的。","s":"题解","u":"/full-stack-docusaurus/docs/algorithms/problem-solutions/move-zeroes","h":"#题解","p":60},{"i":65,"t":"move-zeroes.py class Solution: def moveZeroes(self, nums: List[int]) -> None: n = len(nums) p = 0; q = 1 while p < n and q < n: if not nums[p] == 0: p += 1; continue if q < p + 1: q = p + 1 while q < n: if nums[q] == 0: q += 1; continue nums[p], nums[q] = nums[q], nums[p] break p += 1 再这个解答中,相反地,我们优先找到0元素,然后再找到非零元素,进行交换。 并且由于0元素只会向后交换,所以我们可以在找到非零元素后,快速移动一次非零元素指针。 这个解法更加符合读题的直觉,并且拥有更好的性能。","s":"我的解答","u":"/full-stack-docusaurus/docs/algorithms/problem-solutions/move-zeroes","h":"#我的解答","p":60},{"i":67,"t":"一些眼前一亮的语法糖。","s":"语法糖速览","u":"/full-stack-docusaurus/docs/algorithms/python-basics/view-of-syntactic-sugar","h":"","p":66},{"i":69,"t":"a, b = b, a","s":"交换两数","u":"/full-stack-docusaurus/docs/algorithms/python-basics/view-of-syntactic-sugar","h":"#交换两数","p":66},{"i":71,"t":"a = 1 if x > 0 else -1","s":"三目运算","u":"/full-stack-docusaurus/docs/algorithms/python-basics/view-of-syntactic-sugar","h":"#三目运算","p":66},{"i":73,"t":"a = 1; b = 2","s":"行内多语句","u":"/full-stack-docusaurus/docs/algorithms/python-basics/view-of-syntactic-sugar","h":"#行内多语句","p":66},{"i":76,"t":"备注 我在学生时代时,并没有很好地理解Python,但现在我发现它在某些场景下确实有着过人之处。 编程语言有很多,在编写真实世界的系统时,我希望我的语言拥有高度完备的语法特性和安全检查 通常来说,我们总是在很简单的地方出错,真实的系统在串行的逻辑方面其实不如编写算法那么复杂。 而在算法中,我们会更多地依赖各种各样的数据结构,而不是语言本身的特性。 有的语言,例如Golang,它的常用数据结构封装的非常简单,这也导致了在算法中,我们需要自己实现很多数据结构。 而Python则不一样,你可以非常灵活地操控各种数据结构,并且它支持交互式编程,操作起来会更加简单。 编写Python更接近于说话, 老实说,把 ! 替换成 not; && 替换成 and; || 替换成 or,对我并没有什么吸引力,但可能确实更适合新手入门。","s":"为什么是Python?","u":"/full-stack-docusaurus/docs/algorithms/python-basics/why-python","h":"","p":75},{"i":79,"t":"在算法题目当中,其实是有一些常用函数的,尽管它们在开发当中很少使用。 所以我认为罗列它们并提供查询手段是有必要的。","s":"有用的函数","u":"/full-stack-docusaurus/docs/algorithms/python-basics/useful-functions","h":"","p":78},{"i":81,"t":"ord 字符转换为Integer Unicode码 chr Integer Unicode码转换为字符","s":"Unicode转换 ord 和 chr","u":"/full-stack-docusaurus/docs/algorithms/python-basics/useful-functions","h":"#unicode转换-ord-和-chr","p":78},{"i":83,"t":"sorted 排序,返回一个新的列表 ℹ️ 值得一提的是 sorted(str) 会返回一个列表,而不是字符串。","s":"排序 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比如 Hugo、Hexo 以及 mdBook 等等。 这些都是非常优秀的工具,但 Docuasurus 自由度和功能的完善程度都是我所见过的最好的,它让我感觉到内容能被更好的组织和展示。 不过强大的自由度带来的是配置的复杂性,虽然 Docusaurus 官方提供了完善的文档,但是我还是花了很多时间来熟悉它的工作方式。 我认为从 Docusaurus 的启动项目开始,到最终真正的工作流的建立,依旧有很多内容值得记录。 这就是这篇博客存在的原因。","s":"我是如何使用 Docusaurus 的","u":"/full-stack-docusaurus/blog/2023/12/02/how-i-work-with-docusaurus","h":"","p":1},{"i":4,"t":"我对于项目的国际化是有执念的,尽管我在这个仓库中基本只使用中文,但是我还是希望能够为未来的合作者提供更多的可能性。 随着 i18n 的引入,创建和编辑文档的动作变得更加的复杂。 你可能会发现 “编辑此页” 按钮只会定向到英文版本的源码,那是因为你忽略了一项配置导致的。 editLocalizedFiles 配置项默认是 false,你需要将它设置为 true 才能够在其他语言的文档中使用 “编辑此页” 按钮。 提示 你可能需要在 Docuasurus 的 官方网站 中查看更多的内容, 或者你可以搜索 edit url 以获取更多的信息(注意是 edit url,不是 editurl,这会影响搜索的结果)。 我当时就因为搜索问题甚至去 Discord 询问了 Docuasurus 的开发者,最后发现是这样一个小差异导致的。","s":"关于 i18n","u":"/full-stack-docusaurus/blog/2023/12/02/how-i-work-with-docusaurus","h":"#关于-i18n","p":1},{"i":6,"t":"Docuasurus 官方提供了 Algolia 的集成,这是一个非常好的功能,并且一开始是免费的。 但配置起来需要一些时间,尽管 Docuasurus 和 Algolia 都彼此提供了完善的文档,但是我还是花了很多时间来熟悉它们的工作方式。","s":"关于 Algolia","u":"/full-stack-docusaurus/blog/2023/12/02/how-i-work-with-docusaurus","h":"#关于-algolia","p":1},{"i":8,"t":"本着要干活装备一定要最好的原则,我也不知道是过了多长时间,姑且算是花了两个月吧, 一有时间停下来,我想的最多就是有什么笔记工具可以使用。 而今天,我打算为这个思考画上一个句号了。 因为这个选择的过程太花时间了,所以我想先通过这篇文章来给出我的答案,说不定可以为你节省时间。","s":"关于笔记工具","u":"/full-stack-docusaurus/blog/2023/12/24/about-note-tools","h":"","p":7},{"i":10,"t":"其实临近2024,市面上已经有非常充足的笔记工具可以选择了,但很多“其中之一”总是让我感觉并不“完美”,你很难说它的问题到底在哪。总的来说我选择笔记工具主要考虑的有这几点: 多端互通,可复制/可低成本迁移 我希望在有灵感的时候随时能访问到我的笔记,以便我快速地编辑它们 同时我也会担心服务故障带来的不确定因素,所以备份也是需要考虑的 链接体系,数据组织 Tag在某些情况下还是非常重要的 丰富的数据织在某种程度上是和可迁移性冲突的,所以我会偏向使用一些开源的工具,比如用Mermaid来画脑图","s":"关键点","u":"/full-stack-docusaurus/blog/2023/12/24/about-note-tools","h":"#关键点","p":7},{"i":13,"t":"高度集成的知识库工具,在成品当中接近无敌的存在, 同时支持多人协同 / 页面发布管理,又有丰富的内容块和模板可以使用,Wiki支持Tag。 缺点是不能完美导出到其它地方,不过可以后续借助文本处理工具进行转换。","s":"Notion","u":"/full-stack-docusaurus/blog/2023/12/24/about-note-tools","h":"#notion","p":7},{"i":15,"t":"小记、灵感收集器,有API/ 有网页转换 / 有标注 / 有AI接口 / 有浏览器插件,虽然有的功能相对玩具,并且需要氪金,但胜在没有同类竞品。 当你有很多想要阅读,但又散布在各种不同地方的网页时,Cubox能带来更加统一的阅读体验","s":"Cubox","u":"/full-stack-docusaurus/blog/2023/12/24/about-note-tools","h":"#cubox","p":7},{"i":17,"t":"日记,有Mac和手机App和网页端,分类标签等功能比较齐全(比苹果那个手记要强多了,暂时),再专业的软件也不能完美地消化生活中的点点滴滴,Day One更多是为了我的那些闲言碎语。","s":"Day One","u":"/full-stack-docusaurus/blog/2023/12/24/about-note-tools","h":"#day-one","p":7},{"i":19,"t":"笔记界的VSCode,也是我最后确定下来的一款工具,用来配合我进行Git知识库的编辑。 主要的出发点是解决Git知识库没法在手机/Pad端快速编辑的问题,毕竟有相当一段使时间里,你只需要关注要写什么,而不是怎么管理你的Git仓库。 需要iCloud来实现较好的跨端编辑体验,我个人的用法是配合Git插件(复杂情况还是会用纯Git处理),最终把内容更新到配有Action自动化部署的仓库里。遗憾是是没有网页端,起码需要带一个Pad来当主力设备。 总的来说,未来可期吧,但对于非程序来说,Obsidian还是有些太不友好了,尤其是社区的各种同步插件任然还是没法保证稳定性的,并且很多插件对于Vault来说都是有入侵性的,中途变更插件会非常麻烦。","s":"Obsidian","u":"/full-stack-docusaurus/blog/2023/12/24/about-note-tools","h":"#obsidian","p":7},{"i":21,"t":"功能齐全的老派选手,不是非常适合Markdown,但排版比较灵活对Apple Pencil的智能手写支持是最好的,偏手写的同志依然需要选择OneNote。","s":"OneNote","u":"/full-stack-docusaurus/blog/2023/12/24/about-note-tools","h":"#onenote","p":7},{"i":23,"t":"受前公司的影响,我在之前一直都是一名忠实的语雀用户,语雀在各方面其实也算是能用的, 但今年的P0级事故着实有些伤人了,而且语雀的产品形态也不是特别明朗,不支持Tag搜索等问题,对于想重度构建并且时不时回顾内容的人来说是存在短板的。 总的来说,对于刚接触笔记工具的人,我还是首先推荐Notion和OneNote,它们的上手成本较低,功能又非常齐全。进阶选手可以尝试折腾下Obsidian,但它和Notion实际上是个互补的关系,Obsidian更偏向于离线撰写。","s":"结语&碎碎念","u":"/full-stack-docusaurus/blog/2023/12/24/about-note-tools","h":"#结语碎碎念","p":7},{"i":27,"t":"经过了这次的尝试,我觉得 MDX 非常酷,它近乎无所不能的。 你可以在 MDX 中使用任何你想要的东西,让我有了更多使用它的想法~ 先来看看效果: 提示 你可以在 👉 这里 查看到本篇博客的源码,以便于你更好的理解它是如何运作的。 为了实现在 MDX 中使用思维导图,我们需要引入一个叫做Markmap的库。 并且将其封装成一个 React 组件,以便于在 MDX 中使用。 import React, { useEffect } from \"react\"; import { Transformer } from \"markmap-lib\"; const { Markmap } = require(\"markmap-view\"); const transformer = new Transformer(); const MarkmapRender: React.FC<{ value?: string; style?: React.CSSProperties; }> = (props) => { const svg = React.useRef(); useEffect(() => { const mm = Markmap.create(svg.current); const { root } = transformer.transform(props.value || \"\"); mm.setData(root); mm.fit(); }, [props.value]); return ( ); }; export default MarkmapRender; 这是一个相对初级但有较为现代的示例,较为完整的 React 使用案例可以参考 👉 这里。 在我的例子中,优点是我避免使用了老式的 React 组件声明方式 由于文档的不完善和组件模块导出的一些问题,你可能会遇到一些编辑器报错,但它们并不是致命的,你可以忽略它们。","s":"MDX中的思维导图","u":"/full-stack-docusaurus/blog/mindmap-in-mdx","h":"","p":26},{"i":29,"t":"提示 这里是对“全栈开发知识库”的一些说明,帮助你更快的了解到你想要的内容。","s":"欢迎👋","u":"/full-stack-docusaurus/blog/weclome","h":"","p":28},{"i":31,"t":"我在学生时代时常常被类似的问题困扰:不清楚该如何利用编程来解决遇到的问题、实现想要的功能。 学习的基础知识很多,但是在实际的应用中,却不知道如何使用。 我总是希望能够了解事物的全貌,而不是只知道其中的一部分。 也因此,在几年前开始寻找工作时,就已经考虑过是否可以成为一名全栈开发者。 如你所见,我现在建立了这个知识库,说明我已经有了一定的信心和能力。 “全栈”是一个无限宽广的领域,不过幸运的是,我们进入了一个崭新的时代,在AI和现代化的工具链中,我们可以更快的学习和实践。 我希望这个知识库可以帮助到你,我们一起从最通用的部分开始,最终学会如何在自己喜欢的领域中前进。","s":"前言","u":"/full-stack-docusaurus/blog/weclome","h":"#前言","p":28},{"i":33,"t":"“全栈开发知识库”主要有三个分区:开发、算法、博客(Docusaurus是框架提供的建站指引,我只是还想暂时留着它)。 开发和算法分区是我对基础知识进行梳理的分区,这些内容应当是通用的,你会在考试、面试或者实际开发中遇到它们。 博客更多地会是一些我个人探索和想法,它们会更加有趣。 搜索功能是完全可用的,可以帮助你快速找到想要的内容。 这是一个我日常也会使用的功能,所以请放心,我会尽可能的保证它的可用性。","s":"指南","u":"/full-stack-docusaurus/blog/weclome","h":"#指南","p":28},{"i":35,"t":"这个知识库是开源的,你可以在GitHub找到源码。 备注 “编辑此页”按钮也是可用的,但它只会定向到en版本文章的源码,如果你想产出其他语言的内容,你需要了解一些Docusaurus的知识。 我非常欢迎合作者的到来,或许我们可以在未来有活跃的issue和discussion来帮助我们产出更加优秀的内容。","s":"贡献","u":"/full-stack-docusaurus/blog/weclome","h":"#贡献","p":28},{"i":37,"t":"我个人更经常使用的是 devdocs.io - cpp 它实际上是个聚合站点,包含了很多语言的文档,包括 C++,当中的内容是由 cppreference.com 提供的。","s":"参考文档","u":"/full-stack-docusaurus/docs/algorithms/cpp-basics/reference-doc","h":"","p":36},{"i":39,"t":"警告 在 C++ 中,你应该尽量使用 std::vector 和 std::array,而不是 C 风格的数组。原因是 C 风格的数组没有提供任何安全保障,没有越界检查,尽管在算法题中我们经常会用下标访问数组元素(std::vector 和 std::array 中正规的做法是使用 at(idx) 方法)。","s":"vector 和 array","u":"/full-stack-docusaurus/docs/algorithms/cpp-basics/vector-and-array","h":"","p":38},{"i":41,"t":"std::vector 存储在堆上,std::array 存储在栈上。 因此,当你需要一个动态大小的数组时,你应该使用 std::vector,而当你只需要一个固定大小的数组时,使用 std::array 会更好,它拥有更好的性能。","s":"vector 和 array 的区别","u":"/full-stack-docusaurus/docs/algorithms/cpp-basics/vector-and-array","h":"#vector-和-array-的区别","p":38},{"i":43,"t":"// 初始化一个大小为 10 的 vector,所有元素的值都是 0 std::vector v1(10); // 初始化一个大小为 10 的 vector,所有元素的值都是 1 std::vector v2(10, 1); // 初始化一个大小为 10 的 array,所有元素的值都是 0 std::array a1; // 通过一个已有的 array 初始化另一个 array std::array a3 = a2; // 通过一个已有的 vector 初始化另一个 vector std::vector v3 = v2; 同时 std::array 还支持通过 fill(n) 方法填充数组。","s":"vector 和 array 的初始化","u":"/full-stack-docusaurus/docs/algorithms/cpp-basics/vector-and-array","h":"#vector-和-array-的初始化","p":38},{"i":45,"t":"// 在末尾插入一个元素 v.push_back(1); v.emplace_back(1); // 在末尾删除一个元素 v.pop_back(); // 在指定位置插入一个元素 v.insert(v.begin() + 1, 2); // 在指定位置删除一个元素 v.erase(v.begin() + 1); // 在指定位置插入另一组vector v.insert(v.begin() + 1, v2.begin(), v2.end()); auto rg = std::list{1, 2, 3}; v.insert_range(v.begin() + 1, rg);","s":"vector 的插入和删除","u":"/full-stack-docusaurus/docs/algorithms/cpp-basics/vector-and-array","h":"#vector-的插入和删除","p":38},{"i":47,"t":"我之所以开始写这部分的内容, 是因为每隔一段时间当我重新需要做算法题时,我并非完全遗忘了如何去做, 而是常常无从下手。 并且我常常会忘记很多东西,不仅仅是算法,还有语法中的各种细节。 归根结底,是因为还没能形成系统的知识体系。 提示 知识体系的意思并不是说你需要完全记住它,而是在你需要的时候,可以通过一些方法快速的找到它。 我希望达到的一个效果是,当你我需要再次接触算法题时 (不论是什么原因,面试、考试、或者是为了锻炼自己的思维能力), 你可以通过这里的内容快速的回忆起来。 一天?一周?一个月?我不知道,但是我希望这个过程可以尽可能的快。","s":"准备开始","u":"/full-stack-docusaurus/docs/algorithms/getting-started","h":"","p":46},{"i":49,"t":"一些很容忽略的细节,可能会引起误解的地方。","s":"注意事项","u":"/full-stack-docusaurus/docs/algorithms/cpp-basics/precautions","h":"","p":48},{"i":51,"t":"在 C++ 17往后的版本中,你可以使用 if (init; condition) 来在进行条件判断的同时初始化变量。 但你并不能在 while 中这么做,比较好理解的解释依旧是将其和 for 循环进行比较, for 循环中的 init 部分只会在循环开始时执行一次。","s":"不能在 while 中使用 (init; condition) 的句式","u":"/full-stack-docusaurus/docs/algorithms/cpp-basics/precautions","h":"#不能在-while-中使用-init-condition-的句式","p":48},{"i":53,"t":"原题链接","s":"字母异位词分组","u":"/full-stack-docusaurus/docs/algorithms/problem-solutions/group-anagrams","h":"","p":52},{"i":55,"t":"关键在于,我们该如何描述一个字符串是另一个字符串的字母异位词, 这个动作实际上是在压缩字符串的信息,我们可以通过排序来实现这个动作, 很明显我们并不需要这些字符串中的顺序信息。 group-anagrams.py class Solution: def groupAnagrams(self, strs: List[str]) -> List[List[str]]: d = {} for s in strs: key = \"\".join(sorted(s)) # It's working faster than `tuple(sorted(s))` d[key] = d.get(key, []) + [s] return list(d.values())","s":"题解","u":"/full-stack-docusaurus/docs/algorithms/problem-solutions/group-anagrams","h":"#题解","p":52},{"i":57,"t":"利用下标访问元素的数据结构,其下标可以是任意类型,通常是整数或字符串。 提示 由于下标指代了元素的内存地址,因此可以在 O(1) 的时间复杂度内完成访问操作。 通常来说如何构建哈希函数是哈希表的关键。 💡 哈希表在某些情况下也可以消除元素中的一些不需要的信息 (可以参考 字母异位词分组) 。","s":"哈希表","u":"/full-stack-docusaurus/docs/algorithms/data-structures/hashmap","h":"","p":56},{"i":59,"t":"提示 我的意思是,通常来说官方文档不会是你学习一门语言的第一步,但是它们是你学习一门语言的最后一步。 它们是你在学习一门语言时的最佳参考资料。 你可以访问 Python3 文档 查看详情,这个链接应该会自动定向到最新的 Python 版本。","s":"官方文档","u":"/full-stack-docusaurus/docs/algorithms/python-basics/official-doc","h":"","p":58},{"i":61,"t":"原题链接","s":"移动零","u":"/full-stack-docusaurus/docs/algorithms/problem-solutions/move-zeroes","h":"","p":60},{"i":63,"t":"先来看官方的题解: move-zeroes.official.py class Solution: def moveZeroes(self, nums: List[int]) -> None: n = len(nums) left = right = 0 while right < n: if nums[right] != 0: nums[left], nums[right] = nums[right], nums[left] left += 1 right += 1 备注 我得说我并不喜欢这个解法,并且官方的解释非常难懂,我花了很久才明白它的真正意思。 在这个解法中,通俗的说法是: 所有非零元素会被进行一次交换,交换到其应该在的位置上。 但如果它们本来就在正确的位置上,那么这次交换实际上是没有意义的。","s":"题解","u":"/full-stack-docusaurus/docs/algorithms/problem-solutions/move-zeroes","h":"#题解","p":60},{"i":65,"t":"move-zeroes.py class Solution: def moveZeroes(self, nums: List[int]) -> None: n = len(nums) p = 0; q = 1 while p < n and q < n: if not nums[p] == 0: p += 1; continue if q < p + 1: q = p + 1 while q < n: if nums[q] == 0: q += 1; continue nums[p], nums[q] = nums[q], nums[p] break p += 1 再这个解答中,相反地,我们优先找到0元素,然后再找到非零元素,进行交换。 并且由于0元素只会向后交换,所以我们可以在找到非零元素后,快速移动一次非零元素指针。 这个解法更加符合读题的直觉,并且拥有更好的性能。","s":"我的解答","u":"/full-stack-docusaurus/docs/algorithms/problem-solutions/move-zeroes","h":"#我的解答","p":60},{"i":67,"t":"一些眼前一亮的语法糖。","s":"语法糖速览","u":"/full-stack-docusaurus/docs/algorithms/python-basics/view-of-syntactic-sugar","h":"","p":66},{"i":69,"t":"a, b = b, a","s":"交换两数","u":"/full-stack-docusaurus/docs/algorithms/python-basics/view-of-syntactic-sugar","h":"#交换两数","p":66},{"i":71,"t":"a = 1 if x > 0 else -1","s":"三目运算","u":"/full-stack-docusaurus/docs/algorithms/python-basics/view-of-syntactic-sugar","h":"#三目运算","p":66},{"i":73,"t":"a = 1; b = 2","s":"行内多语句","u":"/full-stack-docusaurus/docs/algorithms/python-basics/view-of-syntactic-sugar","h":"#行内多语句","p":66},{"i":75,"t":"在算法题目当中,其实是有一些常用函数的,尽管它们在开发当中很少使用。 所以我认为罗列它们并提供查询手段是有必要的。","s":"有用的函数","u":"/full-stack-docusaurus/docs/algorithms/python-basics/useful-functions","h":"","p":74},{"i":77,"t":"ord 字符转换为Integer Unicode码 chr Integer Unicode码转换为字符","s":"Unicode转换 ord 和 chr","u":"/full-stack-docusaurus/docs/algorithms/python-basics/useful-functions","h":"#unicode转换-ord-和-chr","p":74},{"i":79,"t":"sorted 排序,返回一个新的列表 ℹ️ 值得一提的是 sorted(str) 会返回一个列表,而不是字符串。","s":"排序 sorted","u":"/full-stack-docusaurus/docs/algorithms/python-basics/useful-functions","h":"#排序-sorted","p":74},{"i":82,"t":"备注 我在学生时代时,并没有很好地理解Python,但现在我发现它在某些场景下确实有着过人之处。 编程语言有很多,在编写真实世界的系统时,我希望我的语言拥有高度完备的语法特性和安全检查 通常来说,我们总是在很简单的地方出错,真实的系统在串行的逻辑方面其实不如编写算法那么复杂。 而在算法中,我们会更多地依赖各种各样的数据结构,而不是语言本身的特性。 有的语言,例如Golang,它的常用数据结构封装的非常简单,这也导致了在算法中,我们需要自己实现很多数据结构。 而Python则不一样,你可以非常灵活地操控各种数据结构,并且它支持交互式编程,操作起来会更加简单。 编写Python更接近于说话, 老实说,把 ! 替换成 not; && 替换成 and; || 替换成 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