{"id":963914,"date":"2024-12-27T04:23:16","date_gmt":"2024-12-26T20:23:16","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/963914.html"},"modified":"2024-12-27T04:23:18","modified_gmt":"2024-12-26T20:23:18","slug":"python%e5%a6%82%e4%bd%95%e4%ba%a4%e4%ba%92%e5%bc%8f","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/963914.html","title":{"rendered":"python\u5982\u4f55\u4ea4\u4e92\u5f0f"},"content":{"rendered":"

\"python\u5982\u4f55\u4ea4\u4e92\u5f0f\"<\/p>\n

Python\u7684\u4ea4\u4e92\u5f0f\u4f7f\u7528\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u5b9e\u73b0\uff0c\u5982\u547d\u4ee4\u884c\u4ea4\u4e92\u6a21\u5f0f\u3001Jupyter Notebook\u3001IPython\u7b49\u3002\u5176\u4e2d\uff0c\u547d\u4ee4\u884c\u4ea4\u4e92\u6a21\u5f0f\u662f\u6700\u57fa\u7840\u7684\u65b9\u5f0f\uff0c\u800cJupyter Notebook\u548cIPython\u63d0\u4f9b\u4e86\u66f4\u5f3a\u5927\u7684\u529f\u80fd\u548c\u66f4\u597d\u7684\u7528\u6237\u4f53\u9a8c\u3002<\/strong> \u901a\u8fc7\u547d\u4ee4\u884c\u4ea4\u4e92\u6a21\u5f0f\uff0c\u7528\u6237\u53ef\u4ee5\u5728\u7ec8\u7aef\u4e2d\u76f4\u63a5\u8f93\u5165Python\u4ee3\u7801\uff0c\u5e76\u7acb\u5373\u770b\u5230\u8f93\u51fa\u7ed3\u679c\uff0c\u8fd9\u79cd\u65b9\u5f0f\u975e\u5e38\u9002\u5408\u8fdb\u884c\u7b80\u5355\u7684\u6d4b\u8bd5\u548c\u8c03\u8bd5\u3002Jupyter Notebook\u5219\u662f\u4e00\u79cd\u57fa\u4e8eWeb\u7684\u4ea4\u4e92\u5f0f\u5f00\u53d1\u73af\u5883\uff0c\u5141\u8bb8\u7528\u6237\u5728\u540c\u4e00\u4e2a\u754c\u9762\u4e2d\u7f16\u5199\u4ee3\u7801\u3001\u8fd0\u884c\u4ee3\u7801\u3001\u8bb0\u5f55\u7b14\u8bb0\u548c\u53ef\u89c6\u5316\u6570\u636e\u3002\u5b83\u7279\u522b\u9002\u5408\u4e8e\u6570\u636e\u79d1\u5b66\u548c\u673a\u5668\u5b66\u4e60<\/a>\u7684\u5de5\u4f5c\u6d41\u7a0b\uff0c\u56e0\u4e3a\u5b83\u652f\u6301\u4e30\u5bcc\u7684\u56fe\u5f62\u5c55\u793a\u548c\u4ea4\u4e92\u64cd\u4f5c\u3002\u6b64\u5916\uff0cIPython\u63d0\u4f9b\u4e86\u4e00\u79cd\u589e\u5f3a\u7684\u547d\u4ee4\u884c\u4ea4\u4e92\u73af\u5883\uff0c\u5177\u6709\u66f4\u597d\u7684\u81ea\u52a8\u8865\u5168\u529f\u80fd\u548c\u66f4\u5f3a\u7684\u547d\u4ee4\u6267\u884c\u80fd\u529b\u3002\u5728\u8fd9\u4e9b\u5de5\u5177\u4e2d\uff0c\u7528\u6237\u53ef\u4ee5\u901a\u8fc7\u8f93\u5165Python\u4ee3\u7801\u6765\u4e0e\u8ba1\u7b97\u673a\u8fdb\u884c\u4ea4\u4e92\uff0c\u5b9e\u65f6\u67e5\u770b\u548c\u4fee\u6539\u4ee3\u7801\u7684\u8fd0\u884c\u7ed3\u679c\uff0c\u4ece\u800c\u5927\u5927\u63d0\u9ad8\u4e86\u5f00\u53d1\u6548\u7387\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u547d\u4ee4\u884c\u4ea4\u4e92\u6a21\u5f0f<\/p>\n<\/p>\n

Python\u7684\u547d\u4ee4\u884c\u4ea4\u4e92\u6a21\u5f0f\u662f\u6700\u57fa\u672c\u7684\u4ea4\u4e92\u65b9\u5f0f\uff0c\u7528\u6237\u53ef\u4ee5\u901a\u8fc7\u6253\u5f00\u7ec8\u7aef\u5e76\u8f93\u5165python<\/code>\u547d\u4ee4\u6765\u542f\u52a8Python\u7684\u4ea4\u4e92\u5f0f\u89e3\u91ca\u5668\u3002\u5728\u8fd9\u4e2a\u6a21\u5f0f\u4e0b\uff0c\u7528\u6237\u53ef\u4ee5\u9010\u884c\u8f93\u5165Python\u4ee3\u7801\uff0c\u5e76\u5728\u6bcf\u4e00\u884c\u4ee3\u7801\u6267\u884c\u540e\u7acb\u5373\u5f97\u5230\u7ed3\u679c\u3002\u8fd9\u79cd\u65b9\u5f0f\u7684\u4f18\u70b9\u662f\u7b80\u5355\u5feb\u6377\uff0c\u9002\u5408\u4e8e\u8fdb\u884c\u7b80\u5355\u7684\u4ee3\u7801\u6d4b\u8bd5\u548c\u8c03\u8bd5\u3002<\/p>\n<\/p>\n

\u547d\u4ee4\u884c\u4ea4\u4e92\u6a21\u5f0f\u7684\u4e00\u4e2a\u91cd\u8981\u7279\u6027\u662f\u5b83\u7684\u5373\u65f6\u53cd\u9988\u80fd\u529b\u3002\u7528\u6237\u53ef\u4ee5\u5728\u7ec8\u7aef\u4e2d\u76f4\u63a5\u8f93\u5165Python\u8868\u8fbe\u5f0f\u6216\u8bed\u53e5\uff0c\u89e3\u91ca\u5668\u4f1a\u7acb\u5373\u6267\u884c\u5e76\u663e\u793a\u7ed3\u679c\u3002\u8fd9\u79cd\u5b9e\u65f6\u7684\u53cd\u9988\u673a\u5236\u4f7f\u5f97\u7528\u6237\u53ef\u4ee5\u5feb\u901f\u8bd5\u9a8c\u4e0d\u540c\u7684\u4ee3\u7801\u7247\u6bb5\uff0c\u89c2\u5bdf\u5176\u884c\u4e3a\u548c\u8f93\u51fa\uff0c\u8fd9\u5bf9\u4e8e\u5b66\u4e60Python\u548c\u8fdb\u884c\u4ee3\u7801\u8c03\u8bd5\u90fd\u975e\u5e38\u6709\u5e2e\u52a9\u3002<\/p>\n<\/p>\n

\u4e8c\u3001Jupyter Notebook<\/p>\n<\/p>\n

Jupyter Notebook\u662f\u4e00\u79cd\u57fa\u4e8eWeb\u7684\u4ea4\u4e92\u5f0f\u5f00\u53d1\u73af\u5883\uff0c\u5b83\u5141\u8bb8\u7528\u6237\u5728\u4e00\u4e2a\u6587\u6863\u4e2d\u7f16\u5199\u548c\u6267\u884c\u4ee3\u7801\u3001\u8bb0\u5f55\u7b14\u8bb0\u3001\u63d2\u5165\u516c\u5f0f\u548c\u53ef\u89c6\u5316\u6570\u636e\u3002Jupyter Notebook\u7684\u6838\u5fc3\u662f\u5b83\u7684\u4ea4\u4e92\u5f0f\u6027\uff0c\u7528\u6237\u53ef\u4ee5\u5728\u6587\u6863\u4e2d\u63d2\u5165\u4ee3\u7801\u5757\uff0c\u6bcf\u4e2a\u4ee3\u7801\u5757\u53ef\u4ee5\u72ec\u7acb\u8fd0\u884c\uff0c\u5e76\u663e\u793a\u8fd0\u884c\u7ed3\u679c\u3002<\/p>\n<\/p>\n

Jupyter Notebook\u7279\u522b\u9002\u5408\u4e8e\u6570\u636e\u79d1\u5b66\u548c\u673a\u5668\u5b66\u4e60\u9886\u57df\u7684\u5de5\u4f5c\uff0c\u56e0\u4e3a\u5b83\u652f\u6301\u4e30\u5bcc\u7684\u56fe\u8868\u548c\u6570\u636e\u53ef\u89c6\u5316\u529f\u80fd\u3002\u7528\u6237\u53ef\u4ee5\u5728Notebook\u4e2d\u4f7f\u7528Python\u7684\u5404\u79cd\u6570\u636e\u5206\u6790\u548c\u53ef\u89c6\u5316\u5e93\uff0c\u5982Pandas\u3001Matplotlib\u3001Seaborn\u7b49\uff0c\u8fdb\u884c\u6570\u636e\u7684\u9884\u5904\u7406\u3001\u5206\u6790\u548c\u5c55\u793a\u3002\u6b64\u5916\uff0cJupyter Notebook\u8fd8\u652f\u6301Markdown\u683c\u5f0f\u7684\u6587\u672c\uff0c\u4f7f\u5f97\u7528\u6237\u53ef\u4ee5\u5728\u4ee3\u7801\u65c1\u8fb9\u6dfb\u52a0\u8be6\u7ec6\u7684\u6ce8\u91ca\u548c\u8bf4\u660e\uff0c\u4e3a\u6570\u636e\u5206\u6790\u8fc7\u7a0b\u63d0\u4f9b\u4e86\u826f\u597d\u7684\u8bb0\u5f55\u548c\u5206\u4eab\u9014\u5f84\u3002<\/p>\n<\/p>\n

\u4e09\u3001IPython<\/p>\n<\/p>\n

IPython\u662fPython\u7684\u4e00\u4e2a\u589e\u5f3a\u7248\u4ea4\u4e92\u5f0f\u89e3\u91ca\u5668\uff0c\u5b83\u63d0\u4f9b\u4e86\u66f4\u5f3a\u5927\u7684\u529f\u80fd\u548c\u66f4\u597d\u7684\u7528\u6237\u4f53\u9a8c\u3002\u4e0e\u4f20\u7edf\u7684Python\u547d\u4ee4\u884c\u4ea4\u4e92\u6a21\u5f0f\u76f8\u6bd4\uff0cIPython\u5177\u6709\u66f4\u4e30\u5bcc\u7684\u7279\u6027\uff0c\u5982\u81ea\u52a8\u8865\u5168\u3001\u9b54\u672f\u547d\u4ee4\u3001\u5185\u7f6e\u7684\u8c03\u8bd5\u5668\u7b49\uff0c\u8fd9\u4e9b\u529f\u80fd\u4f7f\u5f97IPython\u6210\u4e3aPython\u5f00\u53d1\u8005\u7684\u4e00\u4e2a\u975e\u5e38\u6709\u7528\u7684\u5de5\u5177\u3002<\/p>\n<\/p>\n

\u81ea\u52a8\u8865\u5168\u662fIPython\u7684\u4e00\u5927\u7279\u8272\uff0c\u5f53\u7528\u6237\u8f93\u5165\u4ee3\u7801\u65f6\uff0cIPython\u4f1a\u81ea\u52a8\u63d0\u4f9b\u53ef\u80fd\u7684\u8865\u5168\u9009\u9879\uff0c\u8fd9\u5728\u5904\u7406\u957f\u53d8\u91cf\u540d\u6216\u51fd\u6570\u540d\u65f6\u975e\u5e38\u65b9\u4fbf\u3002\u9b54\u672f\u547d\u4ee4\u662fIPython\u4e2d\u7684\u4e00\u79cd\u7279\u6b8a\u547d\u4ee4\uff0c\u5b83\u4eec\u4ee5\u767e\u5206\u53f7\uff08%\uff09\u5f00\u5934\uff0c\u7528\u4e8e\u6267\u884c\u7279\u5b9a\u7684\u64cd\u4f5c\uff0c\u5982\u67e5\u770b\u5f53\u524d\u7684\u5de5\u4f5c\u76ee\u5f55\u3001\u8ba1\u65f6\u4ee3\u7801\u8fd0\u884c\u65f6\u95f4\u3001\u52a0\u8f7d\u5916\u90e8\u811a\u672c\u7b49\u3002\u901a\u8fc7\u8fd9\u4e9b\u529f\u80fd\uff0cIPython\u4e0d\u4ec5\u63d0\u4f9b\u4e86\u4e00\u4e2a\u5f3a\u5927\u7684\u4ea4\u4e92\u73af\u5883\uff0c\u8fd8\u63d0\u9ad8\u4e86\u7528\u6237\u7684\u5f00\u53d1\u6548\u7387\u3002<\/p>\n<\/p>\n

\u56db\u3001\u4ea4\u4e92\u5f0f\u5f00\u53d1\u7684\u5e94\u7528\u573a\u666f<\/p>\n<\/p>\n

Python\u7684\u4ea4\u4e92\u5f0f\u4f7f\u7528\u65b9\u5f0f\u5728\u8bb8\u591a\u9886\u57df\u90fd\u6709\u5e7f\u6cdb\u7684\u5e94\u7528\u3002\u5bf9\u4e8e\u521d\u5b66\u8005\u800c\u8a00\uff0c\u4ea4\u4e92\u6a21\u5f0f\u662f\u5b66\u4e60Python\u7f16\u7a0b\u8bed\u8a00\u7684\u7406\u60f3\u8d77\u70b9\u3002\u901a\u8fc7\u5728\u547d\u4ee4\u884c\u6216Jupyter Notebook\u4e2d\u8f93\u5165\u4ee3\u7801\uff0c\u521d\u5b66\u8005\u53ef\u4ee5\u5373\u65f6\u770b\u5230\u4ee3\u7801\u7684\u6548\u679c\uff0c\u5e2e\u52a9\u7406\u89e3Python\u7684\u8bed\u6cd5\u548c\u8bed\u4e49\u3002<\/p>\n<\/p>\n

\u5728\u6570\u636e\u79d1\u5b66\u548c\u673a\u5668\u5b66\u4e60\u4e2d\uff0c\u4ea4\u4e92\u5f0f\u5f00\u53d1\u73af\u5883\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u5de5\u5177\u6765\u63a2\u7d22\u6570\u636e\u3001\u6784\u5efa\u6a21\u578b\u548c\u53ef\u89c6\u5316\u7ed3\u679c\u3002Jupyter Notebook\u7684\u7075\u6d3b\u6027\u548c\u53ef\u89c6\u5316\u80fd\u529b\u4f7f\u5f97\u7814\u7a76\u4eba\u5458\u80fd\u591f\u66f4\u6709\u6548\u5730\u8fdb\u884c\u6570\u636e\u63a2\u7d22\u548c\u6a21\u578b\u5b9e\u9a8c\u3002\u7528\u6237\u53ef\u4ee5\u8f7b\u677e\u5730\u4fee\u6539\u4ee3\u7801\u548c\u67e5\u770b\u7ed3\u679c\uff0c\u4ece\u800c\u5feb\u901f\u8fed\u4ee3\u548c\u4f18\u5316\u6a21\u578b\u3002<\/p>\n<\/p>\n

\u5728\u8f6f\u4ef6\u5f00\u53d1\u4e2d\uff0c\u4ea4\u4e92\u5f0f\u5f00\u53d1\u73af\u5883\u4e5f\u80fd\u63d0\u9ad8\u5f00\u53d1\u6548\u7387\u3002\u5f00\u53d1\u8005\u53ef\u4ee5\u5728IPython\u4e2d\u6d4b\u8bd5\u4ee3\u7801\u7247\u6bb5\u3001\u8c03\u8bd5\u7a0b\u5e8f\u903b\u8f91\uff0c\u5feb\u901f\u5b9a\u4f4d\u548c\u4fee\u590d\u95ee\u9898\u3002\u8fd9\u79cd\u5373\u65f6\u53cd\u9988\u673a\u5236\u4e0d\u4ec5\u52a0\u5feb\u4e86\u5f00\u53d1\u901f\u5ea6\uff0c\u8fd8\u63d0\u5347\u4e86\u4ee3\u7801\u8d28\u91cf\u3002<\/p>\n<\/p>\n

\u4e94\u3001\u5982\u4f55\u9009\u62e9\u5408\u9002\u7684\u4ea4\u4e92\u5de5\u5177<\/p>\n<\/p>\n

\u9009\u62e9\u5408\u9002\u7684Python\u4ea4\u4e92\u5de5\u5177\u53d6\u51b3\u4e8e\u7528\u6237\u7684\u5177\u4f53\u9700\u6c42\u548c\u5e94\u7528\u573a\u666f\u3002\u5bf9\u4e8e\u9700\u8981\u5feb\u901f\u6d4b\u8bd5\u548c\u8c03\u8bd5\u4ee3\u7801\u7684\u5f00\u53d1\u8005\uff0c\u547d\u4ee4\u884c\u4ea4\u4e92\u6a21\u5f0f\u6216IPython\u662f\u4e0d\u9519\u7684\u9009\u62e9\u3002\u5b83\u4eec\u63d0\u4f9b\u4e86\u7b80\u5355\u76f4\u89c2\u7684\u754c\u9762\uff0c\u9002\u5408\u8fdb\u884c\u5c0f\u89c4\u6a21\u7684\u4ee3\u7801\u5b9e\u9a8c\u3002<\/p>\n<\/p>\n

\u5bf9\u4e8e\u9700\u8981\u8fdb\u884c\u6570\u636e\u5206\u6790\u548c\u53ef\u89c6\u5316\u7684\u7528\u6237\uff0cJupyter Notebook\u662f\u7406\u60f3\u7684\u9009\u62e9\u3002\u5b83\u652f\u6301\u4e30\u5bcc\u7684\u56fe\u8868\u548c\u5c55\u793a\u529f\u80fd\uff0c\u53ef\u4ee5\u5e2e\u52a9\u7528\u6237\u66f4\u597d\u5730\u7406\u89e3\u6570\u636e\u3001\u5c55\u793a\u7ed3\u679c\u3002\u6b64\u5916\uff0cNotebook\u7684Markdown\u652f\u6301\u4e5f\u4f7f\u5f97\u6587\u6863\u7f16\u5199\u548c\u5206\u4eab\u53d8\u5f97\u66f4\u52a0\u4fbf\u6377\u3002<\/p>\n<\/p>\n

\u5728\u56e2\u961f\u534f\u4f5c\u548c\u9879\u76ee\u7ba1\u7406<\/a>\u4e2d\uff0c\u9009\u62e9\u5408\u9002\u7684\u5de5\u5177\u4e5f\u80fd\u63d0\u9ad8\u6548\u7387\u3002Jupyter Notebook\u7684\u5171\u4eab\u529f\u80fd\u5141\u8bb8\u56e2\u961f\u6210\u5458\u5171\u4eab\u6587\u6863\u548c\u7ed3\u679c\uff0c\u4ece\u800c\u4fc3\u8fdb\u534f\u4f5c\u548c\u6c9f\u901a\u3002\u800cIPython\u7684\u5f3a\u5927\u529f\u80fd\u5219\u53ef\u4ee5\u5e2e\u52a9\u5f00\u53d1\u56e2\u961f\u66f4\u9ad8\u6548\u5730\u8fdb\u884c\u4ee3\u7801\u8c03\u8bd5\u548c\u4f18\u5316\u3002<\/p>\n<\/p>\n

\u516d\u3001\u63d0\u9ad8\u4ea4\u4e92\u5f0f\u5f00\u53d1\u6548\u7387\u7684\u6280\u5de7<\/p>\n<\/p>\n

\u5728\u4f7f\u7528Python\u8fdb\u884c\u4ea4\u4e92\u5f0f\u5f00\u53d1\u65f6\uff0c\u6709\u4e00\u4e9b\u6280\u5de7\u53ef\u4ee5\u5e2e\u52a9\u7528\u6237\u63d0\u9ad8\u6548\u7387\u548c\u4f53\u9a8c\u3002\u9996\u5148\uff0c\u719f\u6089\u5feb\u6377\u952e\u548c\u5e38\u7528\u547d\u4ee4\u80fd\u591f\u5927\u5927\u52a0\u5feb\u64cd\u4f5c\u901f\u5ea6\u3002\u4f8b\u5982\uff0c\u5728Jupyter Notebook\u4e2d\uff0c\u7528\u6237\u53ef\u4ee5\u4f7f\u7528Shift+Enter\u6765\u5feb\u901f\u8fd0\u884c\u5f53\u524d\u5355\u5143\u683c\u5e76\u8df3\u8f6c\u5230\u4e0b\u4e00\u4e2a\u5355\u5143\u683c\u3002<\/p>\n<\/p>\n

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\u5982\u4f55\u5728Python\u4ea4\u4e92\u5f0f\u73af\u5883\u4e2d\u8c03\u8bd5\u4ee3\u7801\uff1f<\/strong>
\u5728\u4ea4\u4e92\u5f0f\u73af\u5883\u4e2d\u8c03\u8bd5\u4ee3\u7801\u975e\u5e38\u65b9\u4fbf\u3002\u60a8\u53ef\u4ee5\u9010\u884c\u8f93\u5165\u4ee3\u7801\uff0c\u89c2\u5bdf\u53d8\u91cf\u7684\u53d8\u5316\uff0c\u5229\u7528print()<\/code>\u51fd\u6570\u8f93\u51fa\u4e2d\u95f4\u7ed3\u679c\u3002\u6b64\u5916\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u5185\u7f6e\u7684pdb<\/code>\u6a21\u5757\uff0c\u5728\u4ee3\u7801\u4e2d\u8bbe\u7f6e\u65ad\u70b9\uff0c\u9010\u6b65\u6267\u884c\uff0c\u67e5\u770b\u53d8\u91cf\u72b6\u6001\u3002\u8fd9\u79cd\u65b9\u5f0f\u4f7f\u5f97\u6355\u6349\u548c\u4fee\u590d\u9519\u8bef\u53d8\u5f97\u66f4\u52a0\u7b80\u5355\u9ad8\u6548\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u7684\u4ea4\u4e92\u5f0f\u4f7f\u7528\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u5b9e\u73b0\uff0c\u5982\u547d\u4ee4\u884c\u4ea4\u4e92\u6a21\u5f0f\u3001Jupyter Notebook\u3001IPytho […]","protected":false},"author":3,"featured_media":963924,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/963914"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=963914"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/963914\/revisions"}],"predecessor-version":[{"id":963927,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/963914\/revisions\/963927"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/963924"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=963914"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=963914"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=963914"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}