{"id":136247,"date":"2019-03-06T14:33:45","date_gmt":"2019-03-06T06:33:45","guid":{"rendered":"https:\/\/lrxjmw.cn\/?p=136247"},"modified":"2019-02-18T15:35:24","modified_gmt":"2019-02-18T07:35:24","slug":"data-analysis-web","status":"publish","type":"post","link":"https:\/\/lrxjmw.cn\/data-analysis-web.html","title":{"rendered":"\u8c03\u67e5\u663e\u793a\u6570\u636e\u5206\u6790\u5df2\u53d6\u4ee3Web\u5f00\u53d1\u6210\u4e3a\u7b2c\u4e00\u7528\u4f8b"},"content":{"rendered":"

\u4e00\u9879\u5173\u4e8ePython\u7684\u5f00\u53d1\u8005\u8c03\u67e5\u663e\u793a\uff0c\u7f16\u7a0b\u8bed\u8a00\u73b0\u5728\u4e3b\u8981\u7528\u4e8e\u6570\u636e\u5206\u6790\uff0c\u53d6\u4ee3\u4e86\u4e4b\u524d\u7684\u7b2c\u4e00\u4e2a\u7528\u4f8bWeb\u5f00\u53d1\u3002<\/p>\n

\u53bb\u5e74\u79cb\u5929\uff0c\u7531Python\u8f6f\u4ef6\u57fa\u91d1\u4f1a\u548c\u5f00\u53d1\u4eba\u5458\u5de5\u5177\u4f9b\u5e94\u5546JetBrains\u8fdb\u884c\uff0c2018 Python\u5f00\u53d1\u8005\u8c03\u67e5\u5bf9\u6765\u81ea150\u591a\u4e2a\u56fd\u5bb6\u76842\u4e07\u591a\u540d\u5f00\u53d1\u4eba\u5458\u8fdb\u884c\u4e86\u8c03\u67e5\uff0c\u5f97\u51fa\u4e86\u8fd9\u4e00\u91cd\u8981\u5185\u5bb9\uff1a\u201c\u6570\u636e\u5206\u6790\u5728Python\u7528\u6237\u4e2d\u6bd4Web\u5f00\u53d1\u66f4\u53d7\u6b22\u8fce\uff0c\u4ece2017\u5e74\u768450\uff05\u589e\u957f\u52302018\u5e74\u768458\uff05\u3002\u201c<\/p>\n

\u5bf9\u4e8e\u62a5\u544a\u4e2d\u4f7f\u7528Python\u4f5c\u4e3a\u4e3b\u8981\u6216\u6b21\u8981\u7f16\u7a0b\u8bed\u8a00\u7684\u573a\u666f\uff0c\u4e0a\u8ff0\u6570\u5b57\u662f\u7ec4\u5408\u5728\u4e00\u8d77\u7684\u3002\u5728\u58f0\u79f0Python\u662f\u4ed6\u4eec\u7684\u4e3b\u8981\u8bed\u8a00\u7684\u53d7\u8bbf\u8005\u4e2d\uff0c54%\u7684\u4eba\u8bf4\u53bb\u5e74Python\u662f\u7528\u4e8eWeb\u5f00\u53d1\u7684\uff0c51%\u7684\u4eba\u8bf4Python\u662f\u7528\u4e8e\u6570\u636e\u5206\u6790\u7684(\u5141\u8bb8\u4f7f\u7528\u591a\u79cd\u54cd\u5e94)\u30022018\u5e74\uff0c\u8fd9\u4e00\u6bd4\u4f8b\u4e3a59%\uff0c\u7528\u4e8e\u6570\u636e\u5206\u6790\uff0c56%\u7528\u4e8e\u7f51\u7edc\u5f00\u53d1\u3002\u5728\u4f7f\u7528Python\u4f5c\u4e3a\u8f85\u52a9\u8bed\u8a00\u7684Python\u5f00\u53d1\u4eba\u5458\u4e2d\uff0cDevOps\u5df2\u7ecf\u8d85\u8fc7\u4e86Web\u5f00\u53d1\u3002<\/p>\n

\u636e\u62a5\u9053\uff0c\u5728\u6570\u636e\u5f00\u53d1\u4eba\u5458\u4e2d\uff0cNumPy\uff0cPandas\uff0cMatplotlib\u548cSciPy\u662f\u6700\u53d7\u6b22\u8fce\u7684\u6570\u636e\u79d1\u5b66\u6846\u67b6\u548c\u5e93\u3002 \u201c\u673a\u5668\u5b66\u4e60\u4e13\u7528\u5e93\uff0c\u5982SciKit-Learn\uff0cTensorFlow\uff0cKeras\u7b49\u4e5f\u5f88\u53d7\u6b22\u8fce\uff0c\u201d\u8be5\u62a5\u544a\u79f0\u3002<\/p>\n

\"\"<\/p>\n

\u6570\u636e\u79d1\u5b66\u6846\u67b6\u548c\u5e93\uff08\u6765\u6e90\uff1aPython\u8f6f\u4ef6\u57fa\u91d1\u4f1a\uff09<\/p>\n

\u5728Web\u9635\u8425\u4e2d\uff0cFlask\u548cDjango\u662f\u6700\u53d7\u6b22\u8fce\u7684\u6846\u67b6\u3002 \u201c\u62e5\u6709\u76f8\u540c\u7684\u4efd\u989d\uff08\u6bcf\u4e2a\u7ea645\uff05\uff09\uff0c\u4ed6\u4eec\u8fdc\u8fdc\u843d\u540e\u4e8e\u5176\u4ed6Python Web\u6846\u67b6\uff0c\u201d\u62a5\u544a\u79f0\u3002<\/p>\n

\"\"<\/p>\n

Web\u6846\u67b6\uff08\u6765\u6e90\uff1aPython\u8f6f\u4ef6\u57fa\u91d1\u4f1a\uff09<\/p>\n

\u5728\u76f8\u5173\u7684\u5f00\u53d1\u4eba\u5458\u5de5\u5177\u4e2d\uff0c\u4e0d\u540c\u573a\u666f\u7684\u7b2c\u4e00\u9009\u62e9\u5305\u62ec\uff1a<\/p>\n