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\u6b63\u6587\uff1a<\/p>\n
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Python\u5728\u53ef\u89c6\u5316\u65b9\u9762\u4e5f\u6709\u5f88\u591a\u4f18\u52bf\u3002\u901a\u8fc7\u53ef\u89c6\u5316\uff0c\u53ef\u4ee5\u8fdb\u4e00\u6b65\u6df1\u5165\u4e86\u89e3\u56fa\u4f53\u5e9f\u7269\u95ee\u9898\uff0c\u5e76\u4e14\u66f4\u5177\u79d1\u5b66\u6027\u548c\u53ef\u64cd\u4f5c\u6027\u3002\u5728Python\u4e2d\uff0c\u6709\u5f88\u591a\u6210\u719f\u7684\u53ef\u89c6\u5316\u5e93\uff0c\u5982Matplotlib\u3001Seaborn\u7b49\uff0c\u8fd9\u4e9b\u5e93\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u5b9e\u73b0\u5404\u79cd\u56fe\u5f62\u3001\u56fe\u8868\u3001\u52a8\u6001\u56fe\u3001GIS\u6570\u636e\u7b49\u53ef\u89c6\u5316\u9700\u6c42\u3002<\/p>\n
\u4f8b\u5982\uff0c\u53ef\u4ee5\u5229\u7528Python\u4e2d\u7684Seaborn\u5e93\u5b9e\u73b0\u997c\u56fe\u3001\u76f4\u65b9\u56fe\u3001\u6563\u70b9\u56fe\u7b49\u591a\u79cd\u6570\u636e\u53ef\u89c6\u5316\u65b9\u5f0f\uff0c\u901a\u8fc7\u6570\u636e\u7684\u76f4\u89c2\u5c55\u793a\uff0c\u5e2e\u52a9\u6211\u4eec\u66f4\u597d\u5730\u7406\u89e3\u56fa\u4f53\u5e9f\u7269\u95ee\u9898\uff0c\u5e76\u5bfb\u627e\u66f4\u5177\u9488\u5bf9\u6027\u7684\u89e3\u51b3\u65b9\u6848\u3002\u53ef\u4ee5\u4f7f\u7528Python\u4e2d\u7684\u52a8\u6001\u56fe\u50cf\u5e93\uff0c\u5982Plotly\u3001G:\\\u6240\u6709\u56fe\u7247\u5e93\\1000\u5f20\u7f8e\u5973\u6a21\u7279\\\u7f29\u5c0f\u540e1000\u5f20\\010.jpgBokeh\u7b49\uff0c\u5b9e\u73b0\u52a8\u6001\u56fe\u3001\u4ea4\u4e92\u5f0f\u56fe\u7b49\uff0c\u8ba9\u6570\u636e\u7ed3\u679c\u66f4\u76f4\u89c2\u3001\u66f4\u6709\u8da3\u3002<\/p>\n
Python\u5728\u673a\u5668\u5b66\u4e60\u65b9\u9762\u4e5f\u6709\u5f88\u591a\u5f3a\u5927\u7684\u5e93\u548c\u5de5\u5177\uff0c\u5982Scikit-learn\u3001TensorFlow\u7b49\u3002\u673a\u5668\u5b66\u4e60\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u5efa\u7acb\u4e00\u4e2a\u56fa\u4f53\u5e9f\u7269\u5904\u7406\u7684\u9884\u6d4b\u6a21\u578b\uff0c\u4ee5\u4fbf\u66f4\u597d\u5730\u4f18\u5316\u56fa\u4f53\u5e9f\u7269\u7ba1\u7406\u3002<\/p>\n
\u4f8b\u5982\uff0c\u53ef\u4ee5\u5229\u7528Python\u4e2d\u7684Scikit-learn\u5e93\u5b9e\u73b0\u5206\u7c7b\u3001\u805a\u7c7b\u3001\u56de\u5f52\u7b49\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\uff0c\u4ee5\u66f4\u597d\u5730\u5206\u6790\u548c\u5229\u7528\u56fa\u4f53\u5e9f\u7269\u5904\u7406\u7684\u6570\u636e\uff0c\u5e76\u9884\u6d4b\u672a\u6765\u56fa\u4f53\u5e9f\u7269\u7684\u53d8\u5316\u8d8b\u52bf\u3002\u53ef\u4ee5\u5229\u7528Python\u4e2d\u7684TensorFlow\u7b49\u5f3a\u5927\u7684\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\uff0c\u5efa\u7acb\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\uff0c\u4ee5\u66f4\u597d\u5730\u89e3\u51b3\u590d\u6742\u7684\u56fa\u4f53\u5e9f\u7269\u95ee\u9898\u3002<\/p>\n
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\u4f8b\u5982\uff0c\u53ef\u4ee5\u5229\u7528Python\u4e2d\u7684MQTT\u534f\u8bae\uff0c\u5b9e\u73b0\u4f20\u611f\u5668\u4e0e\u670d\u52a1\u5668\u4e4b\u95f4\u7684\u8fde\u63a5\uff0c\u5b9e\u73b0\u5bf9\u4f20\u611f\u5668\u6570\u636e\u7684\u76d1\u6d4b\u3001\u5b58\u50a8\u548c\u63a7\u5236\u3002\u901a\u8fc7\u7269\u8054\u7f51\u7684\u5b9e\u65f6\u76d1\u63a7\uff0c\u53ef\u4ee5\u53ca\u65f6\u4e86\u89e3\u56fa\u4f53\u5e9f\u7269\u7684\u4ea7\u751f\u548c\u5904\u7406\u72b6\u51b5\uff0c\u5e76\u5feb\u901f\u54cd\u5e94\u7a81\u53d1\u4e8b\u4ef6\uff0c\u63d0\u9ad8\u56fa\u4f53\u5e9f\u7269\u5904\u7406\u7684\u6548\u7387\u548c\u8d28\u91cf\u3002<\/p>\n
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\u4f8b\u5982\uff0c\u53ef\u4ee5\u5229\u7528Python\u4e2d\u7684Apache Spark\u5e93\uff0c\u901a\u8fc7\u5206\u5e03\u5f0f\u8ba1\u7b97\u548c\u5185\u5b58\u8ba1\u7b97\u7b49\u5904\u7406\u65b9\u5f0f\uff0c\u5b9e\u73b0\u5927\u6570\u636e\u7684\u5feb\u901f\u5904\u7406\u548c\u5206\u6790\u3002\u901a\u8fc7\u5927\u6570\u636e\u5206\u6790\uff0c\u53ef\u4ee5\u53d1\u73b0\u56fa\u4f53\u5e9f\u7269\u95ee\u9898\u7684\u6df1\u5c42\u539f\u56e0\uff0c\u5e76\u4e3a\u56fa\u4f53\u5e9f\u7269\u7ba1\u7406\u63d0\u4f9b\u66f4\u9ad8\u6548\u3001\u66f4\u4eba\u6027\u5316\u7684\u89e3\u51b3\u65b9\u6848\u3002<\/p>\n
\u7ed3\u8bba\uff1a<\/p>\n
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