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Python\u5728\u6570\u636e\u79d1\u5b66\u9886\u57df\u7684\u5e7f\u6cdb\u5e94\u7528\u4e3b\u8981\u5f97\u76ca\u4e8e\u5176\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u80fd\u529b\u3002Python\u62e5\u6709\u4e30\u5bcc\u7684\u5e93\u548c\u5de5\u5177\uff0c\u5982Pandas\u3001NumPy\u3001Matplotlib\u548cSciPy\u7b49\uff0c\u8fd9\u4e9b\u5de5\u5177\u53ef\u4ee5\u5e2e\u52a9\u6570\u636e\u79d1\u5b66\u5bb6\u9ad8\u6548\u5730\u8fdb\u884c\u6570\u636e\u6e05\u6d17\u3001\u5206\u6790\u548c\u53ef\u89c6\u5316\u5de5\u4f5c\u3002\u901a\u8fc7\u4f7f\u7528\u8fd9\u4e9b\u5de5\u5177\uff0c\u6570\u636e\u79d1\u5b66\u5bb6\u53ef\u4ee5\u5feb\u901f\u5904\u7406\u6d77\u91cf\u6570\u636e\uff0c\u53d1\u73b0\u5176\u4e2d\u7684\u6a21\u5f0f\u548c\u89c4\u5f8b\uff0c\u4ece\u800c\u4e3a\u4f01\u4e1a\u51b3\u7b56\u63d0\u4f9b\u6709\u529b\u652f\u6301\u3002\u6b64\u5916\uff0cPython\u8fd8\u62e5\u6709\u5f3a\u5927\u7684\u673a\u5668\u5b66\u4e60\u5e93\uff0c\u5982Scikit-learn\u548cTensorFlow\uff0c\u8fd9\u4e9b\u5e93\u4f7f\u5f97\u6784\u5efa\u548c\u90e8\u7f72\u673a\u5668\u5b66\u4e60\u6a21\u578b\u53d8\u5f97\u66f4\u52a0\u7b80\u5355\u548c\u9ad8\u6548\u3002<\/p>\n<\/p>\n

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Python\u5728\u4eba\u5de5\u667a\u80fd\uff08AI<\/a>\uff09\u548c\u673a\u5668\u5b66\u4e60\uff08ML\uff09\u9886\u57df\u7684\u5e94\u7528\u975e\u5e38\u5e7f\u6cdb\uff0c\u4e3b\u8981\u56e0\u4e3a\u5176\u7b80\u5355\u6613\u5b66\u3001\u793e\u533a\u6d3b\u8dc3\u4ee5\u53ca\u62e5\u6709\u4e30\u5bcc\u7684\u5e93\u548c\u6846\u67b6\u3002Python\u7684\u8bed\u6cd5\u7b80\u6d01\u660e\u4e86\uff0c\u6613\u4e8e\u5b66\u4e60\u548c\u4f7f\u7528\uff0c\u8fd9\u4f7f\u5f97\u7814\u7a76\u4eba\u5458\u548c\u5f00\u53d1\u8005\u53ef\u4ee5\u5c06\u66f4\u591a\u7684\u7cbe\u529b\u6295\u5165\u5230\u7b97\u6cd5\u548c\u6a21\u578b\u7684\u4f18\u5316\u4e0a\uff0c\u800c\u4e0d\u662f\u8bed\u8a00\u672c\u8eab\u7684\u590d\u6742\u6027\u3002\u6b64\u5916\uff0cPython\u7684\u5f00\u6e90\u793e\u533a\u975e\u5e38\u6d3b\u8dc3\uff0c\u5f00\u53d1\u8005\u53ef\u4ee5\u8f7b\u677e\u83b7\u53d6\u548c\u5206\u4eab\u8d44\u6e90\uff0c\u8fd9\u6709\u52a9\u4e8e\u63a8\u52a8AI\u548cML\u6280\u672f\u7684\u8fdb\u6b65\u3002<\/p>\n<\/p>\n

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Python\u5728Web\u5f00\u53d1\u4e2d\u7684\u4f18\u52bf\u8fd8\u5305\u62ec\u5176\u826f\u597d\u7684\u53ef\u8bfb\u6027\u548c\u7ef4\u62a4\u6027\u3002\u7531\u4e8ePython\u4ee3\u7801\u901a\u5e38\u8f83\u4e3a\u7b80\u6d01\u660e\u4e86\uff0c\u5f00\u53d1\u8005\u53ef\u4ee5\u66f4\u5bb9\u6613\u5730\u7406\u89e3\u548c\u7ef4\u62a4\u4ed6\u4eba\u7684\u4ee3\u7801\u3002\u8fd9\u5728\u56e2\u961f\u534f\u4f5c\u5f00\u53d1\u4e2d\u663e\u5f97\u5c24\u4e3a\u91cd\u8981\u3002\u6b64\u5916\uff0cPython\u7684\u8de8\u5e73\u53f0\u7279\u6027\u4e5f\u4f7f\u5f97\u5f00\u53d1\u8005\u53ef\u4ee5\u5728\u4e0d\u540c\u64cd\u4f5c\u7cfb\u7edf\u4e0a\u8fdb\u884c\u5f00\u53d1\u548c\u90e8\u7f72\uff0c\u4ece\u800c\u63d0\u9ad8\u4e86\u5de5\u4f5c\u6548\u7387\u3002<\/p>\n<\/p>\n

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Python\u56e0\u5176\u7b80\u6d01\u9ad8\u6548\u7684\u8bed\u6cd5\u548c\u5f3a\u5927\u7684\u5e93\u652f\u6301\uff0c\u6210\u4e3a\u81ea\u52a8\u5316\u4efb\u52a1\u548c\u811a\u672c\u7f16\u5199\u7684\u7406\u60f3\u9009\u62e9\u3002\u5728\u65e5\u5e38\u5de5\u4f5c\u4e2d\uff0c\u8bb8\u591a\u91cd\u590d\u6027\u4efb\u52a1\u53ef\u4ee5\u901a\u8fc7\u7f16\u5199Python\u811a\u672c\u6765\u81ea\u52a8\u5b8c\u6210\uff0c\u4ece\u800c\u63d0\u9ad8\u5de5\u4f5c\u6548\u7387\u3002\u4f8b\u5982\uff0cPython\u53ef\u4ee5\u7528\u6765\u6279\u91cf\u5904\u7406\u6587\u4ef6\u3001\u81ea\u52a8\u5316\u6570\u636e\u6293\u53d6\u3001\u81ea\u52a8\u5316\u6d4b\u8bd5\u7b49\u3002\u4f7f\u7528Python\u8fdb\u884c\u81ea\u52a8\u5316\u7684\u4e00\u4e2a\u4e3b\u8981\u4f18\u52bf\u662f\u5176\u8de8\u5e73\u53f0\u7279\u6027\uff0cPython\u811a\u672c\u53ef\u4ee5\u5728Windows\u3001Linux\u548cMacOS\u4e0a\u8fd0\u884c\uff0c\u800c\u65e0\u9700\u505a\u592a\u591a\u4fee\u6539\u3002<\/p>\n<\/p>\n

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Python\u5728\u91cf\u5316\u91d1\u878d\u4e2d\u7684\u5e94\u7528\u8fd8\u5305\u62ec\u9ad8\u9891\u4ea4\u6613\u548c\u98ce\u9669\u7ba1\u7406\u7b49\u9886\u57df\u3002\u7531\u4e8ePython\u7684\u7b80\u6d01\u6027\u548c\u7075\u6d3b\u6027\uff0c\u4ea4\u6613\u7b56\u7565\u7684\u5f00\u53d1\u548c\u6d4b\u8bd5\u53d8\u5f97\u66f4\u52a0\u9ad8\u6548\u3002\u901a\u8fc7\u4f7f\u7528Python\uff0c\u91d1\u878d\u5206\u6790\u5e08\u548c\u91cf\u5316\u7814\u7a76\u5458\u53ef\u4ee5\u5feb\u901f\u5f00\u53d1\u548c\u9a8c\u8bc1\u65b0\u7684\u4ea4\u6613\u7b56\u7565\uff0c\u4ece\u800c\u5728\u7ade\u4e89\u6fc0\u70c8\u7684\u5e02\u573a\u4e2d\u83b7\u5f97\u4f18\u52bf\u3002<\/p>\n<\/p>\n

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\u5728\u79d1\u7814\u9886\u57df\uff0cPython\u88ab\u5e7f\u6cdb\u7528\u4e8e\u6570\u636e\u5206\u6790\u3001\u7edf\u8ba1\u5efa\u6a21\u548c\u79d1\u5b66\u8ba1\u7b97\u3002SciPy\u3001NumPy\u3001Matplotlib\u548cJupyter Notebook\u7b49\u5de5\u5177\u4e3a\u79d1\u5b66\u5bb6\u548c\u5de5\u7a0b\u5e08\u63d0\u4f9b\u4e86\u4e00\u4e2a\u5f3a\u5927\u7684\u5e73\u53f0\uff0c\u7528\u4e8e\u8fdb\u884c\u6570\u503c\u8ba1\u7b97\u3001\u6570\u636e\u53ef\u89c6\u5316\u548c\u6587\u6863\u7f16\u5199\u3002Jupyter Notebook\u5c24\u5176\u53d7\u5230\u79d1\u7814\u4eba\u5458\u7684\u6b22\u8fce\uff0c\u56e0\u4e3a\u5b83\u5141\u8bb8\u7528\u6237\u5c06\u4ee3\u7801\u3001\u7ed3\u679c\u548c\u6587\u6863\u96c6\u6210\u5728\u4e00\u4e2a\u53ef\u4ea4\u4e92\u7684\u73af\u5883\u4e2d\uff0c\u4ece\u800c\u63d0\u9ad8\u4e86\u7814\u7a76\u7684 reproducibility\u3002<\/p>\n<\/p>\n

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