{"id":1138083,"date":"2025-01-08T21:55:45","date_gmt":"2025-01-08T13:55:45","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1138083.html"},"modified":"2025-01-08T21:55:48","modified_gmt":"2025-01-08T13:55:48","slug":"%e5%a6%82%e4%bd%95%e5%86%99%e5%85%b3%e4%ba%8epython%e5%8f%91%e5%b1%95%e7%8a%b6%e5%86%b5%e7%9a%84%e6%af%95%e4%b8%9a%e8%ae%ba%e6%96%87","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1138083.html","title":{"rendered":"\u5982\u4f55\u5199\u5173\u4e8epython\u53d1\u5c55\u72b6\u51b5\u7684\u6bd5\u4e1a\u8bba\u6587"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25101752\/c25a94e3-ccaa-445d-9dac-366fc873c518.webp\" alt=\"\u5982\u4f55\u5199\u5173\u4e8epython\u53d1\u5c55\u72b6\u51b5\u7684\u6bd5\u4e1a\u8bba\u6587\" \/><\/p>\n<p><p> <strong>\u5982\u4f55\u5199\u5173\u4e8ePython\u53d1\u5c55\u72b6\u51b5\u7684\u6bd5\u4e1a\u8bba\u6587<\/strong><\/p>\n<\/p>\n<p><p><strong>Python\u53d1\u5c55\u72b6\u51b5\u7684\u5206\u6790\uff1a\u5e7f\u6cdb\u5e94\u7528\u3001\u793e\u533a\u652f\u6301\u3001\u6301\u7eed\u66f4\u65b0\u3001\u6559\u80b2\u666e\u53ca\u3001\u4f01\u4e1a\u91c7\u7eb3<\/strong>\u3002\u5728\u8fd9\u51e0\u65b9\u9762\u4e2d\uff0c\u5e7f\u6cdb\u5e94\u7528\u662fPython\u53d6\u5f97\u6210\u529f\u7684\u5173\u952e\u56e0\u7d20\u4e4b\u4e00\u3002Python\u56e0\u5176\u7b80\u6d01\u6613\u8bfb\u7684\u8bed\u6cd5\u548c\u4e30\u5bcc\u7684\u5e93\u652f\u6301\uff0c\u5e7f\u6cdb\u5e94\u7528\u4e8e\u6570\u636e\u79d1\u5b66\u3001<a href=\"https:\/\/docs.pingcode.com\/tag\/AI\" target=\"_blank\">\u4eba\u5de5\u667a\u80fd<\/a>\u3001Web\u5f00\u53d1\u7b49\u591a\u4e2a\u9886\u57df\u3002\u672c\u6587\u5c06\u8be6\u7ec6\u63a2\u8ba8Python\u5728\u8fd9\u4e9b\u65b9\u9762\u7684\u53d1\u5c55\u72b6\u51b5\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u5e7f\u6cdb\u5e94\u7528<\/h3>\n<\/p>\n<p><h4>\u6570\u636e\u79d1\u5b66<\/h4>\n<\/p>\n<p><p>Python\u56e0\u5176\u4e30\u5bcc\u7684\u5e93\u5982NumPy\u3001Pandas\u3001Matplotlib\u3001Scikit-learn\u7b49\uff0c\u6210\u4e3a\u6570\u636e\u79d1\u5b66\u9886\u57df\u7684\u9996\u9009\u7f16\u7a0b\u8bed\u8a00\u3002\u8fd9\u4e9b\u5e93\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u529f\u80fd\uff0c\u4f7f\u5f97Python\u6210\u4e3a\u6570\u636e\u79d1\u5b66\u5bb6\u548c\u5206\u6790\u5e08\u7684\u9996\u9009\u5de5\u5177\u3002<strong>NumPy<\/strong>\u63d0\u4f9b\u4e86\u9ad8\u6548\u7684\u591a\u7ef4\u6570\u7ec4\u64cd\u4f5c\uff0c<strong>Pandas<\/strong>\u5219\u662f\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u7684\u5229\u5668\uff0c<strong>Matplotlib<\/strong>\u548c<strong>Seaborn<\/strong>\u7b49\u5e93\u5219\u5728\u6570\u636e\u53ef\u89c6\u5316\u65b9\u9762\u8868\u73b0\u51fa\u8272\u3002\u901a\u8fc7\u8fd9\u4e9b\u5e93\uff0cPython\u6781\u5927\u5730\u7b80\u5316\u4e86\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u7684\u590d\u6742\u6027\u3002<\/p>\n<\/p>\n<p><h4>\u4eba\u5de5\u667a\u80fd\u548c<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a><\/h4>\n<\/p>\n<p><p>Python\u5728\u4eba\u5de5\u667a\u80fd\u548c\u673a\u5668\u5b66\u4e60\u9886\u57df\u7684\u5e94\u7528\u4e5f\u975e\u5e38\u5e7f\u6cdb\u3002<strong>TensorFlow<\/strong>\u3001<strong>Keras<\/strong>\u3001<strong>PyTorch<\/strong>\u7b49\u5e93\u4e3a\u5f00\u53d1\u590d\u6742\u7684\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u63d0\u4f9b\u4e86\u6781\u5927\u7684\u4fbf\u5229\u3002Python\u7684\u7b80\u6d01\u8bed\u6cd5\u548c\u5f3a\u5927\u7684\u5e93\u652f\u6301\uff0c\u4f7f\u5f97\u7814\u7a76\u4eba\u5458\u548c\u5de5\u7a0b\u5e08\u80fd\u591f\u5feb\u901f\u5b9e\u73b0\u548c\u6d4b\u8bd5\u590d\u6742\u7684\u7b97\u6cd5\u3002\u7279\u522b\u662f\u5728\u6df1\u5ea6\u5b66\u4e60\u9886\u57df\uff0c<strong>PyTorch<\/strong>\u56e0\u5176\u52a8\u6001\u8ba1\u7b97\u56fe\u7684\u7279\u6027\uff0c\u6df1\u53d7\u7814\u7a76\u4eba\u5458\u7684\u559c\u7231\u3002<\/p>\n<\/p>\n<p><h4>Web\u5f00\u53d1<\/h4>\n<\/p>\n<p><p>Python\u5728Web\u5f00\u53d1\u9886\u57df\u4e5f\u6709\u7740\u5e7f\u6cdb\u7684\u5e94\u7528\u3002<strong>Django<\/strong>\u548c<strong>Flask<\/strong>\u662f\u4e24\u4e2a\u975e\u5e38\u6d41\u884c\u7684Web\u6846\u67b6\u3002<strong>Django<\/strong>\u662f\u4e00\u4e2a\u9ad8\u5c42\u6b21\u7684Python Web\u6846\u67b6\uff0c\u9f13\u52b1\u5feb\u901f\u5f00\u53d1\u548c\u5e72\u51c0\u3001\u5b9e\u7528\u7684\u8bbe\u8ba1\u3002<strong>Flask<\/strong>\u5219\u662f\u4e00\u4e2a\u8f7b\u91cf\u7ea7\u7684\u5fae\u6846\u67b6\uff0c\u975e\u5e38\u9002\u5408\u5c0f\u578b\u9879\u76ee\u548c\u539f\u578b\u5f00\u53d1\u3002Python\u5728Web\u5f00\u53d1\u4e2d\u7684\u7075\u6d3b\u6027\u548c\u9ad8\u6548\u6027\uff0c\u4f7f\u5f97\u5b83\u6210\u4e3a\u8bb8\u591a\u521d\u521b\u516c\u53f8\u548c\u5f00\u53d1\u56e2\u961f\u7684\u9996\u9009\u3002<\/p>\n<\/p>\n<p><h3>\u4e8c\u3001\u793e\u533a\u652f\u6301<\/h3>\n<\/p>\n<p><h4>\u5f00\u6e90\u793e\u533a<\/h4>\n<\/p>\n<p><p>Python\u6709\u7740\u5e9e\u5927\u7684\u5f00\u6e90\u793e\u533a\u3002\u793e\u533a\u6210\u5458\u79ef\u6781\u53c2\u4e0e\u8bed\u8a00\u548c\u5e93\u7684\u5f00\u53d1\uff0c\u5b9a\u671f\u53d1\u5e03\u65b0\u7684\u7248\u672c\u548c\u66f4\u65b0\u3002\u5f00\u6e90\u793e\u533a\u7684\u6d3b\u8dc3\u6027\uff0c\u4f7f\u5f97Python\u80fd\u591f\u5feb\u901f\u54cd\u5e94\u7528\u6237\u9700\u6c42\u548c\u6280\u672f\u8d8b\u52bf\u3002Python\u7684\u6838\u5fc3\u5f00\u53d1\u56e2\u961f\u548c\u793e\u533a\u6210\u5458\u5171\u540c\u63a8\u52a8\u4e86\u8bed\u8a00\u7684\u53d1\u5c55\u548c\u8fdb\u6b65\u3002<\/p>\n<\/p>\n<p><h4>\u6559\u80b2\u8d44\u6e90<\/h4>\n<\/p>\n<p><p>Python\u7684\u793e\u533a\u8fd8\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6559\u80b2\u8d44\u6e90\u3002\u4ece\u5728\u7ebf\u8bfe\u7a0b\u3001\u6559\u7a0b\u3001\u4e66\u7c4d\u5230\u8bba\u575b\u548c\u8ba8\u8bba\u7ec4\uff0cPython\u7684\u5b66\u4e60\u8d44\u6e90\u975e\u5e38\u4e30\u5bcc\u3002\u65e0\u8bba\u662f\u521d\u5b66\u8005\u8fd8\u662f\u9ad8\u7ea7\u5f00\u53d1\u8005\uff0c\u90fd\u53ef\u4ee5\u5728\u793e\u533a\u4e2d\u627e\u5230\u9002\u5408\u81ea\u5df1\u7684\u5b66\u4e60\u6750\u6599\u3002\u7279\u522b\u662f<strong>Coursera<\/strong>\u3001<strong>edX<\/strong>\u3001<strong>Udacity<\/strong>\u7b49\u5728\u7ebf\u6559\u80b2\u5e73\u53f0\uff0c\u63d0\u4f9b\u4e86\u5927\u91cf\u7684Python\u8bfe\u7a0b\uff0c\u5e2e\u52a9\u66f4\u591a\u4eba\u638c\u63e1\u8fd9\u95e8\u8bed\u8a00\u3002<\/p>\n<\/p>\n<p><h3>\u4e09\u3001\u6301\u7eed\u66f4\u65b0<\/h3>\n<\/p>\n<p><h4>\u8bed\u8a00\u7248\u672c<\/h4>\n<\/p>\n<p><p>Python\u7684\u8bed\u8a00\u7248\u672c\u5728\u4e0d\u65ad\u66f4\u65b0\uff0cPython\u6838\u5fc3\u5f00\u53d1\u56e2\u961f\u5b9a\u671f\u53d1\u5e03\u65b0\u7684\u7248\u672c\u3002\u6bcf\u4e2a\u65b0\u7248\u672c\u90fd\u4f1a\u5e26\u6765\u6027\u80fd\u7684\u63d0\u5347\u548c\u65b0\u529f\u80fd\u7684\u589e\u52a0\uff0c\u4f8b\u5982Python 3.8\u5f15\u5165\u7684&quot;walrus operator&quot;\uff08:=\uff09\u548cPython 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