{"id":188246,"date":"2024-05-09T16:41:32","date_gmt":"2024-05-09T08:41:32","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/188246.html"},"modified":"2024-05-09T16:41:38","modified_gmt":"2024-05-09T08:41:38","slug":"%e6%98%af%e4%b8%8d%e6%98%af%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0%e7%9a%84%e6%a1%86%e6%9e%b6%e9%83%bd%e5%81%8f%e5%90%91-python-%e5%a6%82%e6%9e%9c%e6%98%af%ef%bc%8c%e4%b8%ba%e4%bb%80%e4%b9%88-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/188246.html","title":{"rendered":"\u662f\u4e0d\u662f\u673a\u5668\u5b66\u4e60\u7684\u6846\u67b6\u90fd\u504f\u5411 Python  \u5982\u679c\u662f\uff0c\u4e3a\u4ec0\u4e48"},"content":{"rendered":"<p style=\"text-align:center\"><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/26094437\/ee331e27-6d73-4424-b481-f18b7a997dd4.webp\" alt=\"\u662f\u4e0d\u662f\u673a\u5668\u5b66\u4e60\u7684\u6846\u67b6\u90fd\u504f\u5411 Python  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target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u6846\u67b6\u90fd\u504f\u5411\u4f7f\u7528Python\u8bed\u8a00<\/strong>\uff0c\u5176\u539f\u56e0\u4e3b\u8981\u4f53\u73b0\u5728\u4ee5\u4e0b\u51e0\u70b9\uff1a<strong>\u8bed\u6cd5\u7b80\u6d01\u3001\u4e30\u5bcc\u7684\u5e93\u652f\u6301\u3001\u5e9e\u5927\u7684\u5f00\u53d1\u8005\u793e\u533a\u3001\u7075\u6d3b\u6027\u4ee5\u53ca\u4e0e\u6570\u636e\u79d1\u5b66\u7684\u7d27\u5bc6\u7ed3\u5408<\/strong>\u3002\u5176\u4e2d\uff0c<strong>\u4e30\u5bcc\u7684\u5e93\u652f\u6301<\/strong>\u662fPython\u6210\u4e3a\u673a\u5668\u5b66\u4e60\u9996\u9009\u7684\u5173\u952e\u539f\u56e0\u3002Python\u4e3a\u673a\u5668\u5b66\u4e60\u63d0\u4f9b\u4e86\u6db5\u76d6\u6570\u636e\u5904\u7406\u3001\u6570\u503c\u8ba1\u7b97\u3001\u6570\u636e\u53ef\u89c6\u5316\u7b49\u65b9\u9762\u7684\u591a\u79cd\u9ad8\u8d28\u91cf\u5e93\uff0c\u5982NumPy\u3001Pandas\u3001Matplotlib\u3001Scikit-learn\u7b49\uff0c\u5b83\u4eec\u7b80\u5316\u4e86\u6570\u636e\u5206\u6790\u548c\u6a21\u578b\u6784\u5efa\u7684\u73af\u8282\uff0c\u4f7f\u5f97\u5f00\u53d1\u8005\u53ef\u4ee5\u66f4\u52a0\u4e13\u6ce8\u4e8e\u7b97\u6cd5\u7684\u5b9e\u73b0\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u7b80\u6d01\u76f4\u89c2\u7684\u8bed\u6cd5<\/h3>\n<\/p>\n<p><p>Python\u4ee5\u5176\u7b80\u6d01\u76f4\u89c2\u7684\u8bed\u6cd5\u8457\u79f0\uff0c\u8fd9\u5bf9\u4e8e\u673a\u5668\u5b66\u4e60\u9886\u57df\u5c24\u5176\u91cd\u8981\u3002\u56e0\u4e3a\u673a\u5668\u5b66\u4e60\u7684\u7b97\u6cd5\u5f80\u5f80\u5305\u62ec\u590d\u6742\u7684\u6570\u5b66\u8fd0\u7b97\u548c\u6570\u636e\u5904\u7406\u8fc7\u7a0b\uff0cPython\u7b80\u6d01\u7684\u8bed\u6cd5\u4f7f\u5f97\u4ee3\u7801\u66f4\u6613\u8bfb\u3001\u6613\u5199\uff0c\u51cf\u5c11\u4e86\u5b66\u4e60\u6210\u672c\u548c\u5f00\u53d1\u65f6\u95f4\u3002Python\u7684\u8bed\u6cd5\u8fd1\u4f3c\u4e8e\u4f2a\u4ee3\u7801\uff0c\u8fd9\u8ba9\u7b97\u6cd5\u7684\u903b\u8f91\u8868\u8fbe\u66f4\u52a0\u6e05\u6670\uff0c\u6709\u52a9\u4e8e\u56e2\u961f\u534f\u4f5c\u548c\u4ee3\u7801\u7ef4\u62a4\u3002<\/p>\n<\/p>\n<ul>\n<li>\u6613\u7528\u6027\u548c\u5feb\u901f\u539f\u578b\u5f00\u53d1<\/p>\n<p>Python\u7684\u8bed\u6cd5\u7b80\u6d01\u8fd8\u5e26\u6765\u4e86\u5feb\u901f\u539f\u578b\u5f00\u53d1\u7684\u4fbf\u5229\u3002\u5728\u673a\u5668\u5b66\u4e60\u9879\u76ee\u7684\u521d\u671f\uff0c\u7814\u7a76\u4eba\u5458\u9700\u8981\u5feb\u901f\u5b9e\u73b0\u7b97\u6cd5\u539f\u578b\u4ee5\u9a8c\u8bc1\u5176\u53ef\u884c\u6027\uff1bPython\u8bed\u8a00\u4f7f\u5f97\u4ed6\u4eec\u53ef\u4ee5\u5feb\u901f\u7f16\u5199\u51fa\u53ef\u8fd0\u884c\u7684\u539f\u578b\u4ee3\u7801\uff0c\u4ece\u800c\u52a0\u5feb\u4e86\u8fed\u4ee3\u8fc7\u7a0b\u3002<\/li>\n<\/p>\n<\/ul>\n<p><h3>\u4e8c\u3001\u4e30\u5bcc\u7684\u5e93\u751f\u6001<\/h3>\n<\/p>\n<p><p>\u6b63\u5982\u524d\u6587\u63d0\u5230\u7684\uff0cPython\u62e5\u6709\u4e30\u5bcc\u7684\u7b2c\u4e09\u65b9\u5e93\uff0c\u8fd9\u4e9b\u5e93\u51e0\u4e4e\u6db5\u76d6\u4e86\u6240\u6709\u673a\u5668\u5b66\u4e60\u6240\u9700\u7684\u529f\u80fd\u3002NumPy\u63d0\u4f9b\u4e86\u9ad8\u6548\u7684\u591a\u7ef4\u6570\u7ec4\u5904\u7406\u80fd\u529b\uff1bPandas\u9002\u5408\u8fdb\u884c\u6570\u636e\u6e05\u6d17\u548c\u5206\u6790\uff1bmatplotlib\u5219\u662f\u6570\u636e\u53ef\u89c6\u5316\u7684\u6709\u529b\u5de5\u5177\uff1b\u800c\u8bf8\u5982Scikit-learn\u3001TensorFlow\u3001PyTorch\u7b49\u5e93\u5219\u76f4\u63a5\u63d0\u4f9b\u4e86\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u548c\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u3002<\/p>\n<\/p>\n<ul>\n<li>\u7ad9\u5728\u5de8\u4eba\u7684\u80a9\u8180\u4e0a<\/p>\n<p>\u5f00\u53d1\u8005\u901a\u8fc7\u4f7f\u7528\u8fd9\u4e9b\u6210\u719f\u7684\u5e93\uff0c\u53ef\u4ee5\u907f\u514d\u91cd\u590d\u9020\u8f6e\u5b50\uff0c<strong>\u5927\u5927\u63d0\u5347\u4e86\u5de5\u4f5c\u6548\u7387<\/strong>\u3002\u4f8b\u5982\uff0cScikit-learn\u5e93\u63d0\u4f9b\u4e86\u5927\u91cf\u7684\u5373\u63d2\u5373\u7528\u7684\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\uff0c\u7528\u6237\u4ec5\u9700\u51e0\u884c\u4ee3\u7801\u5c31\u53ef\u4ee5\u8bad\u7ec3\u548c\u6d4b\u8bd5\u6a21\u578b\uff0c\u975e\u5e38\u9002\u5408\u673a\u5668\u5b66\u4e60\u521d\u5b66\u8005\u548c\u8fdb\u884c\u5feb\u901f\u539f\u578b\u5f00\u53d1\u3002<\/li>\n<\/p>\n<\/ul>\n<p><h3>\u4e09\u3001\u5e9e\u5927\u7684\u5f00\u53d1\u8005\u793e\u533a<\/h3>\n<\/p>\n<p><p>Python\u662f\u4e00\u4e2a\u62e5\u6709\u5e9e\u5927\u5f00\u53d1\u8005\u548c\u7528\u6237\u793e\u533a\u7684\u8bed\u8a00\u3002\u793e\u533a\u7684\u652f\u6301\u610f\u5473\u7740\u5927\u91cf\u7684\u5b66\u4e60\u8d44\u6e90\u3001\u95ee\u9898\u89e3\u51b3\u65b9\u6848\u4ee5\u53ca\u6700\u65b0\u4fe1\u606f\u7684\u5feb\u901f\u5206\u4eab\u3002\u5bf9\u4e8e\u9047\u5230\u95ee\u9898\u7684\u673a\u5668\u5b66\u4e60\u5f00\u53d1\u8005\u6765\u8bf4\uff0c\u80fd\u591f\u5feb\u901f\u627e\u5230\u5e2e\u52a9\u548c\u89e3\u51b3\u65b9\u6848\u662f\u975e\u5e38\u5b9d\u8d35\u7684\u3002<\/p>\n<\/p>\n<ul>\n<li>\u5f00\u6e90\u534f\u4f5c\u7684\u529b\u91cf<\/p>\n<p>Python\u7684\u8bb8\u591a\u673a\u5668\u5b66\u4e60\u5e93\u90fd\u662f\u5f00\u6e90\u9879\u76ee\uff0c\u5b83\u4eec\u5f97\u76ca\u4e8e\u5168\u7403\u5f00\u53d1\u8005\u7684\u5171\u540c\u534f\u4f5c\u548c\u8d21\u732e\u3002\u8fd9\u4e9b\u9879\u76ee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Python\u62e5\u6709\u5f3a\u5927\u4e14\u4e30\u5bcc\u7684\u673a\u5668\u5b66\u4e60\u5e93\u548c\u5de5\u5177\u5305\uff0c\u5982NumPy\u3001Pandas\u3001Scikit-learn\u3001TensorFlow\u548cPyTorch\u3002\u8fd9\u4e9b\u5e93\u63d0\u4f9b\u4e86\u8bb8\u591a\u9ad8\u7ea7\u529f\u80fd\u548c\u7b97\u6cd5\u7684\u5b9e\u73b0\uff0c\u7b80\u5316\u4e86\u673a\u5668\u5b66\u4e60\u6a21\u578b\u7684\u6784\u5efa\u548c\u8bad\u7ec3\u8fc7\u7a0b\u3002<\/li>\n<li>\u793e\u533a\u652f\u6301: Python\u62e5\u6709\u5e9e\u5927\u7684\u5f00\u6e90\u793e\u533a\uff0c\u8fd9\u610f\u5473\u7740\u6709\u5f88\u591a\u4e0e\u673a\u5668\u5b66\u4e60\u76f8\u5173\u7684\u8d44\u6e90\u3001\u6587\u6863\u548c\u793a\u4f8b\u53ef\u4f9b\u53c2\u8003\u3002\u65e0\u8bba\u662f\u521d\u5b66\u8005\u8fd8\u662f\u4e13\u4e1a\u4eba\u58eb\uff0c\u90fd\u53ef\u4ee5\u4ece\u8fd9\u4e2a\u6d3b\u8dc3\u7684\u793e\u533a\u4e2d\u83b7\u5f97\u5e2e\u52a9\u548c\u652f\u6301\u3002<\/li>\n<li>\u53ef\u6269\u5c55\u6027: Python\u662f\u4e00\u79cd\u53ef\u6269\u5c55\u6027\u6781\u5f3a\u7684\u8bed\u8a00\uff0c\u5141\u8bb8\u5c06\u5176\u4ed6\u8bed\u8a00\u7f16\u5199\u7684\u4ee3\u7801\u4e0ePython\u4ee3\u7801\u96c6\u6210\u3002\u8fd9\u4f7f\u5f97\u5728Python\u73af\u5883\u4e2d\u4f7f\u7528\u5176\u4ed6\u8bed\u8a00\u7f16\u5199\u7684\u9ad8\u6027\u80fd\u5e93\u6210\u4e3a\u53ef\u80fd\uff0c\u4ece\u800c\u4f18\u5316\u673a\u5668\u5b66\u4e60\u6a21\u578b\u7684\u6027\u80fd\u3002<\/li>\n<\/ul>\n<p><strong>2. Python\u4ee5\u5916\u7684\u8bed\u8a00\u9002\u5408\u673a\u5668\u5b66\u4e60\u5417\uff1f<\/strong><br \/>\n\u5c3d\u7ba1Python\u662f\u673a\u5668\u5b66\u4e60\u9886\u57df\u7684\u4e3b\u6d41\u8bed\u8a00\uff0c\u4f46\u5176\u4ed6\u8bed\u8a00\u4e5f\u53ef\u4ee5\u7528\u4e8e\u5f00\u53d1\u673a\u5668\u5b66\u4e60\u6a21\u578b\u3002<\/p>\n<ul>\n<li>R\u8bed\u8a00: R\u8bed\u8a00\u662f\u53e6\u4e00\u4e2a\u5e38\u7528\u7684\u7edf\u8ba1\u5206\u6790\u8bed\u8a00\uff0c\u4e5f\u5728\u673a\u5668\u5b66\u4e60\u9886\u57df\u5f97\u5230\u5e7f\u6cdb\u4f7f\u7528\u3002R\u8bed\u8a00\u5177\u6709\u4e30\u5bcc\u7684\u7edf\u8ba1\u548c\u6570\u636e\u5206\u6790\u5e93\uff0c\u7279\u522b\u9002\u5408\u6570\u636e\u9884\u5904\u7406\u548c\u53ef\u89c6\u5316\u4efb\u52a1\u3002<\/li>\n<li>Java: Java\u4f5c\u4e3a\u4e00\u79cd\u901a\u7528\u7684\u7f16\u7a0b\u8bed\u8a00\uff0c\u4e5f\u6709\u5f88\u591a\u673a\u5668\u5b66\u4e60\u5e93\u548c\u6846\u67b6\u53ef\u7528\u3002Java\u5728\u4f01\u4e1a\u7ea7\u5e94\u7528\u4e2d\u5e7f\u6cdb\u4f7f\u7528\uff0c\u9002\u5408\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u548c\u5b9e\u65f6\u9884\u6d4b\u7b49\u573a\u666f\u3002<\/li>\n<\/ul>\n<p><strong>3. \u9009\u62e9\u673a\u5668\u5b66\u4e60\u6846\u67b6\u65f6\u5e94\u8be5\u8003\u8651\u54ea\u4e9b\u56e0\u7d20\uff1f<\/strong><br \/>\n\u5728\u9009\u62e9\u673a\u5668\u5b66\u4e60\u6846\u67b6\u65f6\uff0c\u53ef\u4ee5\u8003\u8651\u4ee5\u4e0b\u56e0\u7d20\uff1a<\/p>\n<ul>\n<li>\u76ee\u6807\u4efb\u52a1: \u4e0d\u540c\u7684\u673a\u5668\u5b66\u4e60\u6846\u67b6\u5177\u6709\u4e0d\u540c\u7684\u7279\u70b9\u548c\u9002\u7528\u573a\u666f\u3002\u6839\u636e\u81ea\u5df1\u7684\u4efb\u52a1\u9700\u6c42\uff0c\u9009\u62e9\u9002\u5408\u7684\u6846\u67b6\u53ef\u4ee5\u63d0\u9ad8\u5f00\u53d1\u6548\u7387\u548c\u6a21\u578b\u6027\u80fd\u3002<\/li>\n<li>\u7f16\u7a0b\u8bed\u8a00: \u9009\u62e9\u719f\u6089\u7684\u7f16\u7a0b\u8bed\u8a00\u53ef\u4ee5\u63d0\u9ad8\u5f00\u53d1\u6548\u7387\u3002\u5982\u679c\u5df2\u7ecf\u7cbe\u901aPython\uff0c\u9009\u62e9Python\u7684\u673a\u5668\u5b66\u4e60\u6846\u67b6\u53ef\u80fd\u66f4\u5408\u9002\u3002<\/li>\n<li>\u751f\u6001\u7cfb\u7edf: \u6846\u67b6\u6240\u62e5\u6709\u7684\u4e30\u5bcc\u5e93\u548c\u5de5\u5177\u5305\u5bf9\u5f00\u53d1\u8fc7\u7a0b\u5f88\u91cd\u8981\u3002\u786e\u4fdd\u6846\u67b6\u62e5\u6709\u9700\u8981\u7684\u529f\u80fd\u548c\u7b97\u6cd5\uff0c\u5e76\u4e14\u6709\u6d3b\u8dc3\u7684\u793e\u533a\u652f\u6301\u3002<\/li>\n<li>\u53ef\u6269\u5c55\u6027: \u5982\u679c\u9700\u8981\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u6216\u5b9e\u65f6\u9884\u6d4b\u7b49\u9ad8\u6027\u80fd\u4efb\u52a1\uff0c\u9009\u62e9\u6846\u67b6\u5bf9\u5e76\u884c\u8ba1\u7b97\u548c\u5206\u5e03\u5f0f\u5904\u7406\u6709\u826f\u597d\u652f\u6301\u7684\u53ef\u80fd\u66f4\u52a0\u5408\u9002\u3002<\/li>\n<\/ul>\n<p>\u9700\u8981\u6839\u636e\u5177\u4f53\u60c5\u51b5\u7efc\u5408\u8003\u8651\u4e0a\u8ff0\u56e0\u7d20\uff0c\u9009\u62e9\u6700\u9002\u5408\u81ea\u5df1\u7684\u673a\u5668\u5b66\u4e60\u6846\u67b6\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u662f\u7684\uff0c\u5f53\u4e0b\u5927\u90e8\u5206\u673a\u5668\u5b66\u4e60\u6846\u67b6\u90fd\u504f\u5411\u4f7f\u7528Python\u8bed\u8a00\uff0c\u5176\u539f\u56e0\u4e3b\u8981\u4f53\u73b0\u5728\u4ee5\u4e0b\u51e0\u70b9\uff1a\u8bed\u6cd5\u7b80\u6d01\u3001\u4e30\u5bcc\u7684\u5e93\u652f\u6301\u3001\u5e9e\u5927 [&hellip;]","protected":false},"author":3,"featured_media":188256,"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\/188246"}],"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=188246"}],"version-history":[{"count":0,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/188246\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/188256"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=188246"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=188246"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=188246"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}