{"id":1014198,"date":"2024-12-27T11:54:09","date_gmt":"2024-12-27T03:54:09","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1014198.html"},"modified":"2024-12-27T11:54:11","modified_gmt":"2024-12-27T03:54:11","slug":"python%e8%af%ad%e8%a8%80%e5%a6%82%e4%bd%95%e5%ba%94%e7%94%a8%e5%ae%9e%e8%b7%b5","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1014198.html","title":{"rendered":"python\u8bed\u8a00\u5982\u4f55\u5e94\u7528\u5b9e\u8df5"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25094406\/1b848619-2989-47c4-9086-4b12ab64d8d8.webp\" alt=\"python\u8bed\u8a00\u5982\u4f55\u5e94\u7528\u5b9e\u8df5\" \/><\/p>\n<p><p> <strong>Python\u8bed\u8a00\u5728\u5b9e\u8df5\u4e2d\u7684\u5e94\u7528\u975e\u5e38\u5e7f\u6cdb\uff0c\u5305\u62ec\u6570\u636e\u5206\u6790\u3001<a href=\"https:\/\/docs.pingcode.com\/tag\/AI\" target=\"_blank\">\u4eba\u5de5\u667a\u80fd<\/a>\u3001\u7f51\u7edc\u5f00\u53d1\u3001\u81ea\u52a8\u5316\u811a\u672c\u7b49\u591a\u4e2a\u9886\u57df\u3002\u5176\u7b80\u5355\u6613\u5b66\u3001\u5f3a\u5927\u7684\u5e93\u652f\u6301\u3001\u8de8\u5e73\u53f0\u6027\u4f7f\u5176\u6210\u4e3a\u7a0b\u5e8f\u5458\u548c\u4f01\u4e1a\u7684\u70ed\u95e8\u9009\u62e9\u3002<\/strong>Python\u5728\u6570\u636e\u5206\u6790\u4e2d\u4e3b\u8981\u7528\u4e8e\u6570\u636e\u6e05\u6d17\u548c\u6570\u636e\u53ef\u89c6\u5316\uff1b\u5728\u4eba\u5de5\u667a\u80fd\u9886\u57df\uff0cPython\u652f\u6301\u591a\u79cd<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u6846\u67b6\uff1b\u5728\u7f51\u7edc\u5f00\u53d1\u4e2d\uff0cPython\u7684Flask\u548cDjango\u6846\u67b6\u7b80\u5316\u4e86Web\u5e94\u7528\u7684\u5f00\u53d1\uff1b\u5728\u81ea\u52a8\u5316\u65b9\u9762\uff0cPython\u53ef\u4ee5\u7f16\u5199\u811a\u672c\u81ea\u52a8\u5316\u7e41\u7410\u7684\u4efb\u52a1\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u5c06\u8be6\u7ec6\u63a2\u8ba8Python\u5728\u8fd9\u4e9b\u9886\u57df\u4e2d\u7684\u5e94\u7528\u53ca\u5176\u4f18\u52bf\u3002<\/p>\n<\/p>\n<p><p>\u4e00\u3001\u6570\u636e\u5206\u6790\u4e0e\u79d1\u5b66\u8ba1\u7b97<\/p>\n<\/p>\n<p><p>Python\u5728\u6570\u636e\u5206\u6790\u548c\u79d1\u5b66\u8ba1\u7b97\u9886\u57df\u626e\u6f14\u7740\u4e0d\u53ef\u6216\u7f3a\u7684\u89d2\u8272\u3002\u5176\u4e30\u5bcc\u7684\u5e93\u548c\u5de5\u5177\u4f7f\u5f97\u5904\u7406\u590d\u6742\u7684\u6570\u636e\u53d8\u5f97\u7b80\u5355\u9ad8\u6548\u3002<\/p>\n<\/p>\n<ol>\n<li><strong>Pandas\u548cNumPy\u5e93<\/strong><\/li>\n<\/ol>\n<p><p>Pandas\u548cNumPy\u662fPython\u8fdb\u884c\u6570\u636e\u5206\u6790\u548c\u79d1\u5b66\u8ba1\u7b97\u7684\u6838\u5fc3\u5e93\u3002Pandas\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u7ed3\u6784\u548c\u6570\u636e\u5206\u6790\u5de5\u5177\uff0c\u5c24\u5176\u9002\u7528\u4e8e\u6570\u636e\u6e05\u6d17\u548c\u6570\u636e\u64cd\u7eb5\u3002NumPy\u5219\u63d0\u4f9b\u4e86\u652f\u6301\u5927\u578b\u591a\u7ef4\u6570\u7ec4\u548c\u77e9\u9635\u7684\u8fd0\u7b97\uff0c\u4ee5\u53ca\u5927\u91cf\u7684\u6570\u5b66\u51fd\u6570\u5e93\u3002\u901a\u8fc7\u7ed3\u5408\u8fd9\u4e24\u4e2a\u5e93\uff0cPython\u80fd\u591f\u9ad8\u6548\u5730\u8fdb\u884c\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n<ol start=\"2\">\n<li><strong>\u6570\u636e\u53ef\u89c6\u5316<\/strong><\/li>\n<\/ol>\n<p><p>Python\u4e2d\u7684Matplotlib\u548cSeaborn\u5e93\u662f\u6570\u636e\u53ef\u89c6\u5316\u7684\u5229\u5668\u3002Matplotlib\u63d0\u4f9b\u4e86\u7075\u6d3b\u7684\u4e8c\u7ef4\u56fe\u5f62\u7ed8\u5236\u529f\u80fd\uff0c\u53ef\u4ee5\u521b\u5efa\u4ece\u7b80\u5355\u5230\u590d\u6742\u7684\u56fe\u5f62\u3002Seaborn\u5728Matplotlib\u7684\u57fa\u7840\u4e0a\u8fdb\u884c\u4e86\u6269\u5c55\uff0c\u4f7f\u5f97\u6570\u636e\u53ef\u89c6\u5316\u66f4\u52a0\u7b80\u6d01\u548c\u7f8e\u89c2\u3002\u8fd9\u4e9b\u5e93\u4f7f\u5f97Python\u5728\u6570\u636e\u5206\u6790\u4e2d\u4e0d\u4ec5\u80fd\u5904\u7406\u6570\u636e\uff0c\u8fd8\u80fd\u76f4\u89c2\u5730\u5c55\u793a\u7ed3\u679c\u3002<\/p>\n<\/p>\n<p><p>\u4e8c\u3001\u4eba\u5de5\u667a\u80fd\u4e0e\u673a\u5668\u5b66\u4e60<\/p>\n<\/p>\n<p><p>Python\u662f\u4eba\u5de5\u667a\u80fd\u548c\u673a\u5668\u5b66\u4e60\u9886\u57df\u7684\u9996\u9009\u8bed\u8a00\uff0c\u5176\u7b80\u6d01\u7684\u8bed\u6cd5\u548c\u5f3a\u5927\u7684\u5e93\u652f\u6301\u4f7f\u5f97\u590d\u6742\u7b97\u6cd5\u7684\u5b9e\u73b0\u53d8\u5f97\u76f8\u5bf9\u7b80\u5355\u3002<\/p>\n<\/p>\n<ol>\n<li><strong>Scikit-learn<\/strong><\/li>\n<\/ol>\n<p><p>Scikit-learn\u662fPython\u4e2d\u4e00\u4e2a\u5f3a\u5927\u7684\u673a\u5668\u5b66\u4e60\u5e93\uff0c\u6db5\u76d6\u4e86\u5206\u7c7b\u3001\u56de\u5f52\u3001\u805a\u7c7b\u7b49\u591a\u79cd\u7b97\u6cd5\u3002\u5b83\u7684\u7b80\u6d01\u63a5\u53e3\u548c\u8be6\u7ec6\u6587\u6863\u4f7f\u5f97\u673a\u5668\u5b66\u4e60\u6a21\u578b\u7684\u6784\u5efa\u548c\u8c03\u8bd5\u53d8\u5f97\u66f4\u52a0\u65b9\u4fbf\u3002\u901a\u8fc7Scikit-learn\uff0c\u7528\u6237\u53ef\u4ee5\u5feb\u901f\u5b9e\u73b0\u548c\u5b9e\u9a8c\u5404\u79cd\u673a\u5668\u5b66\u4e60\u6a21\u578b\u3002<\/p>\n<\/p>\n<ol start=\"2\">\n<li><strong>TensorFlow\u548cPyTorch<\/strong><\/li>\n<\/ol>\n<p><p>TensorFlow\u548cPyTorch\u662f\u4e24\u5927\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\uff0c\u5206\u522b\u7531Google\u548cFacebook\u5f00\u53d1\u3002TensorFlow\u4ee5\u5176\u9ad8\u6548\u6027\u548c\u826f\u597d\u7684\u652f\u6301\u751f\u6001\u7cfb\u7edf\u800c\u8457\u79f0\uff0c\u800cPyTorch\u5219\u56e0\u5176\u52a8\u6001\u8ba1\u7b97\u56fe\u548c\u6613\u4e8e\u8c03\u8bd5\u7684\u7279\u6027\u53d7\u5230\u9752\u7750\u3002\u65e0\u8bba\u662f\u6784\u5efa\u7b80\u5355\u7684\u795e\u7ecf\u7f51\u7edc\u8fd8\u662f\u590d\u6742\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\uff0cPython\u90fd\u80fd\u901a\u8fc7\u8fd9\u4e24\u4e2a\u6846\u67b6\u8f7b\u677e\u5b9e\u73b0\u3002<\/p>\n<\/p>\n<p><p>\u4e09\u3001Web\u5f00\u53d1<\/p>\n<\/p>\n<p><p>Python\u5728Web\u5f00\u53d1\u9886\u57df\u540c\u6837\u8868\u73b0\u51fa\u8272\uff0c\u5176\u6846\u67b6Flask\u548cDjango\u4e3a\u5f00\u53d1\u8005\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u5de5\u5177\u3002<\/p>\n<\/p>\n<ol>\n<li><strong>Flask<\/strong><\/li>\n<\/ol>\n<p><p>Flask\u662f\u4e00\u4e2a\u8f7b\u91cf\u7ea7\u7684Web\u6846\u67b6\uff0c\u9002\u7528\u4e8e\u5c0f\u578b\u5e94\u7528\u548c\u5fae\u670d\u52a1\u3002\u5b83\u7684\u6838\u5fc3\u7b80\u5355\u800c\u7075\u6d3b\uff0c\u652f\u6301\u591a\u79cd\u6269\u5c55\uff0c\u4f7f\u5f97\u5f00\u53d1\u8005\u53ef\u4ee5\u6839\u636e\u9700\u6c42\u5b9a\u5236\u529f\u80fd\u3002Flask\u7684\u8bbe\u8ba1\u7406\u5ff5\u662f\u201c\u7b80\u5355\u5373\u7f8e\u201d\uff0c\u5f00\u53d1\u8005\u53ef\u4ee5\u5feb\u901f\u4e0a\u624b\u5e76\u5f00\u53d1\u51fa\u529f\u80fd\u9f50\u5168\u7684Web\u5e94\u7528\u3002<\/p>\n<\/p>\n<ol start=\"2\">\n<li><strong>Django<\/strong><\/li>\n<\/ol>\n<p><p>Django\u662f\u4e00\u4e2a\u5168\u529f\u80fd\u7684Web\u6846\u67b6\uff0c\u9002\u7528\u4e8e\u5927\u578b\u590d\u6742\u7684Web\u5e94\u7528\u3002\u5b83\u63d0\u4f9b\u4e86\u4ece\u6570\u636e\u5e93\u5230\u6a21\u677f\u7684\u5168\u5957\u89e3\u51b3\u65b9\u6848\uff0c\u652f\u6301\u5feb\u901f\u5f00\u53d1\u548c\u90e8\u7f72\u3002Django\u5f3a\u8c03\u53ef\u91cd\u7528\u6027\u548c\u201c\u4e0d\u8981\u91cd\u590d\u81ea\u5df1\u201d\u7684\u539f\u5219\uff0c\u4f7f\u5f97\u5f00\u53d1\u8005\u53ef\u4ee5\u4e13\u6ce8\u4e8e\u4e1a\u52a1\u903b\u8f91\u800c\u975e\u6280\u672f\u7ec6\u8282\u3002<\/p>\n<\/p>\n<p><p>\u56db\u3001\u81ea\u52a8\u5316\u4e0e\u811a\u672c\u7f16\u5199<\/p>\n<\/p>\n<p><p>Python\u56e0\u5176\u7b80\u6d01\u6027\u548c\u6613\u7528\u6027\uff0c\u5e38\u88ab\u7528\u4e8e\u7f16\u5199\u81ea\u52a8\u5316\u811a\u672c\uff0c\u63d0\u9ad8\u5de5\u4f5c\u6548\u7387\u3002<\/p>\n<\/p>\n<ol>\n<li><strong>\u81ea\u52a8\u5316\u7cfb\u7edf\u4efb\u52a1<\/strong><\/li>\n<\/ol>\n<p><p>Python\u53ef\u4ee5\u901a\u8fc7\u6807\u51c6\u5e93\u4e2d\u7684os\u548csubprocess\u6a21\u5757\u4e0e\u64cd\u4f5c\u7cfb\u7edf\u8fdb\u884c\u4ea4\u4e92\uff0c\u6267\u884c\u7cfb\u7edf\u547d\u4ee4\u3002\u8fd9\u4f7f\u5f97Python\u53ef\u4ee5\u81ea\u52a8\u5316\u6267\u884c\u5907\u4efd\u3001\u6587\u4ef6\u5904\u7406\u3001\u7cfb\u7edf\u76d1\u63a7\u7b49\u4efb\u52a1\uff0c\u51cf\u5c11\u4eba\u4e3a\u9519\u8bef\uff0c\u63d0\u9ad8\u6548\u7387\u3002<\/p>\n<\/p>\n<ol start=\"2\">\n<li><strong>Web\u6570\u636e\u6293\u53d6<\/strong><\/li>\n<\/ol>\n<p><p>Python\u4e2d\u7684Beautiful Soup\u548cScrapy\u5e93\u4f7f\u5f97Web\u6570\u636e\u6293\u53d6\u53d8\u5f97\u7b80\u5355\u3002Beautiful Soup\u7528\u4e8e\u89e3\u6790HTML\u6587\u6863\uff0c\u5e76\u63d0\u53d6\u6570\u636e\uff0c\u800cScrapy\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u722c\u866b\u6846\u67b6\uff0c\u9002\u7528\u4e8e\u590d\u6742\u7684Web\u6293\u53d6\u4efb\u52a1\u3002\u901a\u8fc7\u8fd9\u4e9b\u5de5\u5177\uff0cPython\u80fd\u591f\u4ece\u4e92\u8054\u7f51\u4e0a\u81ea\u52a8\u6536\u96c6\u6570\u636e\uff0c\u7528\u4e8e\u8fdb\u4e00\u6b65\u7684\u5206\u6790\u548c\u5e94\u7528\u3002<\/p>\n<\/p>\n<p><p>\u4e94\u3001\u6e38\u620f\u5f00\u53d1\u4e0e\u56fe\u5f62\u754c\u9762<\/p>\n<\/p>\n<p><p>Python\u5728\u6e38\u620f\u5f00\u53d1\u548c\u56fe\u5f62\u754c\u9762\u8bbe\u8ba1\u4e2d\u4e5f\u6709\u5176\u72ec\u7279\u7684\u5e94\u7528\uff0c\u63d0\u4f9b\u4e86\u591a\u79cd\u5e93\u548c\u5de5\u5177\u652f\u6301\u3002<\/p>\n<\/p>\n<ol>\n<li><strong>\u6e38\u620f\u5f00\u53d1<\/strong><\/li>\n<\/ol>\n<p><p>Pygame\u662fPython\u4e2d\u6700\u5e38\u7528\u7684\u6e38\u620f\u5f00\u53d1\u5e93\uff0c\u63d0\u4f9b\u4e86\u6e38\u620f\u5f00\u53d1\u6240\u9700\u7684\u57fa\u672c\u529f\u80fd\uff0c\u5982\u56fe\u50cf\u5904\u7406\u3001\u58f0\u97f3\u64ad\u653e\u3001\u4e8b\u4ef6\u5904\u7406\u7b49\u3002\u901a\u8fc7Pygame\uff0c\u5f00\u53d1\u8005\u53ef\u4ee5\u5feb\u901f\u521b\u5efa2D\u6e38\u620f\uff0c\u9002\u5408\u521d\u5b66\u8005\u548c\u5c0f\u578b\u6e38\u620f\u9879\u76ee\u3002<\/p>\n<\/p>\n<ol start=\"2\">\n<li><strong>\u56fe\u5f62\u7528\u6237\u754c\u9762\uff08GUI\uff09\u5f00\u53d1<\/strong><\/li>\n<\/ol>\n<p><p>Tkinter\u662fPython\u7684\u6807\u51c6GUI\u5e93\uff0c\u9002\u7528\u4e8e\u521b\u5efa\u7b80\u5355\u7684\u684c\u9762\u5e94\u7528\u3002\u5bf9\u4e8e\u66f4\u590d\u6742\u7684\u5e94\u7528\uff0cPyQt\u548cKivy\u662f\u66f4\u5f3a\u5927\u7684\u9009\u62e9\u3002PyQt\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u754c\u9762\u7ec4\u4ef6\u548c\u826f\u597d\u7684\u8de8\u5e73\u53f0\u652f\u6301\uff0c\u800cKivy\u5219\u4e13\u6ce8\u4e8e\u591a\u70b9\u89e6\u63a7\u5e94\u7528\u548c\u73b0\u4ee3\u7528\u6237\u754c\u9762\u8bbe\u8ba1\u3002<\/p>\n<\/p>\n<p><p>\u516d\u3001\u7269\u8054\u7f51\u4e0e\u5d4c\u5165\u5f0f\u7cfb\u7edf<\/p>\n<\/p>\n<p><p>Python\u5728\u7269\u8054\u7f51\u548c\u5d4c\u5165\u5f0f\u7cfb\u7edf\u4e2d\u4e5f\u5c55\u73b0\u4e86\u5176\u7075\u6d3b\u6027\uff0c\u7279\u522b\u662f\u5728\u5feb\u901f\u539f\u578b\u5f00\u53d1\u548c\u6d4b\u8bd5\u9636\u6bb5\u3002<\/p>\n<\/p>\n<ol>\n<li><strong>Raspberry Pi<\/strong><\/li>\n<\/ol>\n<p><p>Raspberry Pi\u662f\u4e00\u6b3e\u5e7f\u6cdb\u4f7f\u7528\u7684\u5355\u677f\u8ba1\u7b97\u673a\uff0cPython\u5728\u5176\u4e0a\u5f97\u5230\u4e86\u5e7f\u6cdb\u5e94\u7528\u3002\u901a\u8fc7Python\uff0c\u5f00\u53d1\u8005\u53ef\u4ee5\u63a7\u5236\u786c\u4ef6\u63a5\u53e3\uff0c\u8fdb\u884c\u4f20\u611f\u5668\u6570\u636e\u91c7\u96c6\u548c\u8bbe\u5907\u63a7\u5236\uff0c\u9002\u5408\u7269\u8054\u7f51\u9879\u76ee\u7684\u5feb\u901f\u5f00\u53d1\u3002<\/p>\n<\/p>\n<ol start=\"2\">\n<li><strong>MicroPython<\/strong><\/li>\n<\/ol>\n<p><p>MicroPython\u662fPython\u7684\u4e00\u4e2a\u7cbe\u7b80\u7248\u672c\uff0c\u4e13\u4e3a\u5fae\u63a7\u5236\u5668\u8bbe\u8ba1\u3002\u5b83\u80fd\u5728\u8d44\u6e90\u6709\u9650\u7684\u8bbe\u5907\u4e0a\u8fd0\u884cPython\u4ee3\u7801\uff0c\u9002\u7528\u4e8e\u5d4c\u5165\u5f0f\u5f00\u53d1\u3002MicroPython\u7684\u51fa\u73b0\u4f7f\u5f97Python\u5728\u66f4\u5e7f\u6cdb\u7684\u786c\u4ef6\u73af\u5883\u4e2d\u5f97\u4ee5\u5e94\u7528\u3002<\/p>\n<\/p>\n<p><p>\u4e03\u3001\u91d1\u878d\u79d1\u6280\u4e0e\u533a\u5757\u94fe<\/p>\n<\/p>\n<p><p>Python\u5728\u91d1\u878d\u79d1\u6280\u548c\u533a\u5757\u94fe\u9886\u57df\u7684\u5e94\u7528\u65e5\u76ca\u5e7f\u6cdb\uff0c\u5f97\u76ca\u4e8e\u5176\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u80fd\u529b\u548c\u4e30\u5bcc\u7684\u5e93\u652f\u6301\u3002<\/p>\n<\/p>\n<ol>\n<li><strong>\u91d1\u878d\u79d1\u6280<\/strong><\/li>\n<\/ol>\n<p><p>Python\u5728\u91d1\u878d\u79d1\u6280\u4e2d\u4e3b\u8981\u7528\u4e8e\u7b97\u6cd5\u4ea4\u6613\u3001\u98ce\u9669\u7ba1\u7406\u548c\u6570\u636e\u5206\u6790\u3002QuantLib\u548cZipline\u662fPython\u4e2d\u5e38\u7528\u7684\u91d1\u878d\u5206\u6790\u5e93\uff0c\u5e2e\u52a9\u5f00\u53d1\u8005\u5b9e\u73b0\u590d\u6742\u7684\u91d1\u878d\u6a21\u578b\u548c\u4ea4\u6613\u7b56\u7565\u3002<\/p>\n<\/p>\n<ol start=\"2\">\n<li><strong>\u533a\u5757\u94fe\u5f00\u53d1<\/strong><\/li>\n<\/ol>\n<p><p>Python\u5728\u533a\u5757\u94fe\u5f00\u53d1\u4e2d\u4e5f\u6709\u5176\u5e94\u7528\uff0c\u5982\u667a\u80fd\u5408\u7ea6\u7684\u7f16\u5199\u548c\u533a\u5757\u94fe\u5e94\u7528\u7684\u5f00\u53d1\u3002Web3.py\u662f\u4e00\u4e2a\u4e0e\u4ee5\u592a\u574a\u533a\u5757\u94fe\u4ea4\u4e92\u7684Python\u5e93\uff0c\u4f7f\u5f97\u5f00\u53d1\u8005\u53ef\u4ee5\u8f7b\u677e\u5b9e\u73b0\u53bb\u4e2d\u5fc3\u5316\u5e94\u7528\u3002<\/p>\n<\/p>\n<p><p>\u901a\u8fc7\u4ee5\u4e0a\u5bf9Python\u5728\u4e0d\u540c\u9886\u57df\u5e94\u7528\u7684\u8be6\u7ec6\u63a2\u8ba8\uff0c\u53ef\u4ee5\u770b\u51faPython\u5728\u73b0\u4ee3\u7f16\u7a0b\u4e2d\u7684\u91cd\u8981\u5730\u4f4d\u3002\u5176\u7b80\u5355\u6613\u7528\u3001\u529f\u80fd\u5f3a\u5927\u7684\u7279\u6027\uff0c\u4f7f\u5f97Python\u6210\u4e3a\u5404\u884c\u5404\u4e1a\u7684\u5f00\u53d1\u8005\u548c\u4f01\u4e1a\u7684\u9996\u9009\u8bed\u8a00\u3002\u65e0\u8bba\u662f\u6570\u636e\u5206\u6790\u3001\u4eba\u5de5\u667a\u80fd\u3001Web\u5f00\u53d1\u8fd8\u662f\u81ea\u52a8\u5316\u811a\u672c\uff0cPython\u90fd\u80fd\u63d0\u4f9b\u6709\u6548\u7684\u89e3\u51b3\u65b9\u6848\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>Python\u8bed\u8a00\u5728\u5b9e\u9645\u9879\u76ee\u4e2d\u6709\u54ea\u4e9b\u5e38\u89c1\u5e94\u7528\u573a\u666f\uff1f<\/strong><br \/>Python\u56e0\u5176\u7b80\u6d01\u6613\u8bfb\u7684\u8bed\u6cd5\u548c\u5f3a\u5927\u7684\u5e93\u652f\u6301\uff0c\u5728\u591a\u4e2a\u9886\u57df\u6709\u5e7f\u6cdb\u5e94\u7528\u3002\u5e38\u89c1\u7684\u5e94\u7528\u573a\u666f\u5305\u62ec\u6570\u636e\u5206\u6790\u4e0e\u53ef\u89c6\u5316\u3001\u673a\u5668\u5b66\u4e60\u4e0e\u4eba\u5de5\u667a\u80fd\u3001Web\u5f00\u53d1\u3001\u81ea\u52a8\u5316\u811a\u672c\u3001\u7f51\u7edc\u722c\u866b\u3001\u6e38\u620f\u5f00\u53d1\u4ee5\u53ca\u79d1\u5b66\u8ba1\u7b97\u7b49\u3002\u5f00\u53d1\u8005\u53ef\u4ee5\u5229\u7528\u50cfPandas\u3001NumPy\u3001TensorFlow\u3001Flask\u7b49\u6846\u67b6\u548c\u5e93\u6765\u5b9e\u73b0\u5404\u79cd\u529f\u80fd\u3002<\/p>\n<p><strong>\u5bf9\u4e8e\u521d\u5b66\u8005\uff0c\u5982\u4f55\u9009\u62e9\u5408\u9002\u7684Python\u5b9e\u8df5\u9879\u76ee\uff1f<\/strong><br \/>\u9009\u62e9\u5b9e\u8df5\u9879\u76ee\u65f6\uff0c\u521d\u5b66\u8005\u53ef\u4ee5\u8003\u8651\u4e2a\u4eba\u5174\u8da3\u548c\u804c\u4e1a\u76ee\u6807\u3002\u5efa\u8bae\u4ece\u7b80\u5355\u7684\u9879\u76ee\u5f00\u59cb\uff0c\u6bd4\u5982\u7f16\u5199\u4e00\u4e2a\u8ba1\u7b97\u5668\u3001\u4e2a\u4eba\u8bb0\u8d26\u672c\u6216\u5c0f\u578bWeb\u5e94\u7528\u3002\u8fd9\u4e9b\u9879\u76ee\u80fd\u591f\u5e2e\u52a9\u4f60\u638c\u63e1Python\u7684\u57fa\u7840\u77e5\u8bc6\uff0c\u9010\u6b65\u6df1\u5165\u5230\u66f4\u590d\u6742\u7684\u5e94\u7528\uff0c\u5982\u6570\u636e\u5206\u6790\u3001\u7f51\u7edc\u722c\u866b\u7b49\u3002\u53ef\u4ee5\u53c2\u8003\u5f00\u6e90\u9879\u76ee\u6216\u5728\u7ebf\u6559\u7a0b\uff0c\u83b7\u53d6\u7075\u611f\u548c\u6307\u5bfc\u3002<\/p>\n<p><strong>\u5982\u4f55\u6709\u6548\u5730\u5728\u56e2\u961f\u4e2d\u5e94\u7528Python\u8fdb\u884c\u534f\u4f5c\u5f00\u53d1\uff1f<\/strong><br \/>\u5728\u56e2\u961f\u534f\u4f5c\u4e2d\uff0c\u4f7f\u7528\u7248\u672c\u63a7\u5236\u5de5\u5177\uff08\u5982Git\uff09\u662f\u975e\u5e38\u91cd\u8981\u7684\uff0c\u53ef\u4ee5\u5e2e\u52a9\u56e2\u961f\u6210\u5458\u7ba1\u7406\u4ee3\u7801\u66f4\u6539\u5e76\u786e\u4fdd\u4ee3\u7801\u7684\u7a33\u5b9a\u6027\u3002\u6b64\u5916\uff0c\u91c7\u7528<a href=\"https:\/\/docs.pingcode.com\/code-review\" target=\"_blank\">\u4ee3\u7801\u5ba1\u67e5<\/a>\u548c\u6587\u6863\u5316\u7684\u65b9\u5f0f\uff0c\u53ef\u4ee5\u63d0\u5347\u4ee3\u7801\u8d28\u91cf\u548c\u53ef\u8bfb\u6027\u3002\u5229\u7528Python\u7684\u865a\u62df\u73af\u5883\u7ba1\u7406\u5de5\u5177\uff08\u5982venv\u6216conda\uff09\u53ef\u4ee5\u786e\u4fdd\u6bcf\u4e2a\u5f00\u53d1\u8005\u5728\u76f8\u540c\u7684\u73af\u5883\u4e2d\u5de5\u4f5c\uff0c\u51cf\u5c11\u56e0\u4f9d\u8d56\u95ee\u9898\u5bfc\u81f4\u7684\u9519\u8bef\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u8bed\u8a00\u5728\u5b9e\u8df5\u4e2d\u7684\u5e94\u7528\u975e\u5e38\u5e7f\u6cdb\uff0c\u5305\u62ec\u6570\u636e\u5206\u6790\u3001\u4eba\u5de5\u667a\u80fd\u3001\u7f51\u7edc\u5f00\u53d1\u3001\u81ea\u52a8\u5316\u811a\u672c\u7b49\u591a\u4e2a\u9886\u57df\u3002\u5176\u7b80\u5355\u6613\u5b66\u3001\u5f3a [&hellip;]","protected":false},"author":3,"featured_media":1014205,"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\/1014198"}],"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=1014198"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1014198\/revisions"}],"predecessor-version":[{"id":1014207,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1014198\/revisions\/1014207"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1014205"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1014198"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1014198"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1014198"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}