{"id":1158374,"date":"2025-01-13T18:39:57","date_gmt":"2025-01-13T10:39:57","guid":{"rendered":""},"modified":"2025-01-13T18:39:59","modified_gmt":"2025-01-13T10:39:59","slug":"%e5%a6%82%e4%bd%95%e8%af%81%e6%98%8e%e4%bd%a0%e4%bc%9a%e7%94%a8python","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1158374.html","title":{"rendered":"\u5982\u4f55\u8bc1\u660e\u4f60\u4f1a\u7528python"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25200344\/b2bb4894-14ae-4eca-961c-d79ccb2fd863.webp\" alt=\"\u5982\u4f55\u8bc1\u660e\u4f60\u4f1a\u7528python\" \/><\/p>\n<p><p> 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\u5efa\u7acb\u4e2a\u4eba\u9879\u76ee\u7ec4\u5408\u7f51\u7ad9<\/strong><\/p>\n<\/p>\n<p><p>\u5efa\u7acb\u4e00\u4e2a\u4e2a\u4eba\u9879\u76ee\u7ec4\u5408\u7f51\u7ad9\uff0c\u53ef\u4ee5\u5c06\u4f60\u5b8c\u6210\u7684\u6240\u6709\u9879\u76ee\u5c55\u793a\u5728\u4e00\u4e2a\u5730\u65b9\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528\u6d41\u884c\u7684\u5efa\u7ad9\u5de5\u5177\u5982WordPress\u3001Wix\u6216GitHub Pages\u6765\u521b\u5efa\u7f51\u7ad9\u3002\u4f60\u7684\u9879\u76ee\u7ec4\u5408\u7f51\u7ad9\u5e94\u8be5\u5305\u542b\u4ee5\u4e0b\u5185\u5bb9\uff1a<\/p>\n<\/p>\n<ul>\n<li>\u9879\u76ee\u7b80\u4ecb\uff1a\u7b80\u8981\u4ecb\u7ecd\u9879\u76ee\u7684\u76ee\u6807\u3001\u89e3\u51b3\u7684\u95ee\u9898\u548c\u4e3b\u8981\u529f\u80fd\u3002<\/li>\n<li>\u6280\u672f\u6808\uff1a\u5217\u51fa\u4f60\u5728\u9879\u76ee\u4e2d\u4f7f\u7528\u7684\u6280\u672f\u548c\u5de5\u5177\uff0c\u5305\u62ecPython\u5e93\u548c\u6846\u67b6\u3002<\/li>\n<li>\u4ee3\u7801\u94fe\u63a5\uff1a\u63d0\u4f9b\u9879\u76ee\u4ee3\u7801\u7684GitHub\u94fe\u63a5\uff0c\u65b9\u4fbf\u522b\u4eba\u67e5\u770b\u548c\u4e0b\u8f7d\u3002<\/li>\n<li>\u6f14\u793a\u89c6\u9891\uff1a\u5982\u679c\u53ef\u80fd\u7684\u8bdd\uff0c\u5f55\u5236\u4e00\u4e2a\u9879\u76ee\u6f14\u793a\u89c6\u9891\uff0c\u5c55\u793a\u9879\u76ee\u7684\u8fd0\u884c\u6548\u679c\u3002<\/li>\n<\/ul>\n<p><p><strong>1.2 \u5728GitHub\u4e0a\u53d1\u5e03\u9879\u76ee<\/strong><\/p>\n<\/p>\n<p><p>GitHub\u662f\u5c55\u793a\u4ee3\u7801\u548c\u9879\u76ee\u7684\u6700\u4f73\u5e73\u53f0\u4e4b\u4e00\u3002\u4f60\u53ef\u4ee5\u5c06\u4f60\u7684\u9879\u76ee\u4ee3\u7801\u4e0a\u4f20\u5230GitHub\uff0c\u5e76\u6dfb\u52a0\u8be6\u7ec6\u7684README\u6587\u4ef6\uff0c\u8bf4\u660e\u9879\u76ee\u7684\u529f\u80fd\u3001\u5b89\u88c5\u6b65\u9aa4\u548c\u4f7f\u7528\u65b9\u6cd5\u3002\u4f60\u8fd8\u53ef\u4ee5\u4f7f\u7528GitHub\u7684Issues\u548cPull Requests\u529f\u80fd\uff0c\u5c55\u793a\u4f60\u5982\u4f55\u5904\u7406\u95ee\u9898\u548c\u534f\u4f5c\u5f00\u53d1\u3002<\/p>\n<\/p>\n<p><p><strong>1.3 \u53c2\u4e0e\u5f00\u6e90\u9879\u76ee<\/strong><\/p>\n<\/p>\n<p><p>\u53c2\u4e0e\u5f00\u6e90\u9879\u76ee\u4e0d\u4ec5\u80fd\u63d0\u9ad8\u4f60\u7684\u7f16\u7a0b\u6280\u80fd\uff0c\u8fd8\u80fd\u5c55\u793a\u4f60\u7684\u56e2\u961f\u5408\u4f5c\u548c\u95ee\u9898\u89e3\u51b3\u80fd\u529b\u3002\u4f60\u53ef\u4ee5\u5728GitHub\u4e0a\u627e\u5230\u611f\u5174\u8da3\u7684\u5f00\u6e90\u9879\u76ee\uff0c\u9605\u8bfb\u9879\u76ee\u7684\u8d21\u732e\u6307\u5357\uff0c\u5e76\u63d0\u4ea4\u4ee3\u7801\u8d21\u732e\u3002\u53c2\u4e0e\u5f00\u6e90\u9879\u76ee\u7684\u7ecf\u5386\u53ef\u4ee5\u5199\u5728\u4f60\u7684\u7b80\u5386\u4e2d\uff0c\u4f5c\u4e3a\u4f60\u7f16\u7a0b\u80fd\u529b\u7684\u8bc1\u660e\u3002<\/p>\n<\/p>\n<p><h3>\u4e8c\u3001\u53c2\u52a0\u7f16\u7a0b\u6bd4\u8d5b<\/h3>\n<\/p>\n<p><p>\u53c2\u52a0\u7f16\u7a0b\u6bd4\u8d5b\u662f\u5c55\u793a\u4f60\u7f16\u7a0b\u80fd\u529b\u7684\u53e6\u4e00\u79cd\u6709\u6548\u65b9\u5f0f\u3002\u4f60\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u9014\u5f84\u53c2\u52a0\u7f16\u7a0b\u6bd4\u8d5b\uff1a<\/p>\n<\/p>\n<p><p><strong>2.1 \u7ebf\u4e0a\u7f16\u7a0b\u5e73\u53f0<\/strong><\/p>\n<\/p>\n<p><p>\u6709\u5f88\u591a\u7ebf\u4e0a\u7f16\u7a0b\u5e73\u53f0\u63d0\u4f9b\u5404\u79cd\u7f16\u7a0b\u6bd4\u8d5b\u548c\u6311\u6218\uff0c\u5982LeetCode\u3001HackerRank\u3001Codeforces\u548cKaggle\u3002\u8fd9\u4e9b\u5e73\u53f0\u4e0a\u7684\u6bd4\u8d5b\u901a\u5e38\u5206\u4e3a\u4e0d\u540c\u7684\u96be\u5ea6\u7ea7\u522b\uff0c\u4f60\u53ef\u4ee5\u9009\u62e9\u9002\u5408\u81ea\u5df1\u7684\u6bd4\u8d5b\u53c2\u52a0\u3002\u901a\u8fc7\u5728\u6bd4\u8d5b\u4e2d\u53d6\u5f97\u597d\u6210\u7ee9\uff0c\u53ef\u4ee5\u8bc1\u660e\u4f60\u7684\u7f16\u7a0b\u80fd\u529b\u548c\u7b97\u6cd5\u6c34\u5e73\u3002<\/p>\n<\/p>\n<p><p><strong>2.2 \u5b66\u6821\u6216\u793e\u533a\u7684\u7f16\u7a0b\u6bd4\u8d5b<\/strong><\/p>\n<\/p>\n<p><p>\u5f88\u591a\u5b66\u6821\u548c\u793e\u533a\u90fd\u4f1a\u5b9a\u671f\u4e3e\u529e\u7f16\u7a0b\u6bd4\u8d5b\u3002\u4f60\u53ef\u4ee5\u5173\u6ce8\u5b66\u6821\u7684\u8ba1\u7b97\u673a\u79d1\u5b66\u7cfb\u6216\u7f16\u7a0b\u793e\u56e2\uff0c\u4e86\u89e3\u6700\u65b0\u7684\u6bd4\u8d5b\u4fe1\u606f\u3002\u53c2\u52a0\u8fd9\u4e9b\u6bd4\u8d5b\u4e0d\u4ec5\u80fd\u63d0\u9ad8\u4f60\u7684\u7f16\u7a0b\u6c34\u5e73\uff0c\u8fd8\u80fd\u7ed3\u8bc6\u66f4\u591a\u5fd7\u540c\u9053\u5408\u7684\u670b\u53cb\u3002<\/p>\n<\/p>\n<p><p><strong>2.3 \u56fd\u9645\u7f16\u7a0b\u6bd4\u8d5b<\/strong><\/p>\n<\/p>\n<p><p>\u4e00\u4e9b\u56fd\u9645\u77e5\u540d\u7684\u7f16\u7a0b\u6bd4\u8d5b\u5982Google Code Jam\u3001Facebook Hacker Cup\u548cACM-ICPC\u7b49\uff0c\u90fd\u662f\u5c55\u793a\u7f16\u7a0b\u80fd\u529b\u7684\u7edd\u4f73\u5e73\u53f0\u3002\u53c2\u52a0\u8fd9\u4e9b\u6bd4\u8d5b\u4e0d\u4ec5\u80fd\u63d0\u5347\u4f60\u7684\u7f16\u7a0b\u6280\u80fd\uff0c\u8fd8\u80fd\u4e3a\u4f60\u7684\u7b80\u5386\u589e\u8272\u4e0d\u5c11\u3002<\/p>\n<\/p>\n<p><h3>\u4e09\u3001\u901a\u8fc7\u8ba4\u8bc1\u8003\u8bd5<\/h3>\n<\/p>\n<p><p>\u901a\u8fc7Python\u76f8\u5173\u7684\u8ba4\u8bc1\u8003\u8bd5\uff0c\u53ef\u4ee5\u8bc1\u660e\u4f60\u5177\u5907\u4e00\u5b9a\u7684Python\u7f16\u7a0b\u80fd\u529b\u548c\u77e5\u8bc6\u6c34\u5e73\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u77e5\u540d\u7684Python\u8ba4\u8bc1\u8003\u8bd5\uff1a<\/p>\n<\/p>\n<p><p><strong>3.1 Python Institute\u7684PCAP\u8ba4\u8bc1<\/strong><\/p>\n<\/p>\n<p><p>Python Institute\u63d0\u4f9b\u7684PCAP\uff08Certified Associate in Python Programming\uff09\u8ba4\u8bc1\u8003\u8bd5\uff0c\u4e3b\u8981\u8003\u5bdf\u8003\u751f\u5bf9Python\u57fa\u7840\u77e5\u8bc6\u548c\u7f16\u7a0b\u6280\u80fd\u7684\u638c\u63e1\u60c5\u51b5\u3002\u901a\u8fc7\u8fd9\u9879\u8003\u8bd5\uff0c\u53ef\u4ee5\u8bc1\u660e\u4f60\u5177\u5907\u521d\u7ea7\u5230\u4e2d\u7ea7\u7684Python\u7f16\u7a0b\u80fd\u529b\u3002<\/p>\n<\/p>\n<p><p><strong>3.2 Microsoft\u7684MTA Python\u8ba4\u8bc1<\/strong><\/p>\n<\/p>\n<p><p>\u5fae\u8f6f\u6280\u672f\u52a9\u7406\uff08MTA\uff09\u63d0\u4f9b\u7684Python\u7f16\u7a0b\u8ba4\u8bc1\u8003\u8bd5\uff0c\u4e3b\u8981\u8003\u5bdf\u8003\u751f\u5bf9Python\u57fa\u7840\u77e5\u8bc6\u3001\u6570\u636e\u5904\u7406\u548c\u9762\u5411\u5bf9\u8c61\u7f16\u7a0b\u7684\u7406\u89e3\u3002\u901a\u8fc7\u8fd9\u9879\u8003\u8bd5\uff0c\u53ef\u4ee5\u8bc1\u660e\u4f60\u5177\u5907\u624e\u5b9e\u7684Python\u7f16\u7a0b\u57fa\u7840\u3002<\/p>\n<\/p>\n<p><p><strong>3.3 Coursera\u548cedX\u4e0a\u7684Python\u8bfe\u7a0b\u8ba4\u8bc1<\/strong><\/p>\n<\/p>\n<p><p>\u4e00\u4e9b\u77e5\u540d\u7684\u5728\u7ebf\u6559\u80b2\u5e73\u53f0\u5982Coursera\u548cedX\uff0c\u63d0\u4f9b\u7531\u9876\u5c16\u5927\u5b66\u548c\u4f01\u4e1a\u8bbe\u8ba1\u7684Python\u8bfe\u7a0b\u3002\u5b8c\u6210\u8fd9\u4e9b\u8bfe\u7a0b\u5e76\u83b7\u5f97\u8ba4\u8bc1\uff0c\u53ef\u4ee5\u8bc1\u660e\u4f60\u5177\u5907\u4e00\u5b9a\u7684Python\u7f16\u7a0b\u77e5\u8bc6\u548c\u6280\u80fd\u3002<\/p>\n<\/p>\n<p><h3>\u56db\u3001\u5206\u4eab\u4ee3\u7801\u5e93<\/h3>\n<\/p>\n<p><p>\u5206\u4eab\u4ee3\u7801\u5e93\u662f\u5c55\u793a\u4f60\u7f16\u7a0b\u80fd\u529b\u7684\u53e6\u4e00\u79cd\u6709\u6548\u65b9\u5f0f\u3002\u4f60\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u9014\u5f84\u5206\u4eab\u4f60\u7684\u4ee3\u7801\u5e93\uff1a<\/p>\n<\/p>\n<p><p><strong>4.1 \u521b\u5efa\u5f00\u6e90\u9879\u76ee<\/strong><\/p>\n<\/p>\n<p><p>\u521b\u5efa\u5f00\u6e90\u9879\u76ee\u5e76\u53d1\u5e03\u5728GitHub\u4e0a\uff0c\u53ef\u4ee5\u5c55\u793a\u4f60\u72ec\u7acb\u5f00\u53d1\u548c\u7ef4\u62a4\u9879\u76ee\u7684\u80fd\u529b\u3002\u4f60\u53ef\u4ee5\u9009\u62e9\u4e00\u4e2a\u6709\u8da3\u7684\u9879\u76ee\u4e3b\u9898\uff0c\u5982\u6570\u636e\u5206\u6790\u5de5\u5177\u3001\u7f51\u9875\u722c\u866b\u6216<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u6a21\u578b\uff0c\u7f16\u5199\u4ee3\u7801\u5e76\u53d1\u5e03\u5728GitHub\u4e0a\u3002\u901a\u8fc7\u8be6\u7ec6\u7684README\u6587\u4ef6\u548c\u4ee3\u7801\u6ce8\u91ca\uff0c\u8ba9\u522b\u4eba\u4e86\u89e3\u4f60\u7684\u9879\u76ee\u5e76\u53c2\u4e0e\u5176\u4e2d\u3002<\/p>\n<\/p>\n<p><p><strong>4.2 \u5206\u4eab\u4ee3\u7801\u7247\u6bb5<\/strong><\/p>\n<\/p>\n<p><p>\u4f60\u53ef\u4ee5\u5728\u4e00\u4e9b\u4ee3\u7801\u5206\u4eab\u5e73\u53f0\u5982Gist\u3001Pastebin\u548cCodePen\u4e0a\u5206\u4eab\u4f60\u7684\u4ee3\u7801\u7247\u6bb5\u3002\u901a\u8fc7\u5206\u4eab\u6709\u8da3\u548c\u5b9e\u7528\u7684\u4ee3\u7801\u7247\u6bb5\uff0c\u53ef\u4ee5\u5c55\u793a\u4f60\u89e3\u51b3\u5177\u4f53\u95ee\u9898\u7684\u80fd\u529b\u3002\u4f8b\u5982\uff0c\u4f60\u53ef\u4ee5\u5206\u4eab\u4e00\u4e2a\u6570\u636e\u6e05\u6d17\u7684\u4ee3\u7801\u7247\u6bb5\uff0c\u5c55\u793a\u4f60\u5982\u4f55\u4f7f\u7528Pandas\u5e93\u5904\u7406\u6570\u636e\u3002<\/p>\n<\/p>\n<p><p><strong>4.3 \u8d21\u732e\u4ee3\u7801\u5230\u73b0\u6709\u9879\u76ee<\/strong><\/p>\n<\/p>\n<p><p>\u4f60\u53ef\u4ee5\u9009\u62e9\u4e00\u4e9b\u77e5\u540d\u7684\u5f00\u6e90\u9879\u76ee\uff0c\u9605\u8bfb\u9879\u76ee\u7684\u4ee3\u7801\u548c\u6587\u6863\uff0c\u627e\u5230\u53ef\u4ee5\u6539\u8fdb\u7684\u5730\u65b9\uff0c\u5e76\u63d0\u4ea4\u4ee3\u7801\u8d21\u732e\u3002\u901a\u8fc7\u8d21\u732e\u4ee3\u7801\u5230\u73b0\u6709\u9879\u76ee\uff0c\u53ef\u4ee5\u5c55\u793a\u4f60\u7406\u89e3\u548c\u6539\u8fdb\u4ed6\u4eba\u4ee3\u7801\u7684\u80fd\u529b\u3002<\/p>\n<\/p>\n<p><h3>\u4e94\u3001\u64b0\u5199\u6280\u672f\u535a\u5ba2<\/h3>\n<\/p>\n<p><p>\u64b0\u5199\u6280\u672f\u535a\u5ba2\u662f\u5c55\u793a\u4f60\u7f16\u7a0b\u80fd\u529b\u548c\u77e5\u8bc6\u6c34\u5e73\u7684\u53e6\u4e00\u79cd\u6709\u6548\u65b9\u5f0f\u3002\u4f60\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u9014\u5f84\u64b0\u5199\u6280\u672f\u535a\u5ba2\uff1a<\/p>\n<\/p>\n<p><p><strong>5.1 \u521b\u5efa\u4e2a\u4eba\u6280\u672f\u535a\u5ba2<\/strong><\/p>\n<\/p>\n<p><p>\u521b\u5efa\u4e00\u4e2a\u4e2a\u4eba\u6280\u672f\u535a\u5ba2\uff0c\u5b9a\u671f\u53d1\u5e03\u4e0ePython\u76f8\u5173\u7684\u6280\u672f\u6587\u7ae0\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528WordPress\u3001Hexo\u6216Jekyll\u7b49\u535a\u5ba2\u5e73\u53f0\u642d\u5efa\u535a\u5ba2\u3002\u901a\u8fc7\u64b0\u5199\u6280\u672f\u6587\u7ae0\uff0c\u53ef\u4ee5\u5c55\u793a\u4f60\u5bf9Python\u7684\u7406\u89e3\u548c\u5e94\u7528\u80fd\u529b\u3002\u4f60\u53ef\u4ee5\u5199\u4e00\u4e9b\u6559\u7a0b\u3001\u9879\u76ee\u7ecf\u9a8c\u5206\u4eab\u3001\u95ee\u9898\u89e3\u51b3\u65b9\u6848\u7b49\u3002<\/p>\n<\/p>\n<p><p><strong>5.2 \u5728\u77e5\u540d\u6280\u672f\u5e73\u53f0\u6295\u7a3f<\/strong><\/p>\n<\/p>\n<p><p>\u4e00\u4e9b\u77e5\u540d\u7684\u6280\u672f\u5e73\u53f0\u5982Medium\u3001Dev.to\u548cCSDN\uff0c\u63d0\u4f9b\u4e86\u6295\u7a3f\u529f\u80fd\u3002\u4f60\u53ef\u4ee5\u5c06\u4f60\u7684\u6280\u672f\u6587\u7ae0\u53d1\u5e03\u5728\u8fd9\u4e9b\u5e73\u53f0\u4e0a\uff0c\u5438\u5f15\u66f4\u591a\u8bfb\u8005\u548c\u5173\u6ce8\u3002\u901a\u8fc7\u5728\u77e5\u540d\u5e73\u53f0\u4e0a\u53d1\u8868\u6587\u7ae0\uff0c\u53ef\u4ee5\u63d0\u9ad8\u4f60\u7684\u77e5\u540d\u5ea6\u548c\u5f71\u54cd\u529b\u3002<\/p>\n<\/p>\n<p><p><strong>5.3 \u53c2\u4e0e\u6280\u672f\u793e\u533a<\/strong><\/p>\n<\/p>\n<p><p>\u53c2\u4e0e\u4e00\u4e9b\u6280\u672f\u793e\u533a\u5982Stack Overflow\u3001Reddit\u548cQuora\uff0c\u56de\u7b54\u4e0ePython\u76f8\u5173\u7684\u95ee\u9898\u3002\u901a\u8fc7\u56de\u7b54\u95ee\u9898\uff0c\u53ef\u4ee5\u5c55\u793a\u4f60\u89e3\u51b3\u5b9e\u9645\u95ee\u9898\u7684\u80fd\u529b\uff0c\u5e76\u5e2e\u52a9\u4ed6\u4eba\u63d0\u5347\u7f16\u7a0b\u6280\u80fd\u3002<\/p>\n<\/p>\n<p><h3>\u516d\u3001\u5728\u7ebf\u5b66\u4e60\u4e0e\u5b9e\u8df5<\/h3>\n<\/p>\n<p><p>\u901a\u8fc7\u5728\u7ebf\u5b66\u4e60\u5e73\u53f0\u83b7\u53d6\u6280\u80fd\u548c\u5b9e\u8df5\u9879\u76ee\uff0c\u53ef\u4ee5\u8fdb\u4e00\u6b65\u8bc1\u660e\u4f60\u7684Python\u80fd\u529b\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u63a8\u8350\u7684\u5728\u7ebf\u5b66\u4e60\u8d44\u6e90\u548c\u5b9e\u8df5\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n<p><p><strong>6.1 \u5728\u7ebf\u8bfe\u7a0b\u548cMOOCs<\/strong><\/p>\n<\/p>\n<p><p>\u8bb8\u591a\u5728\u7ebf\u6559\u80b2\u5e73\u53f0\u63d0\u4f9b\u9ad8\u8d28\u91cf\u7684Python\u8bfe\u7a0b\u548cMOOCs\uff08Massive Open Online Courses\uff09\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u63a8\u8350\u7684\u8d44\u6e90\uff1a<\/p>\n<\/p>\n<ul>\n<li>Coursera\uff1a\u63d0\u4f9b\u8bb8\u591a\u7531\u9876\u5c16\u5927\u5b66\u548c\u4f01\u4e1a\u8bbe\u8ba1\u7684Python\u8bfe\u7a0b\uff0c\u5982\u201cPython for Everybody\u201d\u7cfb\u5217\u8bfe\u7a0b\u3002<\/li>\n<li>edX\uff1a\u63d0\u4f9b\u7531\u77e5\u540d\u5927\u5b66\u548c\u673a\u6784\u8bbe\u8ba1\u7684Python\u8bfe\u7a0b\uff0c\u5982\u201cIntroduction to Computer Science and Programming Using Python\u201d\u3002<\/li>\n<li>Udacity\uff1a\u63d0\u4f9b\u4e00\u4e9b\u5b9e\u6218\u6027\u5f3a\u7684Python\u8bfe\u7a0b\u548c\u7eb3\u7c73\u5b66\u4f4d\u9879\u76ee\uff0c\u5982\u201cData Analyst Nanodegree\u201d\u3002<\/li>\n<\/ul>\n<p><p><strong>6.2 \u5728\u7ebf\u7ec3\u4e60\u5e73\u53f0<\/strong><\/p>\n<\/p>\n<p><p>\u901a\u8fc7\u5728\u7ebf\u7ec3\u4e60\u5e73\u53f0\u8fdb\u884c\u7f16\u7a0b\u7ec3\u4e60\uff0c\u53ef\u4ee5\u63d0\u9ad8\u4f60\u7684\u7f16\u7a0b\u6280\u80fd\u548c\u7b97\u6cd5\u6c34\u5e73\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u63a8\u8350\u7684\u5728\u7ebf\u7ec3\u4e60\u5e73\u53f0\uff1a<\/p>\n<\/p>\n<ul>\n<li>LeetCode\uff1a\u63d0\u4f9b\u4e30\u5bcc\u7684\u7f16\u7a0b\u9898\u5e93\u548c\u6bd4\u8d5b\uff0c\u6db5\u76d6\u5404\u79cd\u7b97\u6cd5\u548c\u6570\u636e\u7ed3\u6784\u3002<\/li>\n<li>HackerRank\uff1a\u63d0\u4f9b\u5404\u79cd\u7f16\u7a0b\u6311\u6218\u548c\u6bd4\u8d5b\uff0c\u6db5\u76d6\u591a\u4e2a\u7f16\u7a0b\u8bed\u8a00\u548c\u9886\u57df\u3002<\/li>\n<li>Codewars\uff1a\u63d0\u4f9b\u5404\u79cd\u7f16\u7a0b\u7ec3\u4e60\u9898\uff0c\u901a\u8fc7\u5b8c\u6210\u9898\u76ee\u63d0\u5347\u7f16\u7a0b\u6280\u80fd\u3002<\/li>\n<\/ul>\n<p><p><strong>6.3 \u5b9e\u8df5\u9879\u76ee<\/strong><\/p>\n<\/p>\n<p><p>\u901a\u8fc7\u5b8c\u6210\u5b9e\u9645\u9879\u76ee\uff0c\u53ef\u4ee5\u8fdb\u4e00\u6b65\u8bc1\u660e\u4f60\u7684\u7f16\u7a0b\u80fd\u529b\u3002\u4f60\u53ef\u4ee5\u9009\u62e9\u4e00\u4e9b\u6709\u8da3\u548c\u5b9e\u7528\u7684\u9879\u76ee\u4e3b\u9898\uff0c\u5982\u6570\u636e\u5206\u6790\u3001\u7f51\u9875\u722c\u866b\u3001\u673a\u5668\u5b66\u4e60\u6a21\u578b\u7b49\uff0c\u4f7f\u7528Python\u8fdb\u884c\u5f00\u53d1\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u63a8\u8350\u7684\u9879\u76ee\u4e3b\u9898\uff1a<\/p>\n<\/p>\n<ul>\n<li>\u6570\u636e\u5206\u6790\uff1a\u4f7f\u7528Pandas\u548cMatplotlib\u5e93\u8fdb\u884c\u6570\u636e\u6e05\u6d17\u548c\u53ef\u89c6\u5316\u5206\u6790\u3002<\/li>\n<li>\u7f51\u9875\u722c\u866b\uff1a\u4f7f\u7528BeautifulSoup\u548cScrapy\u5e93\u7f16\u5199\u7f51\u9875\u722c\u866b\uff0c\u6536\u96c6\u548c\u5904\u7406\u7f51\u9875\u6570\u636e\u3002<\/li>\n<li>\u673a\u5668\u5b66\u4e60\uff1a\u4f7f\u7528Scikit-learn\u548cTensorFlow\u5e93\u6784\u5efa\u548c\u8bad\u7ec3\u673a\u5668\u5b66\u4e60\u6a21\u578b\uff0c\u89e3\u51b3\u5b9e\u9645\u95ee\u9898\u3002<\/li>\n<\/ul>\n<p><h3>\u4e03\u3001\u53c2\u52a0\u6280\u672f\u4f1a\u8bae\u548c\u8bb2\u5ea7<\/h3>\n<\/p>\n<p><p>\u53c2\u52a0\u6280\u672f\u4f1a\u8bae\u548c\u8bb2\u5ea7\uff0c\u4e0d\u4ec5\u80fd\u63d0\u5347\u4f60\u7684\u6280\u672f\u6c34\u5e73\uff0c\u8fd8\u80fd\u5c55\u793a\u4f60\u7684\u4e13\u4e1a\u80fd\u529b\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u63a8\u8350\u7684\u9014\u5f84\uff1a<\/p>\n<\/p>\n<p><p><strong>7.1 \u53c2\u52a0\u6280\u672f\u4f1a\u8bae<\/strong><\/p>\n<\/p>\n<p><p>\u53c2\u52a0\u4e00\u4e9b\u77e5\u540d\u7684\u6280\u672f\u4f1a\u8bae\uff0c\u5982PyCon\u3001Strata Data Conference\u548cMachine Learning Conference\uff0c\u53ef\u4ee5\u4e86\u89e3\u6700\u65b0\u7684\u6280\u672f\u8d8b\u52bf\u548c\u5b9e\u8df5\u7ecf\u9a8c\u3002\u4f60\u53ef\u4ee5\u901a\u8fc7\u53c2\u52a0\u4f1a\u8bae\uff0c\u7ed3\u8bc6\u66f4\u591a\u7684\u4e13\u4e1a\u4eba\u58eb\uff0c\u5c55\u793a\u4f60\u7684\u6280\u672f\u80fd\u529b\u3002<\/p>\n<\/p>\n<p><p><strong>7.2 \u53c2\u52a0\u6280\u672f\u8bb2\u5ea7<\/strong><\/p>\n<\/p>\n<p><p>\u53c2\u52a0\u4e00\u4e9b\u6280\u672f\u8bb2\u5ea7\u548c\u7814\u8ba8\u4f1a\uff0c\u53ef\u4ee5\u6df1\u5165\u5b66\u4e60\u67d0\u4e2a\u7279\u5b9a\u9886\u57df\u7684\u77e5\u8bc6\u548c\u6280\u80fd\u3002\u4f60\u53ef\u4ee5\u5173\u6ce8\u4e00\u4e9b\u6280\u672f\u793e\u533a\u548c\u7ec4\u7ec7\uff0c\u4e86\u89e3\u6700\u65b0\u7684\u8bb2\u5ea7\u4fe1\u606f\uff0c\u5e76\u79ef\u6781\u53c2\u4e0e\u5176\u4e2d\u3002<\/p>\n<\/p>\n<p><h3>\u516b\u3001\u53c2\u52a0Python\u793e\u533a\u6d3b\u52a8<\/h3>\n<\/p>\n<p><p>\u53c2\u4e0ePython\u793e\u533a\u6d3b\u52a8\uff0c\u53ef\u4ee5\u5c55\u793a\u4f60\u7684\u6280\u672f\u80fd\u529b\u548c\u56e2\u961f\u5408\u4f5c\u7cbe\u795e\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u63a8\u8350\u7684\u9014\u5f84\uff1a<\/p>\n<\/p>\n<p><p><strong>8.1 \u53c2\u52a0Python\u7528\u6237\u7ec4\uff08PUG\uff09<\/strong><\/p>\n<\/p>\n<p><p>Python\u7528\u6237\u7ec4\uff08PUG\uff09\u662f\u7531Python\u7231\u597d\u8005\u7ec4\u6210\u7684\u793e\u533a\u7ec4\u7ec7\uff0c\u5b9a\u671f\u4e3e\u529e\u6280\u672f\u5206\u4eab\u548c\u4ea4\u6d41\u6d3b\u52a8\u3002\u4f60\u53ef\u4ee5\u52a0\u5165\u5f53\u5730\u7684PUG\uff0c\u53c2\u52a0\u4ed6\u4eec\u7684\u6d3b\u52a8\uff0c\u4e0e\u5176\u4ed6Python\u5f00\u53d1\u8005\u4ea4\u6d41\u548c\u5b66\u4e60\u3002<\/p>\n<\/p>\n<p><p><strong>8.2 \u53c2\u52a0\u9ed1\u5ba2\u9a6c\u62c9\u677e<\/strong><\/p>\n<\/p>\n<p><p>\u9ed1\u5ba2\u9a6c\u62c9\u677e\u662f\u4e00\u79cd\u7f16\u7a0b\u6bd4\u8d5b\uff0c\u901a\u5e38\u572848\u5c0f\u65f6\u5185\u5b8c\u6210\u4e00\u4e2a\u9879\u76ee\u3002\u901a\u8fc7\u53c2\u52a0\u9ed1\u5ba2\u9a6c\u62c9\u677e\uff0c\u4f60\u53ef\u4ee5\u5c55\u793a\u4f60\u7684\u7f16\u7a0b\u80fd\u529b\u548c\u56e2\u961f\u5408\u4f5c\u7cbe\u795e\u3002\u4f60\u53ef\u4ee5\u5173\u6ce8\u4e00\u4e9b\u6280\u672f\u793e\u533a\u548c\u7ec4\u7ec7\uff0c\u4e86\u89e3\u6700\u65b0\u7684\u9ed1\u5ba2\u9a6c\u62c9\u677e\u4fe1\u606f\uff0c\u5e76\u79ef\u6781\u53c2\u4e0e\u5176\u4e2d\u3002<\/p>\n<\/p>\n<p><p><strong>8.3 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