{"id":150017,"date":"2024-05-06T10:52:56","date_gmt":"2024-05-06T02:52:56","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/150017.html"},"modified":"2024-05-06T10:53:00","modified_gmt":"2024-05-06T02:53:00","slug":"python%e7%94%a8%e5%9c%a8%e5%93%aa%e9%87%8c","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/150017.html","title":{"rendered":"python\u7528\u5728\u54ea\u91cc"},"content":{"rendered":"

\"python\u7528\u5728\u54ea\u91cc\"<\/p>\n

Python\u662f\u4e00\u79cd\u5e7f\u6cdb\u7528\u4e8e\u8ba1\u7b97\u673a\u7f16\u7a0b\u3001\u7f51\u7edc\u5f00\u53d1\u3001\u81ea\u52a8\u5316\u811a\u672c\u3001\u6570\u636e\u5206\u6790\u3001\u4eba\u5de5\u667a\u80fd<\/a>\u548c\u79d1\u5b66\u8ba1\u7b97<\/strong>\u7b49\u591a\u4e2a\u9886\u57df\u7684\u9ad8\u7ea7\u7f16\u7a0b\u8bed\u8a00\u3002\u5176\u4e2d\uff0c\u6570\u636e\u5206\u6790\u9886\u57df\u5c24\u5176\u53d7\u76ca\u4e8ePython\u7684\u5f3a\u5927\u529f\u80fd\uff0c\u56e0\u4e3aPython\u62e5\u6709\u4e30\u5bcc\u7684\u6570\u636e\u5904\u7406\u5e93\uff08\u5982Pandas\uff09\u548c\u6570\u636e\u53ef\u89c6\u5316\u5de5\u5177\uff08\u5982Matplotlib and Seaborn\uff09\uff0c\u53ef\u4ee5\u5e2e\u52a9\u5206\u6790\u5e08\u4ece\u5927\u89c4\u6a21\u6570\u636e\u96c6\u4e2d\u63d0\u53d6\u6d1e\u5bdf\u529b\u5e76\u5448\u73b0\u6709\u610f\u4e49\u7684\u4fe1\u606f\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u8ba1\u7b97\u673a\u7f16\u7a0b\u548c\u7f51\u7edc\u5f00\u53d1<\/p>\n

Python\u4ee5\u5176\u7b80\u6d01\u7684\u8bed\u6cd5\u548c\u5f3a\u5927\u7684\u6807\u51c6\u5e93\u800c\u8457\u79f0\uff0c\u8fd9\u4f7f\u5b83\u6210\u4e3a\u4e86\u521d\u5b66\u8005\u548c\u4e13\u4e1a\u5f00\u53d1\u4eba\u5458\u5e7f\u6cdb\u4f7f\u7528\u7684\u7f16\u7a0b\u5de5\u5177\u3002Python\u7684\u5305\u7ba1\u7406\u5668Pip\u548c\u5927\u91cf\u5f00\u6e90\u5e93\u4f7f\u5f97\u5f00\u53d1\u5404\u79cd\u5e94\u7528\u7a0b\u5e8f\u53d8\u5f97\u975e\u5e38\u5bb9\u6613\u3002<\/p>\n<\/p>\n

\u8ba1\u7b97\u673a\u7f16\u7a0b\u4e2d\uff0cPython\u7ecf\u5e38\u88ab\u7528\u4e8e\u540e\u7aef\u5f00\u53d1\uff0c\u6846\u67b6\u5982Flask\u548cDjango\u8ba9\u5f00\u53d1\u8005\u80fd\u5feb\u901f\u642d\u5efaweb\u5e94\u7528\u7684\u540e\u7aef\u670d\u52a1\u3002\u7f51\u7edc\u5f00\u53d1\u65b9\u9762\uff0c\u5b83\u63d0\u4f9b\u4e86\u5982socket\u7b49\u6a21\u5757\uff0c\u5141\u8bb8\u5f00\u53d1\u8005\u5b9e\u73b0\u4f4e\u7ea7\u7f51\u7edc\u4ea4\u4e92\uff0c\u7f16\u5199\u5ba2\u6237\u7aef\u548c\u670d\u52a1\u5668\u7a0b\u5e8f\u3002<\/p>\n<\/p>\n

\u4e8c\u3001\u81ea\u52a8\u5316\u811a\u672c<\/p>\n

Python\u5f3a\u5927\u7684\u811a\u672c\u80fd\u529b\u4f7f\u5176\u6210\u4e3a\u81ea\u52a8\u5316\u4efb\u52a1\u7684\u7406\u60f3\u9009\u62e9\u3002\u65e0\u8bba\u662f\u7b80\u5355\u7684\u65e5\u5e38\u4efb\u52a1\u81ea\u52a8\u5316\uff0c\u8fd8\u662f\u590d\u6742\u7684\u7cfb\u7edf\u7ba1\u7406\uff0cPython\u7684\u6807\u51c6\u5e93\u548c\u7b2c\u4e09\u65b9\u6a21\u5757\u90fd\u80fd\u63d0\u4f9b\u5fc5\u8981\u7684\u5de5\u5177\u3002<\/p>\n<\/p>\n

\u811a\u672c\u7f16\u5199\u901a\u5e38\u6d89\u53ca\u6587\u4ef6\u64cd\u4f5c\u3001\u7cfb\u7edf\u547d\u4ee4\u6267\u884c\u548c\u7f51\u7edc\u4efb\u52a1\uff0cPython\u7684os\u3001sys\u548csubprocess\u7b49\u6a21\u5757\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u63a5\u53e3\u5904\u7406\u8fd9\u4e9b\u9700\u6c42\u3002\u4ee5\u81ea\u52a8\u5316\u6d4b\u8bd5\u4e3a\u4f8b\uff0cSelenium\u7b49\u5de5\u5177\u7684Python\u7ed1\u5b9a\u53ef\u4ee5\u5e2e\u52a9\u6d4b\u8bd5\u5de5\u7a0b\u5e08\u7f16\u5199\u81ea\u52a8\u5316\u6d4b\u8bd5\u811a\u672c\u3002<\/p>\n<\/p>\n

\u4e09\u3001\u6570\u636e\u5206\u6790<\/p>\n

Python\u5728\u6570\u636e\u5206\u6790\u9886\u57df\u975e\u5e38\u6d41\u884c\u3002Pandas\u8fd9\u4e2a\u6570\u636e\u5206\u6790\u5e93\u63d0\u4f9b\u4e86\u6613\u4e8e\u4f7f\u7528\u7684\u6570\u636e\u7ed3\u6784\u548c\u6570\u636e\u5206\u6790\u5de5\u5177\u3002\u53e6\u5916\uff0cNumPy\u5e93\u63d0\u4f9b\u4e86\u5bf9\u5927\u578b\u591a\u7ef4\u6570\u7ec4\u548c\u77e9\u9635\u7684\u652f\u6301\uff0c\u4ee5\u53ca\u4e00\u4e2a\u5927\u91cf\u7684\u6570\u5b66\u51fd\u6570\u5e93\u6765\u64cd\u4f5c\u8fd9\u4e9b\u6570\u636e\u7ed3\u6784\u3002<\/p>\n<\/p>\n

\u6570\u636e\u5206\u6790\u8fc7\u7a0b\u5305\u62ec\u6570\u636e\u6e05\u6d17\u3001\u6570\u636e\u8f6c\u6362\u3001\u7edf\u8ba1\u5206\u6790\u548c\u6570\u636e\u53ef\u89c6\u5316\u3002\u4f7f\u7528Python\u8fdb\u884c\u6570\u636e\u5206\u6790\u53ef\u4ee5\u901a\u8fc7matplotlib\u3001seaborn\u7b49\u5e93\u521b\u5efa\u76f4\u89c2\u7684\u56fe\u8868\u548c\u6a21\u578b\uff0c\u5f97\u5230\u6df1\u5165\u6d1e\u5bdf\u3002<\/p>\n<\/p>\n

\u56db\u3001\u4eba\u5de5\u667a\u80fd\u548c\u673a\u5668\u5b66\u4e60<\/p>\n

Python\u662f\u4eba\u5de5\u667a\u80fd(AI<\/a>)\u548c\u673a\u5668\u5b66\u4e60<\/a>(ML)\u9879\u76ee\u4e2d\u4f7f\u7528\u6700\u4e3a\u5e7f\u6cdb\u7684\u8bed\u8a00\u4e4b\u4e00\u3002\u5f3a\u5927\u7684\u5e93\u5982TensorFlow\u3001Keras\u548cPyTorch\u4f7f\u5f97\u6784\u5efa\u548c\u8bad\u7ec3\u590d\u6742\u7684\u673a\u5668\u5b66\u4e60\u6a21\u578b\u53d8\u5f97\u53ef\u884c\u3002<\/p>\n<\/p>\n

\u5728AI\u9886\u57df\uff0cPython\u7684\u5e94\u7528\u5305\u62ec\u81ea\u7136\u8bed\u8a00\u5904\u7406\u3001\u56fe\u50cf\u8bc6\u522b\u3001\u8bed\u97f3\u8bc6\u522b\u7b49\u3002\u8fd9\u4e9b\u9886\u57df\u7684\u7814\u7a76\u548c\u5f00\u53d1\u901a\u5e38\u8981\u6c42\u5904\u7406\u5927\u91cf\u7684\u6570\u636e\u548c\u590d\u6742\u7684\u6570\u5b66\u8fd0\u7b97\uff0c\u8fd9\u6b63\u662fPython\u64c5\u957f\u7684\u3002<\/p>\n<\/p>\n

\u4e94\u3001\u79d1\u5b66\u8ba1\u7b97\u548c\u6559\u80b2<\/p>\n

\u79d1\u5b66\u8ba1\u7b97\u662fPython\u53e6\u4e00\u4e2a\u5f3a\u9879\uff0cSciPy\u3001Matplotlib\u548c\u5176\u4ed6\u4e13\u95e8\u7684\u5e93\u652f\u6301\u4ece\u751f\u7269\u4fe1\u606f\u5b66\u5230\u5929\u6587\u5b66\u7684\u9ad8\u7ea7\u79d1\u5b66\u8ba1\u7b97\u9700\u6c42\u3002Python\u540c\u65f6\u4e5f\u662f\u4e00\u4e2a\u6d41\u884c\u7684\u6559\u5b66\u8bed\u8a00\uff0cPython\u7b80\u5355\u7684\u8bed\u6cd5\u548c\u4e30\u5bcc\u7684\u8d44\u6e90\u4f7f\u5176\u6210\u4e3a\u5b9e\u9a8c\u5ba4\u548c\u7814\u7a76\u73af\u5883\u7684\u9996\u9009\u3002<\/p>\n<\/p>\n

\u5728\u6559\u80b2\u9886\u57df\uff0cPython\u901a\u5e38\u4f5c\u4e3a\u7f16\u7a0b\u548c\u8ba1\u7b97\u601d\u7ef4\u5165\u95e8\u7684\u5de5\u5177\u3002\u8fd9\u4e0d\u4ec5\u4ec5\u5728\u8ba1\u7b97\u673a\u79d1\u5b66\u9886\u57df\u6d41\u884c\uff0c\u5728\u8bb8\u591a\u5176\u4ed6STEM\uff08\u79d1\u5b66\u3001\u6280\u672f\u3001\u5de5\u7a0b\u3001\u6570\u5b66\uff09\u9886\u57df\u4e5f\u662f\u5982\u6b64\u3002<\/p>\n<\/p>\n

\u516d\u3001\u5d4c\u5165\u5f0f\u548c\u7269\u8054\u7f51<\/p>\n

Python\u8fd8\u5728\u5d4c\u5165\u5f0f\u7cfb\u7edf\u548c\u7269\u8054\u7f51(IoT)\u9886\u57df\u4e2d\u5360\u6709\u4e00\u5e2d\u4e4b\u5730\u3002\u5fae\u578b\u8ba1\u7b97\u673a\u5982Raspberry Pi\u548cMicroPython\u5145\u5206\u5229\u7528\u4e86Python\u7684\u7b80\u5355\u6027\u548c\u7075\u6d3b\u6027\uff0c\u5141\u8bb8\u5f00\u53d1\u8005\u8f7b\u677e\u521b\u5efa\u667a\u80fd\u8bbe\u5907\u548cIoT\u5e94\u7528\u3002<\/p>\n<\/p>\n

\u5728\u7269\u8054\u7f51\u9886\u57df\uff0cPython\u88ab\u7528\u6765\u7f16\u5199\u8bbe\u5907\u95f4\u7684\u901a\u8baf\u534f\u8bae\uff0c\u63a7\u5236\u4f20\u611f\u5668\u548c\u6267\u884c\u6570\u636e\u5904\u7406\u3002\u4e0eC\u548cC++\u8fd9\u4e9b\u4f20\u7edf\u5d4c\u5165\u5f0f\u7f16\u7a0b\u8bed\u8a00\u76f8\u6bd4\uff0cPython\u63d0\u4f9b\u4e86\u5feb\u901f\u5f00\u53d1\u7684\u80fd\u529b\uff0c\u867d\u7136\u5728\u6027\u80fd\u65b9\u9762\u53ef\u80fd\u8981\u7a0d\u900a\u4e00\u7b79\u3002<\/p>\n<\/p>\n

\u7efc\u4e0a\u6240\u8ff0\uff0cPython\u7684\u5e94\u7528\u8303\u56f4\u5341\u5206\u5e7f\u6cdb\uff0c\u4ece\u521d\u5b66\u8005\u5230\u4e13\u4e1a\u5f00\u53d1\u8005\uff0c\u4ece\u7b80\u5355\u7684\u811a\u672c\u5230\u590d\u6742\u7684\u7cfb\u7edf\uff0c\u5176\u6240\u9700\u5de5\u5177\u548c\u5e93\u7684\u652f\u6301\u90fd\u4f7f\u5f97\u5b83\u6210\u4e3a\u4e00\u4e2a\u529f\u80fd\u5168\u9762\u3001\u7075\u6d3b\u591a\u53d8\u7684\u7f16\u7a0b\u5de5\u5177\u7bb1\u3002<\/p>\n<\/p>\n

\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n

Python\u9002\u7528\u4e8e\u54ea\u4e9b\u9886\u57df\uff1f<\/strong><\/p>\n

    \n
  1. \n

    Web\u5f00\u53d1<\/strong> – Python\u88ab\u5e7f\u6cdb\u7528\u4e8e\u5f00\u53d1Web\u5e94\u7528\u7a0b\u5e8f\u3002\u5b83\u5177\u6709\u5f3a\u5927\u7684Web\u6846\u67b6\uff08\u5982Django\u548cFlask\uff09\uff0c\u53ef\u4ee5\u5feb\u901f\u6784\u5efa\u53ef\u6269\u5c55\u7684\u7f51\u7ad9\u548cWeb\u5e94\u7528\u3002<\/p>\n<\/li>\n

  2. \n

    \u6570\u636e\u5206\u6790\u548c\u79d1\u5b66<\/strong> – Python\u662f\u6570\u636e\u79d1\u5b66\u5bb6\u548c\u5206\u6790\u5e08\u7684\u9996\u9009\u8bed\u8a00\u4e4b\u4e00\u3002\u5b83\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u5e93\uff08\u5982NumPy\u548cPandas\uff09\uff0c\u4ee5\u53ca\u53ef\u89c6\u5316\u5de5\u5177\uff08\u5982Matplotlib\u548cSeaborn\uff09\uff0c\u4e3a\u6570\u636e\u5206\u6790\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u529f\u80fd\u3002<\/p>\n<\/li>\n

  3. \n

    \u4eba\u5de5\u667a\u80fd\u548c\u673a\u5668\u5b66\u4e60<\/strong> – Python\u5728\u4eba\u5de5\u667a\u80fd\u548c\u673a\u5668\u5b66\u4e60\u9886\u57df\u4e5f\u975e\u5e38\u6d41\u884c\u3002\u5b83\u63d0\u4f9b\u4e86\u8bb8\u591a\u5f3a\u5927\u7684\u673a\u5668\u5b66\u4e60\u5e93\uff08\u5982Scikit-learn\u548cTensorFlow\uff09\uff0c\u4f7f\u5f00\u53d1\u4eba\u5458\u80fd\u591f\u6784\u5efa\u548c\u8bad\u7ec3\u5404\u79cd\u673a\u5668\u5b66\u4e60\u6a21\u578b\u3002<\/p>\n<\/li>\n

  4. \n

    \u81ea\u52a8\u5316\u548c\u811a\u672c\u7f16\u5199<\/strong> – Python\u7684\u6613\u8bfb\u6027\u548c\u7b80\u5355\u6027\u4f7f\u5176\u6210\u4e3a\u81ea\u52a8\u5316\u4efb\u52a1\u548c\u811a\u672c\u7f16\u5199\u7684\u7406\u60f3\u9009\u62e9\u3002\u5b83\u53ef\u4ee5\u5e2e\u52a9\u60a8\u81ea\u52a8\u5316\u91cd\u590d\u6027\u4efb\u52a1\uff0c\u5e76\u63d0\u9ad8\u5de5\u4f5c\u6548\u7387\u3002<\/p>\n<\/li>\n

  5. \n

    \u7f51\u7edc\u722c\u866b<\/strong> – Python\u5728\u7f51\u7edc\u722c\u53d6\u548c\u6570\u636e\u6316\u6398\u65b9\u9762\u4e5f\u975e\u5e38\u6709\u7528\u3002\u5b83\u63d0\u4f9b\u4e86\u8bf8\u5982BeautifulSoup\u548cScrapy\u4e4b\u7c7b\u7684\u5e93\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u4ece\u7f51\u9875\u4e2d\u63d0\u53d6\u6240\u9700\u7684\u6570\u636e\u3002<\/p>\n<\/li>\n<\/ol>\n

    \u603b\u4e4b\uff0cPython\u53ef\u4ee5\u5728\u8bb8\u591a\u9886\u57df\u4e2d\u53d1\u6325\u4f5c\u7528\uff0c\u4eceWeb\u5f00\u53d1\u5230\u6570\u636e\u79d1\u5b66\u3001\u673a\u5668\u5b66\u4e60\u548c\u81ea\u52a8\u5316\u7f16\u7a0b\u7b49\u591a\u4e2a\u65b9\u9762\u90fd\u6709\u5f88\u5f3a\u7684\u5e94\u7528\u4ef7\u503c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u662f\u4e00\u79cd\u5e7f\u6cdb\u7528\u4e8e\u8ba1\u7b97\u673a\u7f16\u7a0b\u3001\u7f51\u7edc\u5f00\u53d1\u3001\u81ea\u52a8\u5316\u811a\u672c\u3001\u6570\u636e\u5206\u6790\u3001\u4eba\u5de5\u667a\u80fd\u548c\u79d1\u5b66\u8ba1\u7b97\u7b49\u591a\u4e2a\u9886\u57df\u7684\u9ad8\u7ea7\u7f16\u7a0b\u8bed […]","protected":false},"author":3,"featured_media":150023,"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\/150017"}],"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=150017"}],"version-history":[{"count":0,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/150017\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/150023"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=150017"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=150017"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=150017"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}