{"id":241574,"date":"2024-05-13T16:39:05","date_gmt":"2024-05-13T08:39:05","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/241574.html"},"modified":"2024-05-13T16:39:05","modified_gmt":"2024-05-13T08:39:05","slug":"%e8%87%aa%e5%8a%a8%e5%8c%96%e4%b8%93%e4%b8%9a%e8%a6%81%e5%ad%a6%e4%bb%80%e4%b9%88%e8%af%ad%e8%a8%80","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/241574.html","title":{"rendered":"\u81ea\u52a8\u5316\u4e13\u4e1a\u8981\u5b66\u4ec0\u4e48\u8bed\u8a00"},"content":{"rendered":"

\"\u81ea\u52a8\u5316\u4e13\u4e1a\u8981\u5b66\u4ec0\u4e48\u8bed\u8a00\"<\/p>\n

\u81ea\u52a8\u5316\u4e13\u4e1a\u7684\u5b66\u751f\u5e94\u8be5\u5b66\u4e60Python\u3001C++\u3001MATLAB<\/strong>\u3001\u8fd8\u6709LabVIEW<\/strong>\u3002\u8fd9\u4e9b\u662f\u81ea\u52a8\u5316\u9886\u57df\u4e2d\u5e38\u7528\u4e14\u91cd\u8981\u7684\u7f16\u7a0b\u8bed\u8a00\uff0c\u5b83\u4eec\u5404\u81ea\u6709\u7740\u4e0d\u540c\u7684\u4f18\u52bf\u548c\u5e94\u7528\u573a\u666f\u3002\u4f8b\u5982\uff0cPython<\/strong>\u56e0\u5176\u7b80\u5355\u6613\u5b66\u548c\u5f3a\u5927\u7684\u5e93\u652f\u6301\uff0c\u5728\u6570\u636e\u5206\u6790\u3001\u673a\u5668\u5b66\u4e60<\/a>\u4ee5\u53ca\u7cfb\u7edf\u96c6\u6210\u4e2d\u5e7f\u6cdb\u4f7f\u7528\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u63a2\u8ba8\u6bcf\u79cd\u8bed\u8a00\u5728\u81ea\u52a8\u5316\u9886\u57df\u4e2d\u7684\u5e94\u7528\u548c\u91cd\u8981\u6027\u3002<\/p>\n<\/p>\n

\u4e00\u3001PYTHON<\/h2>\n<\/p>\n

Python\u662f\u4e00\u79cd\u9ad8\u7ea7\u7f16\u7a0b\u8bed\u8a00\uff0c\u4ee5\u5176\u9ad8\u6548\u7684\u53ef\u8bfb\u6027\u548c\u7b80\u6d01\u7684\u8bed\u6cd5\u800c\u8457\u79f0\u3002\u81ea\u52a8\u5316\u4e13\u4e1a\u5b66\u751f\u5b66\u4e60Python\uff0c\u4e3b\u8981\u56e0\u4e3a\u5b83\u5728\u5de5\u4e1a\u81ea\u52a8\u5316\u3001\u6d4b\u8bd5\u81ea\u52a8\u5316\u548c\u8fc7\u7a0b\u81ea\u52a8\u5316\u4e2d\u7684\u5e7f\u6cdb\u5e94\u7528\u3002Python\u7684\u5e93\uff0c\u5982NumPy\u548cPandas\uff0c\u5bf9\u4e8e\u6570\u636e\u5206\u6790\u81f3\u5173\u91cd\u8981\uff0c\u800c\u5e93\u5982Scikit-learn\u548cTensorFlow\u5219\u5728\u673a\u5668\u5b66\u4e60\u9886\u57df\u5360\u4e3b\u5bfc\u5730\u4f4d\u3002<\/p>\n<\/p>\n

\u6570\u636e\u5904\u7406\u4e0e\u5206\u6790<\/h3>\n<\/p>\n

Python\u62e5\u6709\u4f17\u591a\u7684\u6570\u636e\u5206\u6790\u5e93\uff0c\u4f8b\u5982Pandas\u53ef\u4ee5\u8f7b\u677e\u5730\u5904\u7406\u548c\u5206\u6790\u5927\u578b\u6570\u636e\u96c6\u3002\u8fd9\u5728\u81ea\u52a8\u5316\u4e2d\u5f88\u91cd\u8981\uff0c\u56e0\u4e3a\u81ea\u52a8\u5316\u7cfb\u7edf\u5e38\u5e38\u9700\u8981\u5bf9\u5927\u91cf\u7684\u4f20\u611f\u5668\u6570\u636e\u6216\u8005\u751f\u4ea7\u6570\u636e\u8fdb\u884c\u5206\u6790\u3002<\/p>\n<\/p>\n

\u673a\u5668\u5b66\u4e60\u4e0e\u4eba\u5de5\u667a\u80fd<\/a><\/h3>\n<\/p>\n

\u5b66\u4e60Python\u8fd8\u53ef\u4ee5\u8ba9\u81ea\u52a8\u5316\u4e13\u4e1a\u7684\u5b66\u751f\u8e0f\u5165\u673a\u5668\u5b66\u4e60\u4e0e\u4eba\u5de5\u667a\u80fd\u7684\u95e8\u69db\u3002\u901a\u8fc7Python\uff0c\u53ef\u4ee5\u5b9e\u73b0\u81ea\u52a8\u5316\u7cfb\u7edf\u7684\u667a\u80fd\u5316\uff0c\u6bd4\u5982\u4f7f\u7528\u673a\u5668\u89c6\u89c9\u8fdb\u884c\u8d28\u91cf\u68c0\u6d4b\u6216\u8005\u4f7f\u7528\u9884\u6d4b\u6027\u7ef4\u62a4\u6765\u51cf\u5c11\u505c\u673a\u65f6\u95f4\u3002<\/p>\n<\/p>\n

\u4e8c\u3001C++<\/h2>\n<\/p>\n

C++\u662f\u4e00\u95e8\u9ad8\u6548\u7684\u7cfb\u7edf\u7f16\u7a0b\u8bed\u8a00\uff0c\u7ecf\u5e38\u88ab\u7528\u4e8e\u5f00\u53d1\u56fa\u4ef6\u548c\u63a7\u5236\u7cfb\u7edf\u3002\u81ea\u52a8\u5316\u4e13\u4e1a\u7684\u5b66\u751f\u901a\u8fc7\u5b66\u4e60C++\u53ef\u4ee5\u66f4\u597d\u5730\u7406\u89e3\u786c\u4ef6\u5c42\u9762\u548c\u5e95\u5c42\u7f16\u7a0b\u7684\u6982\u5ff5\u3002<\/p>\n<\/p>\n

\u5b9e\u65f6\u7cfb\u7edf\u7f16\u7a0b<\/h3>\n<\/p>\n

C++\u5728\u7f16\u5199\u5b9e\u65f6\u7cfb\u7edf\uff08\u5982\u5de5\u4e1a\u673a\u5668\u4eba\u63a7\u5236\uff09\u65f6\u5341\u5206\u5173\u952e\u3002\u8fd9\u4e9b\u7cfb\u7edf\u8981\u6c42\u4ee3\u7801\u5fc5\u987b\u662f\u9ad8\u6027\u80fd\u548c\u5feb\u901f\u54cd\u5e94\uff0cC++\u7684\u9ad8\u8fd0\u884c\u6548\u7387\u5728\u8fd9\u91cc\u663e\u5f97\u5c24\u4e3a\u91cd\u8981\u3002<\/p>\n<\/p>\n

\u7cfb\u7edf\u7ea7\u5e94\u7528\u5f00\u53d1<\/h3>\n<\/p>\n

\u81ea\u52a8\u5b66\u4e13\u4e1a\u7684\u5b66\u751f\u8fd8\u53ef\u4ee5\u5229\u7528C++\u8fdb\u884c\u7cfb\u7edf\u7ea7\u5e94\u7528\u7684\u5f00\u53d1\uff0c\u4f8b\u5982\u5f00\u53d1\u8bbe\u5907\u9a71\u52a8\u7a0b\u5e8f\u6216\u4e0e\u786c\u4ef6\u76f4\u63a5\u4ea4\u4e92\u7684\u5e95\u5c42\u8f6f\u4ef6\u3002\u8fd9\u4e9b\u6280\u80fd\u5bf9\u4e8e\u7406\u89e3\u548c\u8bbe\u8ba1\u590d\u6742\u7684\u81ea\u52a8\u5316\u7cfb\u7edf\u81f3\u5173\u91cd\u8981\u3002<\/p>\n<\/p>\n

\u4e09\u3001MATLAB<\/h2>\n<\/p>\n

MATLAB\u662f\u4e00\u79cd\u7528\u4e8e\u6570\u503c\u8ba1\u7b97\u7684\u9ad8\u6027\u80fd\u8bed\u8a00\uff0c\u5728\u5de5\u7a0b\u5b66\u548c\u79d1\u5b66\u7814\u7a76\u4e2d\u975e\u5e38\u6d41\u884c\u3002\u81ea\u52a8\u5316\u4e13\u4e1a\u5b66\u751f\u53ef\u901a\u8fc7MATLAB\u8fdb\u884c\u590d\u6742\u7684\u6570\u5b66\u6a21\u578b\u8ba1\u7b97\u3001\u7cfb\u7edf\u4eff\u771f\u548c\u7b97\u6cd5\u5f00\u53d1\u3002<\/p>\n<\/p>\n

\u63a7\u5236\u7cfb\u7edf\u8bbe\u8ba1<\/h3>\n<\/p>\n

MATLAB\u548c\u914d\u5957\u5de5\u5177\u7bb1Simulink\u63d0\u4f9b\u4e86\u4e00\u7cfb\u5217\u5de5\u5177\uff0c\u4f7f\u81ea\u52a8\u5316\u4e13\u4e1a\u7684\u5b66\u751f\u80fd\u591f\u8bbe\u8ba1\u548c\u4eff\u771f\u63a7\u5236\u7cfb\u7edf\u3002\u8fd9\u4e9b\u5de5\u5177\u7b80\u5316\u4e86\u63a7\u5236\u903b\u8f91\u7684\u9a8c\u8bc1\u8fc7\u7a0b\uff0c\u52a0\u901f\u4e86\u4ece\u7406\u8bba\u5230\u5b9e\u9645\u5e94\u7528\u7684\u8f6c\u6362\u6b65\u9aa4\u3002<\/p>\n<\/p>\n

\u4fe1\u53f7\u5904\u7406\u548c\u901a\u4fe1<\/h3>\n<\/p>\n

MATLAB\u5728\u4fe1\u53f7\u5904\u7406\u548c\u901a\u4fe1\u9886\u57df\u4e5f\u6709\u5e7f\u6cdb\u5e94\u7528\u3002\u81ea\u52a8\u5316\u7cfb\u7edf\u4e2d\u7684\u6570\u636e\u91c7\u96c6\u3001\u6ee4\u6ce2\u548c\u4f20\u8f93\u7b49\u529f\u80fd\u5f80\u5f80\u9700\u8981\u901a\u8fc7MATLAB\u4e2d\u7684\u4e13\u4e1a\u5de5\u5177\u6765\u5b9e\u73b0\u3002<\/p>\n<\/p>\n

\u56db\u3001LABVIEW<\/h2>\n<\/p>\n

LabVIEW\u662f\u4e00\u79cd\u56fe\u5f62\u7f16\u7a0b\u8bed\u8a00\uff0c\u4e13\u4e3a\u81ea\u52a8\u5316\u6d4b\u8bd5\u548c\u6d4b\u91cf\u7cfb\u7edf\u8bbe\u8ba1\u3002\u5b66\u4e60LabVIEW\uff0c\u81ea\u52a8\u5316\u4e13\u4e1a\u7684\u5b66\u751f\u53ef\u4ee5\u5feb\u901f\u5f00\u53d1\u7528\u4e8e\u6570\u636e\u91c7\u96c6\u3001\u4eea\u5668\u63a7\u5236\u548c\u81ea\u52a8\u5316\u6d4b\u8bd5\u7684\u5e94\u7528\u7a0b\u5e8f\u3002<\/p>\n<\/p>\n

\u56fe\u5f62\u5316\u7f16\u7a0b<\/h3>\n<\/p>\n

LabVIEW\u7684\u56fe\u5f62\u5316\u7f16\u7a0b\u73af\u5883\u4f7f\u5f97\u590d\u6742\u7684\u5de5\u7a0b\u6982\u5ff5\u53d8\u5f97\u76f4\u89c2\u3002\u81ea\u52a8\u5316\u4e13\u4e1a\u7684\u5b66\u751f\u53ef\u4ee5\u901a\u8fc7\u62d6\u62fd\u56fe\u5f62\u5757\u6765\u8bbe\u8ba1\u7cfb\u7edf\uff0c\u8fd9\u79cd\u65b9\u5f0f\u7279\u522b\u9002\u5408\u4e0d\u719f\u6089\u6587\u672c\u7f16\u7a0b\u7684\u521d\u5b66\u8005\u3002<\/p>\n<\/p>\n

\u6d4b\u91cf\u4e0e\u81ea\u52a8\u5316\u6d4b\u8bd5<\/h3>\n<\/p>\n

LabVIEW\u88ab\u5e7f\u6cdb\u5e94\u7528\u4e8e\u81ea\u52a8\u5316\u6d4b\u8bd5\u8bbe\u5907\u7684\u5f00\u53d1\u4e2d\uff0c\u80fd\u591f\u6ee1\u8db3\u590d\u6742\u4eea\u5668\u63a7\u5236\u548c\u6570\u636e\u91c7\u96c6\u7684\u9700\u6c42\u3002\u5b83\u5141\u8bb8\u5feb\u901f\u521b\u5efa\u7528\u6237\u754c\u9762\uff0c\u5b9e\u73b0\u5b9e\u65f6\u6570\u636e\u663e\u793a\u548c\u7528\u6237\u4ea4\u4e92\u3002<\/p>\n<\/p>\n

\u5728\u9009\u62e9\u5b66\u4e60\u7684\u7f16\u7a0b\u8bed\u8a00\u65f6\uff0c\u81ea\u52a8\u5316\u4e13\u4e1a\u7684\u5b66\u751f\u5e94\u8003\u8651\u81ea\u5df1\u7684\u804c\u4e1a\u89c4\u5212\u548c\u5bf9\u4e0d\u540c\u9886\u57df\u7684\u5174\u8da3\u3002Python\u3001C++\u3001MATLAB\u548cLabVIEW\u90fd\u662f\u901a\u5411\u81ea\u52a8\u5316\u5de5\u7a0b\u9886\u57df\u6210\u529f\u7684\u91cd\u8981\u5de5\u5177\u3002\u5b66\u4e60\u8fd9\u4e9b\u8bed\u8a00\u4e0d\u4ec5\u80fd\u5e2e\u52a9\u5b66\u751f\u5728\u81ea\u52a8\u5316\u884c\u4e1a\u4e2d\u83b7\u5f97\u7ade\u4e89\u4f18\u52bf\uff0c\u8fd8\u80fd\u591f\u4e3a\u4ed6\u4eec\u65e5\u540e\u89e3\u51b3\u5b9e\u9645\u95ee\u9898\u6253\u4e0b\u575a\u5b9e\u7684\u57fa\u7840\u3002<\/p>\n<\/p>\n

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

1. \u54ea\u4e9b\u7f16\u7a0b\u8bed\u8a00\u5bf9\u4e8e\u81ea\u52a8\u5316\u4e13\u4e1a\u7684\u5b66\u751f\u6765\u8bf4\u662f\u5fc5\u5907\u7684\uff1f<\/strong><\/p>\n

\u5728\u81ea\u52a8\u5316\u4e13\u4e1a\u4e2d\uff0c\u5b66\u4e60\u7f16\u7a0b\u8bed\u8a00\u662f\u975e\u5e38\u91cd\u8981\u7684\u3002\u4ee5\u4e0b\u662f\u81ea\u52a8\u5316\u4e13\u4e1a\u5b66\u751f\u9700\u8981\u5b66\u4e60\u7684\u4e00\u4e9b\u5fc5\u5907\u7f16\u7a0b\u8bed\u8a00\uff1a<\/p>\n

    \n
  • C\/C++: \u8fd9\u4e24\u79cd\u7f16\u7a0b\u8bed\u8a00\u662f\u81ea\u52a8\u5316\u9886\u57df\u4e2d\u6700\u5e38\u7528\u7684\u8bed\u8a00\u4e4b\u4e00\u3002\u5b83\u4eec\u88ab\u5e7f\u6cdb\u5e94\u7528\u4e8e\u5d4c\u5165\u5f0f\u7cfb\u7edf\u5f00\u53d1\u548c\u63a7\u5236\u5668\u7f16\u7a0b\u3002\u5b66\u4e60C\/C++\u53ef\u4ee5\u4f7f\u5b66\u751f\u80fd\u591f\u7f16\u5199\u9ad8\u6548\u4e14\u53ef\u9760\u7684\u63a7\u5236\u7a0b\u5e8f\u3002<\/li>\n
  • Python: Python\u662f\u53e6\u4e00\u79cd\u975e\u5e38\u53d7\u6b22\u8fce\u7684\u7f16\u7a0b\u8bed\u8a00\uff0c\u5728\u81ea\u52a8\u5316\u9886\u57df\u4e2d\u5f97\u5230\u5e7f\u6cdb\u5e94\u7528\u3002Python\u5177\u6709\u7b80\u5355\u6613\u5b66\u7684\u7279\u70b9\uff0c\u540c\u65f6\u62e5\u6709\u4e30\u5bcc\u7684\u5e93\u548c\u6a21\u5757\uff0c\u53ef\u4ee5\u7528\u4e8e\u5feb\u901f\u5f00\u53d1\u539f\u578b\u548c\u7b80\u5316\u590d\u6742\u7684\u81ea\u52a8\u5316\u4efb\u52a1\u3002<\/li>\n
  • MATLAB: MATLAB\u662f\u4e00\u79cd\u4e13\u4e3a\u79d1\u5b66\u548c\u5de5\u7a0b\u8ba1\u7b97\u800c\u8bbe\u8ba1\u7684\u9ad8\u7ea7\u7f16\u7a0b\u8bed\u8a00\u3002\u5b83\u5728\u81ea\u52a8\u5316\u9886\u57df\u4e2d\u7528\u4e8e\u6570\u636e\u5206\u6790\u3001\u63a7\u5236\u7cfb\u7edf\u8bbe\u8ba1\u548c\u6a21\u62df\u7b49\u4efb\u52a1\u3002\u5b66\u4e60MATLAB\u53ef\u4ee5\u5e2e\u52a9\u5b66\u751f\u66f4\u597d\u5730\u7406\u89e3\u81ea\u52a8\u5316\u7cfb\u7edf\u7684\u5efa\u6a21\u548c\u4eff\u771f\u8fc7\u7a0b\u3002<\/li>\n<\/ul>\n

    2. \u5b66\u4e60\u54ea\u4e9b\u7f16\u7a0b\u8bed\u8a00\u6709\u52a9\u4e8e\u81ea\u52a8\u5316\u5de5\u7a0b\u5e08\u7684\u5c31\u4e1a\u524d\u666f\uff1f<\/strong><\/p>\n

    \u81ea\u52a8\u5316\u5de5\u7a0b\u5e08\u662f\u4e00\u4e2a\u975e\u5e38\u6709\u524d\u666f\u7684\u804c\u4e1a\uff0c\u638c\u63e1\u7279\u5b9a\u7684\u7f16\u7a0b\u8bed\u8a00\u53ef\u4ee5\u8fdb\u4e00\u6b65\u589e\u52a0\u5c31\u4e1a\u673a\u4f1a\u3002\u4ee5\u4e0b\u662f\u51e0\u79cd\u5bf9\u4e8e\u81ea\u52a8\u5316\u5de5\u7a0b\u5e08\u6765\u8bf4\u975e\u5e38\u6709\u7528\u7684\u7f16\u7a0b\u8bed\u8a00\uff1a<\/p>\n

      \n
    • PLC\u7f16\u7a0b\u8bed\u8a00\uff08\u4f8b\u5982LD\u3001ST\u3001FBD\uff09: \u5728\u81ea\u52a8\u5316\u5de5\u7a0b\u4e2d\uff0c\u53ef\u7f16\u7a0b\u903b\u8f91\u63a7\u5236\u5668\uff08PLC\uff09\u901a\u5e38\u7528\u4e8e\u63a7\u5236\u548c\u76d1\u63a7\u673a\u68b0\u548c\u5de5\u4e1a\u8bbe\u5907\u3002\u638c\u63e1PLC\u7f16\u7a0b\u8bed\u8a00\u53ef\u4ee5\u5e2e\u52a9\u81ea\u52a8\u5316\u5de5\u7a0b\u5e08\u66f4\u597d\u5730\u7406\u89e3\u548c\u64cd\u4f5cPLC\u7cfb\u7edf\u3002<\/li>\n
    • \u754c\u9762\u7f16\u7a0b\u8bed\u8a00\uff08\u4f8b\u5982LabVIEW\uff09: LabVIEW\u662f\u4e00\u79cd\u56fe\u5f62\u5316\u7f16\u7a0b\u8bed\u8a00\uff0c\u5e7f\u6cdb\u7528\u4e8e\u81ea\u52a8\u5316\u548c\u6d4b\u91cf\u9886\u57df\u3002\u638c\u63e1LabVIEW\u53ef\u4ee5\u5e2e\u52a9\u81ea\u52a8\u5316\u5de5\u7a0b\u5e08\u8bbe\u8ba1\u548c\u5f00\u53d1\u5404\u79cd\u81ea\u52a8\u5316\u7cfb\u7edf\uff0c\u5e76\u4e0e\u5176\u5b83\u786c\u4ef6\u548c\u8f6f\u4ef6\u8fdb\u884c\u96c6\u6210\u3002<\/li>\n
    • ROS\uff08\u673a\u5668\u4eba\u64cd\u4f5c\u7cfb\u7edf\uff09: ROS\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u3001\u529f\u80fd\u5f3a\u5927\u7684\u673a\u5668\u4eba\u64cd\u4f5c\u7cfb\u7edf\uff0c\u63d0\u4f9b\u4e86\u8bb8\u591a\u7528\u4e8e\u5f00\u53d1\u548c\u63a7\u5236\u673a\u5668\u4eba\u7684\u5de5\u5177\u548c\u5e93\u3002\u5bf9\u4e8e\u6709\u5174\u8da3\u4ece\u4e8b\u673a\u5668\u4eba\u63a7\u5236\u7684\u81ea\u52a8\u5316\u5de5\u7a0b\u5e08\u6765\u8bf4\uff0c\u5b66\u4e60ROS\u7f16\u7a0b\u8bed\u8a00\u5c06\u662f\u4e00\u4e2a\u975e\u5e38\u6709\u7528\u7684\u6280\u80fd\u3002<\/li>\n<\/ul>\n

      3. \u5b66\u4e60\u54ea\u4e9b\u7f16\u7a0b\u8bed\u8a00\u53ef\u4ee5\u5e2e\u52a9\u81ea\u52a8\u5316\u5b66\u751f\u66f4\u597d\u5730\u7406\u89e3\u81ea\u52a8\u5316\u539f\u7406\u548c\u7b97\u6cd5\uff1f<\/strong><\/p>\n

      \u7406\u89e3\u81ea\u52a8\u5316\u539f\u7406\u548c\u7b97\u6cd5\u5bf9\u4e8e\u81ea\u52a8\u5316\u5b66\u751f\u6765\u8bf4\u975e\u5e38\u91cd\u8981\u3002\u4ee5\u4e0b\u662f\u51e0\u79cd\u7f16\u7a0b\u8bed\u8a00\uff0c\u53ef\u4ee5\u5e2e\u52a9\u4ed6\u4eec\u66f4\u597d\u5730\u7406\u89e3\u81ea\u52a8\u5316\u539f\u7406\u548c\u7b97\u6cd5\uff1a<\/p>\n

        \n
      • Java: Java\u662f\u4e00\u79cd\u901a\u7528\u7684\u7f16\u7a0b\u8bed\u8a00\uff0c\u5e7f\u6cdb\u5e94\u7528\u4e8e\u8ba1\u7b97\u673a\u79d1\u5b66\u548c\u5de5\u7a0b\u9886\u57df\u3002\u5b83\u7684\u9762\u5411\u5bf9\u8c61\u7279\u6027\u548c\u4e30\u5bcc\u7684\u5e93\u53ef\u4ee5\u5e2e\u52a9\u5b66\u751f\u66f4\u597d\u5730\u7406\u89e3\u81ea\u52a8\u5316\u7cfb\u7edf\u7684\u5efa\u6a21\u548c\u8bbe\u8ba1\u8fc7\u7a0b\u3002<\/li>\n
      • MATLAB\/Simulink: \u9664\u4e86\u7528\u4e8e\u6570\u636e\u5206\u6790\u548c\u4eff\u771f\uff0cMATLAB\/Simulink\u8fd8\u53ef\u4ee5\u7528\u4e8e\u63a7\u5236\u7cfb\u7edf\u8bbe\u8ba1\u548c\u6a21\u578b\u9884\u6d4b\u63a7\u5236\u7b49\u81ea\u52a8\u5316\u9886\u57df\u3002\u5b66\u4e60MATLAB\/Simulink\u53ef\u4ee5\u4f7f\u5b66\u751f\u5bf9\u81ea\u52a8\u5316\u539f\u7406\u548c\u7b97\u6cd5\u6709\u66f4\u6df1\u5165\u7684\u7406\u89e3\u3002<\/li>\n
      • R: R\u662f\u4e00\u79cd\u7528\u4e8e\u7edf\u8ba1\u5206\u6790\u548c\u6570\u636e\u53ef\u89c6\u5316\u7684\u7f16\u7a0b\u8bed\u8a00\u3002\u5728\u81ea\u52a8\u5316\u9886\u57df\u4e2d\uff0c\u4e86\u89e3\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u7684\u57fa\u672c\u539f\u7406\u5bf9\u4e8e\u8bbe\u8ba1\u548c\u8c03\u6574\u81ea\u52a8\u5316\u7cfb\u7edf\u975e\u5e38\u91cd\u8981\u3002\u5b66\u4e60R\u7f16\u7a0b\u8bed\u8a00\u53ef\u4ee5\u5e2e\u52a9\u5b66\u751f\u66f4\u597d\u5730\u7406\u89e3\u548c\u5e94\u7528\u8fd9\u4e9b\u6982\u5ff5\u3002<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"\u81ea\u52a8\u5316\u4e13\u4e1a\u7684\u5b66\u751f\u5e94\u8be5\u5b66\u4e60Python\u3001C++\u3001MATLAB\u3001\u8fd8\u6709LabVIEW\u3002\u8fd9\u4e9b\u662f\u81ea\u52a8\u5316\u9886\u57df\u4e2d\u5e38\u7528\u4e14\u91cd\u8981\u7684 […]","protected":false},"author":3,"featured_media":0,"comment_status":"","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\/241574"}],"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=241574"}],"version-history":[{"count":0,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/241574\/revisions"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=241574"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=241574"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=241574"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}