{"id":970647,"date":"2024-12-27T05:27:53","date_gmt":"2024-12-26T21:27:53","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/970647.html"},"modified":"2024-12-27T05:27:55","modified_gmt":"2024-12-26T21:27:55","slug":"%e5%a6%82%e4%bd%95%e4%bd%bf%e7%94%a8python%e4%bb%a3%e6%9b%bfmatlab","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/970647.html","title":{"rendered":"\u5982\u4f55\u4f7f\u7528Python\u4ee3\u66ffMATLAB"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/24193852\/f3f2a310-3567-4d28-8b1a-49bebfd9d320.webp\" alt=\"\u5982\u4f55\u4f7f\u7528Python\u4ee3\u66ffMATLAB\" \/><\/p>\n<p><p> <strong>\u4f7f\u7528Python\u4ee3\u66ffMATLAB\u7684\u6838\u5fc3\u5728\u4e8e\uff1a\u4e30\u5bcc\u7684\u5e93\u652f\u6301\u3001\u5f3a\u5927\u7684\u793e\u533a\u8d44\u6e90\u3001\u514d\u8d39\u5f00\u6e90\u7684\u4f18\u52bf\u3001\u4ee5\u53ca\u8de8\u5e73\u53f0\u517c\u5bb9\u6027\u3002Python\u5728\u79d1\u5b66\u8ba1\u7b97\u3001\u6570\u636e\u5206\u6790\u3001<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u7b49\u9886\u57df\u5df2\u7ecf\u53d1\u5c55\u5f97\u975e\u5e38\u6210\u719f\uff0c\u5176\u4e2dNumPy\u3001SciPy\u3001Matplotlib\u3001Pandas\u7b49\u5e93\u4e3aPython\u63d0\u4f9b\u4e86\u4e0eMATLAB\u76f8\u5f53\u7684\u529f\u80fd\u3002<\/strong><\/p>\n<\/p>\n<p><p>Python\u4f5c\u4e3a\u4e00\u79cd\u901a\u7528\u7684\u7f16\u7a0b\u8bed\u8a00\uff0c\u5176\u7075\u6d3b\u6027\u548c\u6613\u7528\u6027\u662f\u5176\u88ab\u5e7f\u6cdb\u91c7\u7528\u7684\u539f\u56e0\u4e4b\u4e00\u3002\u9996\u5148\uff0cPython\u662f\u5f00\u6e90\u514d\u8d39\u7684\uff0c\u7528\u6237\u53ef\u4ee5\u81ea\u7531\u4f7f\u7528\u548c\u4fee\u6539\u4ee3\u7801\uff0c\u8fd9\u4f7f\u5f97\u5176\u5728\u6210\u672c\u4e0a\u4f18\u4e8eMATLAB\u3002\u5176\u6b21\uff0cPython\u62e5\u6709\u4e00\u4e2a\u6d3b\u8dc3\u7684\u5f00\u53d1\u8005\u793e\u533a\uff0c\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u5e93\u548c\u5de5\u5177\uff0c\u6db5\u76d6\u4e86\u79d1\u5b66\u8ba1\u7b97\u3001\u6570\u636e\u5206\u6790\u3001\u673a\u5668\u5b66\u4e60\u7b49\u591a\u4e2a\u9886\u57df\u3002\u4f8b\u5982\uff0cNumPy\u548cSciPy\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u503c\u8ba1\u7b97\u529f\u80fd\uff0cMatplotlib\u7528\u4e8e\u6570\u636e\u53ef\u89c6\u5316\uff0cPandas\u7528\u4e8e\u6570\u636e\u5904\u7406\u3002\u518d\u8005\uff0cPython\u5177\u6709\u826f\u597d\u7684\u8de8\u5e73\u53f0\u517c\u5bb9\u6027\uff0c\u65e0\u8bba\u662fWindows\u3001Linux\u8fd8\u662fMacOS\uff0cPython\u90fd\u80fd\u65e0\u7f1d\u8fd0\u884c\u3002\u8fd9\u4e9b\u4f18\u52bf\u4f7f\u5f97Python\u5728\u79d1\u7814\u548c\u5de5\u4e1a\u754c\u5f97\u5230\u4e86\u5e7f\u6cdb\u7684\u5e94\u7528\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u4e30\u5bcc\u7684\u5e93\u652f\u6301<\/h3>\n<\/p>\n<p><p>Python\u7684\u4e00\u4e2a\u663e\u8457\u4f18\u52bf\u662f\u5176\u4e30\u5bcc\u7684\u5e93\u652f\u6301\uff0c\u8fd9\u4f7f\u5f97\u5b83\u5728\u79d1\u5b66\u8ba1\u7b97\u548c\u6570\u636e\u5206\u6790\u9886\u57df\u80fd\u591f\u5f88\u597d\u5730\u66ff\u4ee3MATLAB\u3002<\/p>\n<\/p>\n<p><h4>1. NumPy\u548cSciPy<\/h4>\n<\/p>\n<p><p>NumPy\u662fPython\u4e2d\u7528\u4e8e\u6570\u503c\u8ba1\u7b97\u7684\u57fa\u7840\u5e93\uff0c\u5b83\u63d0\u4f9b\u4e86\u5bf9\u591a\u7ef4\u6570\u7ec4\u5bf9\u8c61\u7684\u652f\u6301\uff0c\u4ee5\u53ca\u4e30\u5bcc\u7684\u6570\u5b66\u51fd\u6570\u5e93\u3002SciPy\u662f\u57fa\u4e8eNumPy\u6784\u5efa\u7684\uff0c\u63d0\u4f9b\u4e86\u66f4\u9ad8\u7ea7\u7684\u79d1\u5b66\u8ba1\u7b97\u529f\u80fd\uff0c\u5305\u62ec\u4f18\u5316\u3001\u7ebf\u6027\u4ee3\u6570\u3001\u79ef\u5206\u3001\u63d2\u503c\u3001\u5085\u91cc\u53f6\u53d8\u6362\u3001\u4fe1\u53f7\u5904\u7406\u548c\u5176\u4ed6\u79d1\u5b66\u548c\u5de5\u7a0b\u8ba1\u7b97\u4efb\u52a1\u3002<\/p>\n<\/p>\n<ul>\n<li>\n<p><strong>NumPy\u7684\u4f18\u52bf\u5728\u4e8e\u5176\u9ad8\u6548\u7684\u6570\u7ec4\u64cd\u4f5c\u548c\u7075\u6d3b\u7684\u5e7f\u64ad\u673a\u5236<\/strong>\uff0c\u8fd9\u4f7f\u5f97\u7528\u6237\u80fd\u591f\u65b9\u4fbf\u5730\u8fdb\u884c\u77e9\u9635\u8fd0\u7b97\u548c\u5176\u4ed6\u6570\u503c\u8ba1\u7b97\u64cd\u4f5c\u3002NumPy\u7684ndarray\u5bf9\u8c61\u63d0\u4f9b\u4e86\u5bf9\u591a\u7ef4\u6570\u7ec4\u7684\u652f\u6301\uff0c\u8fd9\u5728\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u65f6\u5c24\u4e3a\u91cd\u8981\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p>SciPy\u5728NumPy\u7684\u57fa\u7840\u4e0a\u63d0\u4f9b\u4e86\u66f4\u591a\u7684\u79d1\u5b66\u8ba1\u7b97\u529f\u80fd\uff0c\u4f7f\u5f97Python\u80fd\u591f\u80dc\u4efb\u590d\u6742\u7684\u79d1\u5b66\u548c\u5de5\u7a0b\u8ba1\u7b97\u4efb\u52a1\u3002\u4f8b\u5982\uff0cSciPy\u7684\u4f18\u5316\u6a21\u5757\u63d0\u4f9b\u4e86\u591a\u79cd\u4f18\u5316\u7b97\u6cd5\uff0c\u53ef\u4ee5\u7528\u4e8e\u89e3\u51b3\u7ebf\u6027\u548c\u975e\u7ebf\u6027\u4f18\u5316\u95ee\u9898\u3002<\/p>\n<\/p>\n<\/li>\n<\/ul>\n<p><h4>2. Matplotlib\u548cSeaborn<\/h4>\n<\/p>\n<p><p>Matplotlib\u662fPython\u4e2d\u7528\u4e8e\u6570\u636e\u53ef\u89c6\u5316\u7684\u6838\u5fc3\u5e93\uff0c\u5177\u6709\u4e0eMATLAB\u76f8\u4f3c\u7684\u63a5\u53e3\uff0c\u80fd\u591f\u7ed8\u5236\u51fa\u9ad8\u8d28\u91cf\u7684\u56fe\u5f62\u3002Seaborn\u662f\u57fa\u4e8eMatplotlib\u7684\u9ad8\u7ea7\u53ef\u89c6\u5316\u5e93\uff0c\u63d0\u4f9b\u4e86\u66f4\u4e3a\u7f8e\u89c2\u548c\u7b80\u4fbf\u7684\u7ed8\u56fe\u63a5\u53e3\u3002<\/p>\n<\/p>\n<ul>\n<li>\n<p><strong>Matplotlib\u7684\u5f3a\u5927\u4e4b\u5904\u5728\u4e8e\u5176\u7075\u6d3b\u6027\u548c\u53ef\u5b9a\u5236\u6027<\/strong>\uff0c\u7528\u6237\u53ef\u4ee5\u901a\u8fc7\u7b80\u5355\u7684\u547d\u4ee4\u751f\u6210\u590d\u6742\u7684\u56fe\u5f62\u3002Matplotlib\u652f\u6301\u591a\u79cd\u56fe\u5f62\u7c7b\u578b\uff0c\u5305\u62ec\u7ebf\u56fe\u3001\u6563\u70b9\u56fe\u3001\u67f1\u72b6\u56fe\u3001\u76f4\u65b9\u56fe\u7b49\uff0c\u80fd\u591f\u6ee1\u8db3\u5927\u591a\u6570\u6570\u636e\u53ef\u89c6\u5316\u9700\u6c42\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p>Seaborn\u5219\u901a\u8fc7\u7b80\u5316\u6570\u636e\u53ef\u89c6\u5316\u7684\u8fc7\u7a0b\uff0c\u4f7f\u5f97\u7528\u6237\u53ef\u4ee5\u66f4\u8f7b\u677e\u5730\u751f\u6210\u7f8e\u89c2\u7684\u56fe\u5f62\u3002Seaborn\u63d0\u4f9b\u4e86\u591a\u79cd\u7ed8\u56fe\u98ce\u683c\u548c\u914d\u8272\u65b9\u6848\uff0c\u80fd\u591f\u8ba9\u7528\u6237\u5feb\u901f\u521b\u5efa\u51fa\u4e13\u4e1a\u7684\u56fe\u5f62\u3002<\/p>\n<\/p>\n<\/li>\n<\/ul>\n<p><h4>3. Pandas<\/h4>\n<\/p>\n<p><p>Pandas\u662fPython\u4e2d\u7528\u4e8e\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u7684\u91cd\u8981\u5e93\uff0c\u5c24\u5176\u9002\u7528\u4e8e\u5904\u7406\u7ed3\u6784\u5316\u6570\u636e\uff0c\u5982\u8868\u683c\u6570\u636e\u3002<\/p>\n<\/p>\n<ul>\n<li><strong>Pandas\u7684\u6838\u5fc3\u662fDataFrame\u5bf9\u8c61<\/strong>\uff0c\u5b83\u63d0\u4f9b\u4e86\u4e00\u79cd\u7075\u6d3b\u7684\u6570\u636e\u7ed3\u6784\uff0c\u80fd\u591f\u65b9\u4fbf\u5730\u8fdb\u884c\u6570\u636e\u6e05\u7406\u3001\u8fc7\u6ee4\u3001\u805a\u5408\u548c\u8f6c\u6362\u7b49\u64cd\u4f5c\u3002Pandas\u8fd8\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u8f93\u5165\u8f93\u51fa\u529f\u80fd\uff0c\u80fd\u591f\u8f7b\u677e\u8bfb\u53d6\u548c\u5199\u5165\u591a\u79cd\u683c\u5f0f\u7684\u6570\u636e\u6587\u4ef6\uff0c\u5982CSV\u3001Excel\u3001SQL\u6570\u636e\u5e93\u7b49\u3002<\/li>\n<\/ul>\n<p><h3>\u4e8c\u3001\u5f3a\u5927\u7684\u793e\u533a\u8d44\u6e90<\/h3>\n<\/p>\n<p><p>Python\u62e5\u6709\u4e00\u4e2a\u5e9e\u5927\u4e14\u6d3b\u8dc3\u7684\u793e\u533a\uff0c\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u8d44\u6e90\u548c\u652f\u6301\uff0c\u8fd9\u662f\u5176\u76f8\u8f83\u4e8eMATLAB\u7684\u53e6\u4e00\u5927\u4f18\u52bf\u3002<\/p>\n<\/p>\n<p><h4>1. \u5f00\u6e90\u793e\u533a<\/h4>\n<\/p>\n<p><p>Python\u7684\u5f00\u6e90\u793e\u533a\u4e3a\u7528\u6237\u63d0\u4f9b\u4e86\u5927\u91cf\u7684\u5f00\u6e90\u9879\u76ee\u548c\u5e93\uff0c\u8fd9\u4e9b\u8d44\u6e90\u6781\u5927\u5730\u6269\u5c55\u4e86Python\u7684\u529f\u80fd\u8303\u56f4\u3002<\/p>\n<\/p>\n<ul>\n<li>\n<p><strong>\u5f00\u6e90\u793e\u533a\u7684\u6d3b\u8dc3\u6027\u4f7f\u5f97Python\u80fd\u591f\u8fc5\u901f\u54cd\u5e94\u7528\u6237\u9700\u6c42<\/strong>\uff0c\u4e0d\u65ad\u63a8\u51fa\u65b0\u7684\u5e93\u548c\u5de5\u5177\u3002\u4f8b\u5982\uff0cTensorFlow\u548cPyTorch\u662f\u4e24\u4e2a\u6d41\u884c\u7684\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\uff0c\u5b83\u4eec\u90fd\u662f\u7531\u5f00\u6e90\u793e\u533a\u5f00\u53d1\u548c\u7ef4\u62a4\u7684\u3002\u901a\u8fc7\u8fd9\u4e9b\u6846\u67b6\uff0cPython\u5728\u673a\u5668\u5b66\u4e60\u548c<a href=\"https:\/\/docs.pingcode.com\/tag\/AI\" target=\"_blank\">\u4eba\u5de5\u667a\u80fd<\/a>\u9886\u57df\u4e5f\u53d6\u5f97\u4e86\u663e\u8457\u7684\u8fdb\u5c55\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p>\u6b64\u5916\uff0cPython\u7684\u5f00\u6e90\u793e\u533a\u8fd8\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6587\u6863\u548c\u6559\u7a0b\uff0c\u5e2e\u52a9\u7528\u6237\u5feb\u901f\u4e0a\u624b\u548c\u6df1\u5165\u5b66\u4e60\u3002\u8fd9\u4e9b\u8d44\u6e90\u5305\u62ec\u5b98\u65b9\u6587\u6863\u3001\u7b2c\u4e09\u65b9\u6559\u7a0b\u3001\u535a\u5ba2\u6587\u7ae0\u3001\u89c6\u9891\u6559\u7a0b\u7b49\uff0c\u7528\u6237\u53ef\u4ee5\u6839\u636e\u81ea\u5df1\u7684\u9700\u8981\u9009\u62e9\u5408\u9002\u7684\u5b66\u4e60\u8d44\u6e90\u3002<\/p>\n<\/p>\n<\/li>\n<\/ul>\n<p><h4>2. \u5728\u7ebf\u793e\u533a\u548c\u8bba\u575b<\/h4>\n<\/p>\n<p><p>\u9664\u4e86\u5f00\u6e90\u793e\u533a\uff0cPython\u8fd8\u62e5\u6709\u4f17\u591a\u7684\u5728\u7ebf\u793e\u533a\u548c\u8bba\u575b\uff0c\u7528\u6237\u53ef\u4ee5\u5728\u8fd9\u4e9b\u5e73\u53f0\u4e0a\u4ea4\u6d41\u7ecf\u9a8c\u3001\u5206\u4eab\u77e5\u8bc6\u3001\u5bfb\u6c42\u5e2e\u52a9\u3002<\/p>\n<\/p>\n<ul>\n<li>\n<p><strong>Stack Overflow\u662f\u6700\u8457\u540d\u7684\u7f16\u7a0b\u95ee\u7b54\u793e\u533a<\/strong>\uff0cPython\u5728\u8fd9\u4e2a\u5e73\u53f0\u4e0a\u6709\u7740\u6d3b\u8dc3\u7684\u8ba8\u8bba\u3002\u7528\u6237\u53ef\u4ee5\u5728\u8fd9\u91cc\u63d0\u51fa\u95ee\u9898\uff0c\u5f97\u5230\u5176\u4ed6\u7528\u6237\u7684\u89e3\u7b54\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u7528\u6237\u80fd\u591f\u5feb\u901f\u89e3\u51b3\u5728\u4f7f\u7528Python\u8fc7\u7a0b\u4e2d\u9047\u5230\u7684\u95ee\u9898\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p>Reddit\u3001Quora\u7b49\u5e73\u53f0\u4e0a\u4e5f\u6709\u5927\u91cf\u5173\u4e8ePython\u7684\u8ba8\u8bba\uff0c\u7528\u6237\u53ef\u4ee5\u5728\u8fd9\u4e9b\u5e73\u53f0\u4e0a\u83b7\u53d6\u5230\u6700\u65b0\u7684Python\u52a8\u6001\u548c\u8d8b\u52bf\u3002\u6b64\u5916\uff0cGitHub\u4e0a\u6709\u4f17\u591a\u7684Python\u9879\u76ee\uff0c\u7528\u6237\u53ef\u4ee5\u901a\u8fc7\u53c2\u4e0e\u5f00\u6e90\u9879\u76ee\u7684\u5f00\u53d1\uff0c\u63d0\u5347\u81ea\u5df1\u7684\u7f16\u7a0b\u80fd\u529b\u3002<\/p>\n<\/p>\n<\/li>\n<\/ul>\n<p><h3>\u4e09\u3001\u514d\u8d39\u5f00\u6e90\u7684\u4f18\u52bf<\/h3>\n<\/p>\n<p><p>Python\u7684\u514d\u8d39\u5f00\u6e90\u7279\u6027\u4f7f\u5f97\u5176\u5728\u6210\u672c\u4e0a\u4f18\u4e8eMATLAB\uff0c\u8fd9\u662f\u5176\u88ab\u5e7f\u6cdb\u91c7\u7528\u7684\u53e6\u4e00\u4e2a\u91cd\u8981\u539f\u56e0\u3002<\/p>\n<\/p>\n<p><h4>1. \u65e0\u9700\u8bb8\u53ef\u8bc1\u8d39\u7528<\/h4>\n<\/p>\n<p><p>MATLAB\u662f\u4e00\u6b3e\u5546\u4e1a\u8f6f\u4ef6\uff0c\u7528\u6237\u9700\u8981\u652f\u4ed8\u8bb8\u53ef\u8bc1\u8d39\u7528\u624d\u80fd\u4f7f\u7528\u3002\u76f8\u8f83\u4e4b\u4e0b\uff0cPython\u662f\u5b8c\u5168\u514d\u8d39\u7684\uff0c\u7528\u6237\u53ef\u4ee5\u81ea\u7531\u4e0b\u8f7d\u548c\u4f7f\u7528\u3002<\/p>\n<\/p>\n<ul>\n<li>\n<p><strong>Python\u7684\u514d\u8d39\u7279\u6027\u964d\u4f4e\u4e86\u4f7f\u7528\u95e8\u69db<\/strong>\uff0c\u5c24\u5176\u5bf9\u4e8e\u4e2a\u4eba\u7528\u6237\u548c\u5c0f\u578b\u4f01\u4e1a\u6765\u8bf4\uff0c\u8fd9\u662f\u4e00\u4e2a\u663e\u8457\u7684\u4f18\u52bf\u3002\u7528\u6237\u53ef\u4ee5\u5c06\u8282\u7701\u4e0b\u6765\u7684\u8d39\u7528\u7528\u4e8e\u5176\u4ed6\u65b9\u9762\u7684\u6295\u5165\uff0c\u5982\u786c\u4ef6\u5347\u7ea7\u3001\u56e2\u961f\u6269\u5145\u7b49\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p>\u6b64\u5916\uff0cPython\u7684\u5f00\u6e90\u7279\u6027\u4f7f\u5f97\u7528\u6237\u53ef\u4ee5\u81ea\u7531\u5730\u67e5\u770b\u548c\u4fee\u6539\u6e90\u4ee3\u7801\uff0c\u8fd9\u5728\u67d0\u4e9b\u7279\u5b9a\u5e94\u7528\u573a\u666f\u4e0b\u662f\u975e\u5e38\u91cd\u8981\u7684\u3002\u4f8b\u5982\uff0c\u7528\u6237\u53ef\u4ee5\u6839\u636e\u81ea\u5df1\u7684\u9700\u6c42\u5bf9Python\u7684\u4ee3\u7801\u8fdb\u884c\u5b9a\u5236\uff0c\u4ee5\u5b9e\u73b0\u7279\u5b9a\u7684\u529f\u80fd\u3002<\/p>\n<\/p>\n<\/li>\n<\/ul>\n<p><h4>2. \u5f00\u6e90\u8f6f\u4ef6\u751f\u6001\u7cfb\u7edf<\/h4>\n<\/p>\n<p><p>Python\u7684\u514d\u8d39\u5f00\u6e90\u7279\u6027\u4e5f\u4fc3\u6210\u4e86\u4e00\u4e2a\u5e9e\u5927\u7684\u5f00\u6e90\u8f6f\u4ef6\u751f\u6001\u7cfb\u7edf\uff0c\u7528\u6237\u53ef\u4ee5\u5728\u8fd9\u4e2a\u751f\u6001\u7cfb\u7edf\u4e2d\u627e\u5230\u51e0\u4e4e\u6240\u6709\u9700\u8981\u7684\u5de5\u5177\u548c\u5e93\u3002<\/p>\n<\/p>\n<ul>\n<li>\n<p><strong>Python\u7684\u5f00\u6e90\u751f\u6001\u7cfb\u7edf\u6db5\u76d6\u4e86\u591a\u4e2a\u9886\u57df<\/strong>\uff0c\u5982\u6570\u636e\u79d1\u5b66\u3001\u673a\u5668\u5b66\u4e60\u3001\u7f51\u7edc\u5f00\u53d1\u3001\u81ea\u52a8\u5316\u7b49\u3002\u65e0\u8bba\u7528\u6237\u9700\u8981\u8fdb\u884c\u4f55\u79cd\u7c7b\u578b\u7684\u5f00\u53d1\uff0c\u90fd\u53ef\u4ee5\u5728\u8fd9\u4e2a\u751f\u6001\u7cfb\u7edf\u4e2d\u627e\u5230\u5408\u9002\u7684\u5de5\u5177\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p>\u5f00\u6e90\u8f6f\u4ef6\u901a\u5e38\u7531\u793e\u533a\u8fdb\u884c\u5f00\u53d1\u548c\u7ef4\u62a4\uff0c\u8fd9\u610f\u5473\u7740\u7528\u6237\u53ef\u4ee5\u4e0e\u5f00\u53d1\u8005\u76f4\u63a5\u6c9f\u901a\uff0c\u63d0\u51fa\u81ea\u5df1\u7684\u9700\u6c42\u548c\u5efa\u8bae\uff0c\u4ece\u800c\u63a8\u52a8\u8f6f\u4ef6\u7684\u6539\u8fdb\u548c\u66f4\u65b0\u3002<\/p>\n<\/p>\n<\/li>\n<\/ul>\n<p><h3>\u56db\u3001\u8de8\u5e73\u53f0\u517c\u5bb9\u6027<\/h3>\n<\/p>\n<p><p>Python\u7684\u8de8\u5e73\u53f0\u517c\u5bb9\u6027\u662f\u5176\u80fd\u591f\u66ff\u4ee3MATLAB\u7684\u53e6\u4e00\u4e2a\u91cd\u8981\u56e0\u7d20\u3002Python\u80fd\u591f\u5728\u591a\u79cd\u64cd\u4f5c\u7cfb\u7edf\u4e0a\u8fd0\u884c\uff0c\u5305\u62ecWindows\u3001Linux\u548cMacOS\u3002<\/p>\n<\/p>\n<p><h4>1. \u4e00\u6b21\u7f16\u5199\uff0c\u591a\u5904\u8fd0\u884c<\/h4>\n<\/p>\n<p><p>Python\u7684\u201c\u5199\u4e00\u6b21\uff0c\u8dd1\u591a\u5904\u201d\u7279\u6027\u4f7f\u5f97\u7528\u6237\u53ef\u4ee5\u5728\u4e0d\u540c\u7684\u5e73\u53f0\u4e0a\u65e0\u7f1d\u8fd0\u884c\u81ea\u5df1\u7684\u4ee3\u7801\u3002<\/p>\n<\/p>\n<ul>\n<li>\n<p><strong>\u8fd9\u79cd\u8de8\u5e73\u53f0\u7684\u517c\u5bb9\u6027\u5bf9\u4e8e\u5f00\u53d1\u8005\u6765\u8bf4\u662f\u6781\u4e3a\u4fbf\u5229\u7684<\/strong>\uff0c\u4ed6\u4eec\u65e0\u9700\u4e3a\u4e0d\u540c\u7684\u64cd\u4f5c\u7cfb\u7edf\u7f16\u5199\u4e0d\u540c\u7248\u672c\u7684\u4ee3\u7801\u3002\u8fd9\u4e0d\u4ec5\u8282\u7701\u4e86\u5f00\u53d1\u65f6\u95f4\uff0c\u4e5f\u964d\u4f4e\u4e86\u7ef4\u62a4\u6210\u672c\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p>\u901a\u8fc7\u4f7f\u7528Python\uff0c\u5f00\u53d1\u8005\u53ef\u4ee5\u5728\u56e2\u961f\u4e2d\u5b9e\u73b0\u66f4\u9ad8\u7684\u534f\u4f5c\u6548\u7387\u3002\u65e0\u8bba\u56e2\u961f\u6210\u5458\u4f7f\u7528\u4f55\u79cd\u64cd\u4f5c\u7cfb\u7edf\uff0c\u4ed6\u4eec\u90fd\u53ef\u4ee5\u5171\u4eab\u548c\u8fd0\u884c\u540c\u4e00\u5957\u4ee3\u7801\u3002<\/p>\n<\/p>\n<\/li>\n<\/ul>\n<p><h4>2. \u5e7f\u6cdb\u7684IDE\u652f\u6301<\/h4>\n<\/p>\n<p><p>Python\u5f97\u5230\u4e86\u591a\u79cd\u96c6\u6210\u5f00\u53d1\u73af\u5883\uff08IDE\uff09\u7684\u652f\u6301\uff0c\u8fd9\u4e9bIDE\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u5f00\u53d1\u5de5\u5177\u548c\u529f\u80fd\uff0c\u6781\u5927\u5730\u63d0\u5347\u4e86\u5f00\u53d1\u6548\u7387\u3002<\/p>\n<\/p>\n<ul>\n<li>\n<p><strong>PyCharm\u3001Visual Studio Code\u3001Jupyter Notebook\u7b49\u90fd\u662f\u652f\u6301Python\u5f00\u53d1\u7684\u4f18\u79c0IDE<\/strong>\u3002\u8fd9\u4e9bIDE\u63d0\u4f9b\u4e86\u4ee3\u7801\u8865\u5168\u3001\u8c03\u8bd5\u3001\u7248\u672c\u63a7\u5236\u7b49\u529f\u80fd\uff0c\u5e2e\u52a9\u5f00\u53d1\u8005\u66f4\u5feb\u5730\u7f16\u5199\u548c\u8c03\u8bd5\u4ee3\u7801\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p>Jupyter Notebook\u5c24\u5176\u9002\u5408\u7528\u4e8e\u6570\u636e\u79d1\u5b66\u548c\u673a\u5668\u5b66\u4e60\u9886\u57df\uff0c\u5b83\u63d0\u4f9b\u4e86\u4e00\u4e2a\u4ea4\u4e92\u5f0f\u7684\u7f16\u7a0b\u73af\u5883\uff0c\u7528\u6237\u53ef\u4ee5\u5728\u5176\u4e2d\u8fdb\u884c\u6570\u636e\u63a2\u7d22\u3001\u53ef\u89c6\u5316\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n<\/li>\n<\/ul>\n<p><h3>\u4e94\u3001\u5e94\u7528\u573a\u666f\u53ca\u5b9e\u4f8b<\/h3>\n<\/p>\n<p><p>Python\u7684\u5e7f\u6cdb\u5e94\u7528\u573a\u666f\u4f7f\u5f97\u5176\u80fd\u591f\u5728\u591a\u4e2a\u9886\u57df\u66ff\u4ee3MATLAB\u3002<\/p>\n<\/p>\n<p><h4>1. \u79d1\u5b66\u8ba1\u7b97\u548c\u6570\u636e\u5206\u6790<\/h4>\n<\/p>\n<p><p>Python\u5728\u79d1\u5b66\u8ba1\u7b97\u548c\u6570\u636e\u5206\u6790\u9886\u57df\u7684\u5e94\u7528\u975e\u5e38\u5e7f\u6cdb\uff0c\u5f97\u76ca\u4e8e\u5176\u4e30\u5bcc\u7684\u5e93\u652f\u6301\u548c\u6d3b\u8dc3\u7684\u793e\u533a\u8d44\u6e90\u3002<\/p>\n<\/p>\n<ul>\n<li>\n<p><strong>\u5728\u79d1\u5b66\u8ba1\u7b97\u9886\u57df\uff0cPython\u80fd\u591f\u5904\u7406\u590d\u6742\u7684\u6570\u5b66\u8fd0\u7b97\u548c\u6a21\u62df<\/strong>\u3002\u4f8b\u5982\uff0c\u901a\u8fc7SciPy\uff0c\u7814\u7a76\u4eba\u5458\u53ef\u4ee5\u8fdb\u884c\u6570\u503c\u79ef\u5206\u3001\u4f18\u5316\u3001\u4fe1\u53f7\u5904\u7406\u7b49\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p>\u5728\u6570\u636e\u5206\u6790\u9886\u57df\uff0cPandas\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u64cd\u4f5c\u80fd\u529b\uff0c\u80fd\u591f\u5904\u7406\u5927\u89c4\u6a21\u7684\u6570\u636e\u96c6\u3002\u7ed3\u5408Matplotlib\u548cSeaborn\uff0c\u7528\u6237\u53ef\u4ee5\u8fdb\u884c\u5168\u9762\u7684\u6570\u636e\u63a2\u7d22\u548c\u53ef\u89c6\u5316\u3002<\/p>\n<\/p>\n<\/li>\n<\/ul>\n<p><h4>2. \u673a\u5668\u5b66\u4e60\u548c\u4eba\u5de5\u667a\u80fd<\/h4>\n<\/p>\n<p><p>Python\u5728\u673a\u5668\u5b66\u4e60\u548c\u4eba\u5de5\u667a\u80fd\u9886\u57df\u53d6\u5f97\u4e86\u663e\u8457\u7684\u8fdb\u5c55\uff0c\u6210\u4e3a\u8fd9\u4e00\u9886\u57df\u7684\u9996\u9009\u8bed\u8a00\u4e4b\u4e00\u3002<\/p>\n<\/p>\n<ul>\n<li>\n<p><strong>TensorFlow\u3001PyTorch\u3001scikit-learn\u7b49\u5e93\u4e3aPython\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u529f\u80fd<\/strong>\u3002\u7814\u7a76\u4eba\u5458\u548c\u5de5\u7a0b\u5e08\u53ef\u4ee5\u901a\u8fc7\u8fd9\u4e9b\u5e93\u5feb\u901f\u6784\u5efa\u548c\u8bad\u7ec3\u6a21\u578b\uff0c\u8fdb\u884c\u9884\u6d4b\u548c\u5206\u7c7b\u4efb\u52a1\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p>Python\u7684\u7075\u6d3b\u6027\u548c\u6613\u7528\u6027\u4f7f\u5f97\u5176\u5728\u673a\u5668\u5b66\u4e60\u548c\u4eba\u5de5\u667a\u80fd\u9886\u57df\u5f97\u5230\u4e86\u5e7f\u6cdb\u7684\u5e94\u7528\u3002\u65e0\u8bba\u662f\u5b66\u672f\u7814\u7a76\u8fd8\u662f\u5de5\u4e1a\u5e94\u7528\uff0cPython\u90fd\u80fd\u591f\u80dc\u4efb\u3002<\/p>\n<\/p>\n<\/li>\n<\/ul>\n<p><h4>3. 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