{"id":923068,"date":"2024-12-26T14:43:24","date_gmt":"2024-12-26T06:43:24","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/923068.html"},"modified":"2024-12-26T14:43:26","modified_gmt":"2024-12-26T06:43:26","slug":"%e5%a6%82%e4%bd%95%e8%bf%90%e7%94%a8python","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/923068.html","title":{"rendered":"\u5982\u4f55\u8fd0\u7528python"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/24211317\/3ae63285-c116-4fd1-90bb-a5d6cce784f0.webp\" alt=\"\u5982\u4f55\u8fd0\u7528python\" \/><\/p>\n<p><p> <strong>\u8fd0\u7528Python\u7684\u65b9\u5f0f\u591a\u79cd\u591a\u6837\uff0c\u5305\u62ec\u6570\u636e\u5206\u6790\u3001\u81ea\u52a8\u5316\u3001Web\u5f00\u53d1\u3001<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u7b49\u3002\u5728\u8fd9\u4e9b\u9886\u57df\u4e2d\uff0cPython\u4ee5\u5176\u7b80\u6d01\u7684\u8bed\u6cd5\u3001\u5f3a\u5927\u7684\u5e93\u548c\u793e\u533a\u652f\u6301\u800c\u5e7f\u53d7\u6b22\u8fce\u3002<\/strong>\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u5728\u8fd9\u4e9b\u9886\u57df\u4e2d\u8fd0\u7528Python\uff0c\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u7406\u89e3\u5176\u5e94\u7528\u65b9\u5f0f\u548c\u4f18\u52bf\u3002<\/p>\n<\/p>\n<p><p>\u4e00\u3001\u6570\u636e\u5206\u6790\u4e0e\u5904\u7406<\/p>\n<\/p>\n<p><p>Python\u5728\u6570\u636e\u5206\u6790\u9886\u57df\u7684\u5e94\u7528\u5c24\u4e3a\u5e7f\u6cdb\uff0c\u4e3b\u8981\u662f\u56e0\u4e3a\u5176\u4e30\u5bcc\u7684\u5e93\u5982Pandas\u3001NumPy\u548cMatplotlib\u7b49\u3002Pandas\u7528\u4e8e\u6570\u636e\u64cd\u4f5c\u548c\u5206\u6790\uff0c\u63d0\u4f9b\u4e86\u5feb\u901f\u7075\u6d3b\u7684\u6570\u636e\u7ed3\u6784\uff1bNumPy\u4e3b\u8981\u7528\u4e8e\u6570\u503c\u8ba1\u7b97\uff0c\u63d0\u4f9b\u4e86\u652f\u6301\u5927\u91cf\u7ef4\u5ea6\u6570\u7ec4\u4e0e\u77e9\u9635\u8fd0\u7b97\u7684\u529f\u80fd\uff1b\u800cMatplotlib\u5219\u662f\u4e00\u79cd\u6570\u636e\u53ef\u89c6\u5316\u5de5\u5177\uff0c\u53ef\u4ee5\u751f\u6210\u5404\u79cd\u56fe\u8868\u3002<\/p>\n<\/p>\n<ul>\n<li>\n<p><strong>Pandas\u7684\u5e94\u7528<\/strong><br \/>Pandas\u63d0\u4f9b\u4e86DataFrame\u548cSeries\u4e24\u79cd\u6570\u636e\u7ed3\u6784\uff0c\u6781\u5927\u5730\u7b80\u5316\u4e86\u6570\u636e\u6e05\u6d17\u548c\u5904\u7406\u7684\u8fc7\u7a0b\u3002\u901a\u8fc7Pandas\uff0c\u4f60\u53ef\u4ee5\u8f7b\u677e\u5730\u8fdb\u884c\u6570\u636e\u7b5b\u9009\u3001\u5408\u5e76\u3001\u5206\u7ec4\u3001\u900f\u89c6\u8868\u64cd\u4f5c\u7b49\u3002\u4f8b\u5982\uff0c\u8bfb\u53d6CSV\u6587\u4ef6\u3001\u5904\u7406\u7f3a\u5931\u503c\u3001\u8ba1\u7b97\u7edf\u8ba1\u6570\u636e\u7b49\u90fd\u53ef\u4ee5\u901a\u8fc7\u51e0\u884c\u4ee3\u7801\u5b9e\u73b0\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>NumPy\u7684\u5e94\u7528<\/strong><br \/>NumPy\u662f\u8fdb\u884c\u6570\u503c\u8ba1\u7b97\u7684\u57fa\u7840\u5de5\u5177\uff0c\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u7ec4\u5bf9\u8c61\uff0c\u80fd\u591f\u6267\u884c\u9ad8\u6548\u7684\u7b97\u672f\u8fd0\u7b97\u548c\u590d\u6742\u7684\u5e7f\u64ad\u529f\u80fd\u3002\u5176\u7ebf\u6027\u4ee3\u6570\u3001\u5085\u91cc\u53f6\u53d8\u6362\u548c\u968f\u673a\u6570\u751f\u6210\u7b49\u529f\u80fd\u5bf9\u4e8e\u79d1\u5b66\u8ba1\u7b97\u975e\u5e38\u6709\u5e2e\u52a9\u3002<\/p>\n<\/p>\n<\/li>\n<\/ul>\n<p><p>\u4e8c\u3001\u81ea\u52a8\u5316\u4efb\u52a1<\/p>\n<\/p>\n<p><p>Python\u8fd8\u88ab\u5e7f\u6cdb\u7528\u4e8e\u81ea\u52a8\u5316\u811a\u672c\u7f16\u5199\u4e2d\u3002\u901a\u8fc7\u7f16\u5199Python\u811a\u672c\uff0c\u53ef\u4ee5\u81ea\u52a8\u6267\u884c\u8bb8\u591a\u7e41\u7410\u7684\u4efb\u52a1\uff0c\u5982\u6587\u4ef6\u5904\u7406\u3001\u7f51\u7edc\u722c\u866b\u3001\u6570\u636e\u6293\u53d6\u7b49\u3002<\/p>\n<\/p>\n<ul>\n<li>\n<p><strong>\u81ea\u52a8\u5316\u529e\u516c<\/strong><br \/>\u5229\u7528Python\u7684\u5e93\u5982openpyxl\u3001pyautogui\u7b49\uff0c\u53ef\u4ee5\u81ea\u52a8\u5316\u5904\u7406Excel\u8868\u683c\u3001PowerPoint\u6f14\u793a\u6587\u7a3f\u4ee5\u53ca\u5176\u4ed6\u529e\u516c\u8f6f\u4ef6\u7684\u6570\u636e\u5904\u7406\u4efb\u52a1\uff0c\u8fd9\u5927\u5927\u63d0\u9ad8\u4e86\u529e\u516c\u6548\u7387\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u7f51\u7edc\u722c\u866b<\/strong><br \/>\u901a\u8fc7Scrapy\u3001BeautifulSoup\u7b49\u5e93\uff0cPython\u53ef\u4ee5\u8f7b\u677e\u6293\u53d6\u548c\u89e3\u6790\u7f51\u9875\u5185\u5bb9\u3002\u4f60\u53ef\u4ee5\u81ea\u52a8\u5316\u722c\u53d6\u7f51\u7ad9\u4e0a\u7684\u6570\u636e\u5e76\u5b58\u50a8\u5230\u672c\u5730\uff0c\u8fdb\u884c\u5206\u6790\u6216\u5176\u4ed6\u7528\u9014\u3002<\/p>\n<\/p>\n<\/li>\n<\/ul>\n<p><p>\u4e09\u3001Web\u5f00\u53d1<\/p>\n<\/p>\n<p><p>\u5728Web\u5f00\u53d1\u9886\u57df\uff0cPython\u7684\u6846\u67b6\u5982Django\u548cFlask\u88ab\u5e7f\u6cdb\u5e94\u7528\u3002\u5b83\u4eec\u5e2e\u52a9\u5f00\u53d1\u8005\u5feb\u901f\u5efa\u7acb\u529f\u80fd\u5f3a\u5927\u7684Web\u5e94\u7528\u7a0b\u5e8f\u3002<\/p>\n<\/p>\n<ul>\n<li>\n<p><strong>Django\u6846\u67b6<\/strong><br \/>Django\u662f\u4e00\u4e2a\u9ad8\u5c42\u6b21\u7684Python Web\u6846\u67b6\uff0c\u5b83\u9f13\u52b1\u5feb\u901f\u5f00\u53d1\u548c\u7b80\u6d01\u3001\u5b9e\u7528\u7684\u8bbe\u8ba1\u3002Django\u63d0\u4f9b\u4e86\u5f88\u591a\u5373\u5f00\u5373\u7528\u7684\u529f\u80fd\uff0c\u5982\u8ba4\u8bc1\u3001URL\u8def\u7531\u3001\u6a21\u677f\u5f15\u64ce\u7b49\uff0c\u9002\u5408\u5f00\u53d1\u590d\u6742\u7684\u5927\u578b\u5e94\u7528\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>Flask\u6846\u67b6<\/strong><br \/>Flask\u662f\u4e00\u4e2a\u5fae\u6846\u67b6\uff0c\u9002\u5408\u5f00\u53d1\u5c0f\u578b\u5e94\u7528\u3002\u5b83\u7075\u6d3b\u8f7b\u91cf\uff0c\u6613\u4e8e\u4e0a\u624b\uff0c\u975e\u5e38\u9002\u5408\u521d\u5b66\u8005\u548c\u5c0f\u9879\u76ee\u3002Flask\u63d0\u4f9b\u4e86\u6838\u5fc3\u7684\u8def\u7531\u548c\u6a21\u677f\u529f\u80fd\uff0c\u5f00\u53d1\u8005\u53ef\u4ee5\u6839\u636e\u9700\u8981\u6269\u5c55\u529f\u80fd\u3002<\/p>\n<\/p>\n<\/li>\n<\/ul>\n<p><p>\u56db\u3001\u673a\u5668\u5b66\u4e60\u4e0e<a href=\"https:\/\/docs.pingcode.com\/tag\/AI\" target=\"_blank\">\u4eba\u5de5\u667a\u80fd<\/a><\/p>\n<\/p>\n<p><p>Python\u5728\u673a\u5668\u5b66\u4e60\u9886\u57df\u7684\u5e94\u7528\u4e5f\u975e\u5e38\u5e7f\u6cdb\uff0c\u5f97\u76ca\u4e8e\u5176\u5f3a\u5927\u7684\u5e93\u5982Scikit-learn\u3001TensorFlow\u3001Keras\u548cPyTorch\u7b49\u3002\u8fd9\u4e9b\u5e93\u63d0\u4f9b\u4e86\u4ece\u6570\u636e\u9884\u5904\u7406\u3001\u6a21\u578b\u6784\u5efa\u5230\u9884\u6d4b\u7684\u5168\u6d41\u7a0b\u652f\u6301\u3002<\/p>\n<\/p>\n<ul>\n<li>\n<p><strong>Scikit-learn<\/strong><br \/>Scikit-learn\u662f\u4e00\u4e2a\u7b80\u5355\u9ad8\u6548\u7684\u6570\u636e\u6316\u6398\u548c\u6570\u636e\u5206\u6790\u5de5\u5177\uff0c\u5b83\u5efa\u7acb\u5728NumPy\u3001SciPy\u548cMatplotlib\u4e4b\u4e0a\u3002\u9002\u5408\u5904\u7406\u5404\u79cd\u7ecf\u5178\u673a\u5668\u5b66\u4e60\u95ee\u9898\uff0c\u5982\u5206\u7c7b\u3001\u56de\u5f52\u548c\u805a\u7c7b\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>TensorFlow\u548cKeras<\/strong><br \/>TensorFlow\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u673a\u5668\u5b66\u4e60\u6846\u67b6\uff0c\u800cKeras\u662f\u4e00\u4e2a\u9ad8\u5c42\u795e\u7ecf\u7f51\u7edcAPI\uff0c\u80fd\u591f\u8fd0\u884c\u5728TensorFlow\u4e4b\u4e0a\u3002\u5b83\u4eec\u4e00\u8d77\u63d0\u4f9b\u4e86\u6df1\u5ea6\u5b66\u4e60\u7684\u5b8c\u6574\u89e3\u51b3\u65b9\u6848\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>PyTorch<\/strong><br \/>PyTorch\u662f\u4e00\u4e2a\u57fa\u4e8eTorch\u7684\u5f00\u6e90\u673a\u5668\u5b66\u4e60\u5e93\uff0c\u4e3b\u8981\u7528\u4e8e\u81ea\u7136\u8bed\u8a00\u5904\u7406\u3002\u5b83\u4ee5\u5176\u7075\u6d3b\u6027\u548c\u52a8\u6001\u8ba1\u7b97\u56fe\u7684\u7279\u6027\u5438\u5f15\u4e86\u5927\u91cf\u7684\u7814\u7a76\u4eba\u5458\u548c\u5f00\u53d1\u8005\u3002<\/p>\n<\/p>\n<\/li>\n<\/ul>\n<p><p>\u4e94\u3001\u79d1\u5b66\u8ba1\u7b97\u4e0e\u7814\u7a76<\/p>\n<\/p>\n<p><p>Python\u5728\u79d1\u5b66\u8ba1\u7b97\u548c\u7814\u7a76\u9886\u57df\u4e5f\u88ab\u5e7f\u6cdb\u5e94\u7528\u3002\u79d1\u5b66\u8ba1\u7b97\u5e93\u5982SciPy\u3001SymPy\u7b49\u4e3a\u79d1\u5b66\u7814\u7a76\u63d0\u4f9b\u4e86\u6781\u5927\u7684\u4fbf\u5229\u3002<\/p>\n<\/p>\n<ul>\n<li>\n<p><strong>SciPy\u5e93<\/strong><br \/>SciPy\u662f\u4e00\u4e2a\u7528\u4e8e\u79d1\u5b66\u548c\u5de5\u7a0b\u7684Python\u5e93\uff0c\u5b83\u6269\u5c55\u4e86NumPy\u7684\u529f\u80fd\uff0c\u63d0\u4f9b\u4e86\u8bb8\u591a\u7528\u6237\u53cb\u597d\u7684\u548c\u9ad8\u6548\u7684\u8ba1\u7b97\u5de5\u5177\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>SymPy\u5e93<\/strong><br \/>SymPy\u662f\u4e00\u4e2aPython\u7684\u7b26\u53f7\u6570\u5b66\u5e93\uff0c\u80fd\u591f\u8fdb\u884c\u4ee3\u6570\u8fd0\u7b97\u3001\u5fae\u79ef\u5206\u3001\u79bb\u6563\u6570\u5b66\u7b49\u591a\u79cd\u6570\u5b66\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<\/li>\n<\/ul>\n<p><p>\u516d\u3001\u6e38\u620f\u5f00\u53d1<\/p>\n<\/p>\n<p><p>\u867d\u7136Python\u4e0d\u662f\u6e38\u620f\u5f00\u53d1\u7684\u4e3b\u6d41\u8bed\u8a00\uff0c\u4f46\u4ecd\u7136\u6709Pygame\u8fd9\u6837\u4f18\u79c0\u7684\u5e93\u53ef\u4ee5\u7528\u4e8e\u5f00\u53d12D\u6e38\u620f\u3002Pygame\u63d0\u4f9b\u4e86\u7f16\u5199\u6e38\u620f\u6240\u9700\u7684\u57fa\u672c\u529f\u80fd\uff0c\u5982\u6e32\u67d3\u56fe\u50cf\u3001\u5904\u7406\u58f0\u97f3\u3001\u54cd\u5e94\u7528\u6237\u8f93\u5165\u7b49\u3002<\/p>\n<\/p>\n<p><p>\u4e03\u3001\u7269\u8054\u7f51\u4e0e\u5d4c\u5165\u5f0f\u7cfb\u7edf<\/p>\n<\/p>\n<p><p>Python\u7531\u4e8e\u5176\u5f3a\u5927\u7684\u529f\u80fd\u548c\u7b80\u4fbf\u7684\u8bed\u6cd5\uff0c\u4e5f\u88ab\u5e94\u7528\u4e8e\u7269\u8054\u7f51\u548c\u5d4c\u5165\u5f0f\u7cfb\u7edf\u7684\u5f00\u53d1\u4e2d\u3002MicroPython\u548cCircuitPython\u662fPython\u7684\u4e24\u4e2a\u884d\u751f\u7248\u672c\uff0c\u9002\u7528\u4e8e\u5728\u5fae\u63a7\u5236\u5668\u4e0a\u8fd0\u884c\u3002<\/p>\n<\/p>\n<ul>\n<li>\n<p><strong>MicroPython<\/strong><br \/>MicroPython\u662f\u4e00\u4e2a\u7cbe\u7b80\u548c\u9ad8\u6548\u7684Python\u5b9e\u73b0\uff0c\u80fd\u591f\u5728\u5fae\u63a7\u5236\u5668\u4e0a\u8fd0\u884c\uff0c\u9002\u5408\u5d4c\u5165\u5f0f\u7cfb\u7edf\u5f00\u53d1\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>CircuitPython<\/strong><br \/>CircuitPython\u662fAdafruit\u516c\u53f8\u63a8\u51fa\u7684\u4e00\u79cdPython\u7248\u672c\uff0c\u4e13\u4e3a\u7535\u5b50\u4ea7\u54c1\u539f\u578b\u5f00\u53d1\u800c\u8bbe\u8ba1\uff0c\u9002\u5408\u4e8e\u6559\u80b2\u548c\u5feb\u901f\u5f00\u53d1\u3002<\/p>\n<\/p>\n<\/li>\n<\/ul>\n<p><p>\u516b\u3001\u91d1\u878d\u79d1\u6280\u4e0e\u533a\u5757\u94fe<\/p>\n<\/p>\n<p><p>Python\u5728\u91d1\u878d\u79d1\u6280\u9886\u57df\u5e94\u7528\u5e7f\u6cdb\uff0c\u5c24\u5176\u662f\u5728\u7b97\u6cd5\u4ea4\u6613\u3001\u98ce\u9669\u7ba1\u7406\u548c\u91d1\u878d\u6570\u636e\u5206\u6790\u4e2d\u3002\u5176\u7b80\u5355\u7684\u8bed\u6cd5\u548c\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u80fd\u529b\u4f7f\u5176\u6210\u4e3a\u91d1\u878d\u5de5\u7a0b\u5e08\u7684\u9996\u9009\u8bed\u8a00\u3002<\/p>\n<\/p>\n<ul>\n<li>\n<p><strong>\u7b97\u6cd5\u4ea4\u6613<\/strong><br \/>Python\u7684\u5e93\u5982Zipline\u3001PyAlgoTrade\u7b49\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u5de5\u5177\uff0c\u7528\u4e8e\u5f00\u53d1\u548c\u6d4b\u8bd5\u4ea4\u6613\u7b56\u7565\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u533a\u5757\u94fe\u5f00\u53d1<\/strong><br 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