{"id":1164901,"date":"2025-01-15T15:13:40","date_gmt":"2025-01-15T07:13:40","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1164901.html"},"modified":"2025-01-15T15:13:43","modified_gmt":"2025-01-15T07:13:43","slug":"python%e5%a6%82%e4%bd%95%e6%9f%a5%e7%9c%8b%e5%8c%85%e7%9a%84%e7%94%a8%e6%b3%95","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1164901.html","title":{"rendered":"python\u5982\u4f55\u67e5\u770b\u5305\u7684\u7528\u6cd5"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25205353\/b49b26c5-d683-4737-b69f-f016b611a705.webp\" alt=\"python\u5982\u4f55\u67e5\u770b\u5305\u7684\u7528\u6cd5\" \/><\/p>\n<p><p> <strong>\u67e5\u770bPython\u5305\u7684\u7528\u6cd5\u53ef\u4ee5\u901a\u8fc7\u67e5\u9605\u5b98\u65b9\u6587\u6863\u3001\u4f7f\u7528\u5185\u7f6e\u5e2e\u52a9\u51fd\u6570\u3001\u53c2\u8003\u793a\u4f8b\u4ee3\u7801\u3001\u5728\u7ebf\u8bba\u575b\u548c\u793e\u533a\u3001\u4ee5\u53ca\u901a\u8fc7IDE\u548c\u7f16\u8f91\u5668\u6765\u5b9e\u73b0\u3002<\/strong>\u5176\u4e2d\uff0c<strong>\u67e5\u9605\u5b98\u65b9\u6587\u6863<\/strong>\u662f\u6700\u76f4\u63a5\u6709\u6548\u7684\u65b9\u5f0f\uff0c\u56e0\u4e3a\u5b98\u65b9\u6587\u6863\u901a\u5e38\u4f1a\u8be6\u7ec6\u4ecb\u7ecd\u5305\u7684\u529f\u80fd\u3001\u6a21\u5757\u3001\u7c7b\u548c\u65b9\u6cd5\u3002\u4ee5\u4e0b\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u67e5\u9605\u5b98\u65b9\u6587\u6863\u8fd9\u4e00\u70b9\u3002<\/p>\n<\/p>\n<p><h3>\u67e5\u9605\u5b98\u65b9\u6587\u6863<\/h3>\n<\/p>\n<p><p>\u5b98\u65b9\u6587\u6863\u901a\u5e38\u662f\u6700\u6743\u5a01\u548c\u5168\u9762\u7684\u8d44\u6e90\u3002\u5927\u591a\u6570\u6d41\u884c\u7684Python\u5305\u90fd\u4f1a\u6709\u81ea\u5df1\u7684\u5b98\u65b9\u6587\u6863\u7f51\u7ad9\uff0c\u8fd9\u4e9b\u6587\u6863\u901a\u5e38\u5305\u542b\u4ee5\u4e0b\u5185\u5bb9\uff1a<\/p>\n<\/p>\n<ul>\n<li><strong>\u6982\u8ff0\u548c\u7b80\u4ecb<\/strong>\uff1a\u7b80\u5355\u4ecb\u7ecd\u5305\u7684\u529f\u80fd\u548c\u5e94\u7528\u573a\u666f\u3002<\/li>\n<li><strong>\u5b89\u88c5\u6307\u5357<\/strong>\uff1a\u5982\u4f55\u5b89\u88c5\u548c\u914d\u7f6e\u5305\u3002<\/li>\n<li><strong>\u6a21\u5757\u548c\u5b50\u5305\u7684\u8be6\u7ec6\u8bf4\u660e<\/strong>\uff1a\u6bcf\u4e2a\u6a21\u5757\u548c\u5b50\u5305\u7684\u529f\u80fd\u4ecb\u7ecd\u3002<\/li>\n<li><strong>\u7c7b\u548c\u65b9\u6cd5\u7684\u8be6\u7ec6\u8bf4\u660e<\/strong>\uff1a\u7c7b\u548c\u65b9\u6cd5\u7684\u529f\u80fd\u3001\u53c2\u6570\u3001\u8fd4\u56de\u503c\u4ee5\u53ca\u4f7f\u7528\u793a\u4f8b\u3002<\/li>\n<li><strong>\u5e38\u89c1\u95ee\u9898\u548c\u89e3\u51b3\u65b9\u6848<\/strong>\uff1a\u5e2e\u52a9\u7528\u6237\u89e3\u51b3\u5e38\u89c1\u7684\u4f7f\u7528\u95ee\u9898\u3002<\/li>\n<\/ul>\n<p><p>\u4f8b\u5982\uff0cPython\u7684\u6807\u51c6\u5e93\u548c\u5927\u591a\u6570\u7b2c\u4e09\u65b9\u5e93\u90fd\u6709\u81ea\u5df1\u7684\u6587\u6863\u7f51\u7ad9\uff0c\u5982<a href=\"https:\/\/docs.python.org\/3\/library\/index.html\">Python\u6807\u51c6\u5e93\u6587\u6863<\/a>\u548c<a href=\"https:\/\/numpy.org\/doc\/\">NumPy\u6587\u6863<\/a>\u3002\u7528\u6237\u53ef\u4ee5\u901a\u8fc7\u641c\u7d22\u5f15\u64ce\u67e5\u627e\u76f8\u5173\u6587\u6863\uff0c\u5e76\u6839\u636e\u6587\u6863\u4e2d\u7684\u8bf4\u660e\u8fdb\u884c\u5b66\u4e60\u548c\u4f7f\u7528\u3002<\/p>\n<\/p>\n<p><h3>\u4f7f\u7528\u5185\u7f6e\u5e2e\u52a9\u51fd\u6570<\/h3>\n<\/p>\n<p><p>Python\u63d0\u4f9b\u4e86\u5185\u7f6e\u7684<code>help()<\/code>\u51fd\u6570\uff0c\u53ef\u4ee5\u76f4\u63a5\u5728\u4ea4\u4e92\u5f0f\u89e3\u91ca\u5668\u4e2d\u67e5\u770b\u5305\u3001\u6a21\u5757\u3001\u7c7b\u6216\u51fd\u6570\u7684\u6587\u6863\u5b57\u7b26\u4e32\u3002\u4f7f\u7528\u65b9\u6cd5\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p>help(np)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u4e2a\u547d\u4ee4\u4f1a\u663e\u793aNumPy\u5305\u7684\u8be6\u7ec6\u8bf4\u660e\uff0c\u5305\u62ec\u6a21\u5757\u3001\u51fd\u6570\u548c\u7c7b\u7684\u6587\u6863\u5b57\u7b26\u4e32\u3002<\/p>\n<\/p>\n<p><h3>\u53c2\u8003\u793a\u4f8b\u4ee3\u7801<\/h3>\n<\/p>\n<p><p>\u5927\u591a\u6570\u5b98\u65b9\u6587\u6863\u548c\u7b2c\u4e09\u65b9\u6559\u7a0b\u4e2d\u90fd\u4f1a\u63d0\u4f9b\u793a\u4f8b\u4ee3\u7801\uff0c\u8fd9\u4e9b\u4ee3\u7801\u53ef\u4ee5\u5e2e\u52a9\u7528\u6237\u5feb\u901f\u4e86\u89e3\u5305\u7684\u57fa\u672c\u7528\u6cd5\u548c\u5e38\u89c1\u64cd\u4f5c\u3002\u793a\u4f8b\u4ee3\u7801\u901a\u5e38\u53ef\u4ee5\u5728\u5b98\u65b9\u6587\u6863\u3001GitHub\u4ed3\u5e93\u3001\u535a\u5ba2\u6587\u7ae0\u548c\u5728\u7ebf\u6559\u7a0b\u4e2d\u627e\u5230\u3002<\/p>\n<\/p>\n<p><h3>\u5728\u7ebf\u8bba\u575b\u548c\u793e\u533a<\/h3>\n<\/p>\n<p><p>\u5728\u7ebf\u8bba\u575b\u548c\u793e\u533a\u4e5f\u662f\u83b7\u53d6\u5305\u4f7f\u7528\u65b9\u6cd5\u7684\u91cd\u8981\u8d44\u6e90\u3002\u4f8b\u5982\uff0cStack Overflow\u3001Reddit\u7684r\/learnpython\u548cPython\u5b98\u65b9\u7684\u90ae\u4ef6\u5217\u8868\u7b49\u3002\u7528\u6237\u53ef\u4ee5\u5728\u8fd9\u4e9b\u5e73\u53f0\u4e0a\u63d0\u95ee\u6216\u641c\u7d22\u5df2\u6709\u7684\u95ee\u9898\u548c\u7b54\u6848\uff0c\u83b7\u53d6\u5176\u4ed6\u7528\u6237\u7684\u7ecf\u9a8c\u548c\u5efa\u8bae\u3002<\/p>\n<\/p>\n<p><h3>IDE\u548c\u7f16\u8f91\u5668<\/h3>\n<\/p>\n<p><p>\u73b0\u4ee3\u7684IDE\u548c\u7f16\u8f91\u5668\uff08\u5982PyCharm\u3001VSCode\uff09\u901a\u5e38\u4f1a\u63d0\u4f9b\u4ee3\u7801\u8865\u5168\u548c\u6587\u6863\u67e5\u770b\u529f\u80fd\u3002\u5f53\u4f60\u8f93\u5165\u5305\u540d\u6216\u51fd\u6570\u540d\u65f6\uff0cIDE\u4f1a\u81ea\u52a8\u5f39\u51fa\u76f8\u5173\u7684\u6587\u6863\u548c\u53c2\u6570\u8bf4\u660e\uff0c\u5e2e\u52a9\u4f60\u5feb\u901f\u4e86\u89e3\u5305\u7684\u7528\u6cd5\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u5b98\u65b9\u6587\u6863\u7684\u67e5\u9605<\/h3>\n<\/p>\n<p><p>\u5b98\u65b9\u6587\u6863\u662f\u4e86\u89e3Python\u5305\u6700\u6743\u5a01\u548c\u5168\u9762\u7684\u8d44\u6e90\u3002\u5927\u591a\u6570\u6d41\u884c\u7684Python\u5305\u90fd\u6709\u81ea\u5df1\u7684\u5b98\u65b9\u6587\u6863\u7f51\u7ad9\uff0c\u8fd9\u4e9b\u6587\u6863\u901a\u5e38\u5305\u542b\u4ee5\u4e0b\u5185\u5bb9\uff1a<\/p>\n<\/p>\n<p><h4>1.1 \u6982\u8ff0\u548c\u7b80\u4ecb<\/h4>\n<\/p>\n<p><p>\u5b98\u65b9\u6587\u6863\u901a\u5e38\u4f1a\u5728\u5f00\u5934\u90e8\u5206\u63d0\u4f9b\u5305\u7684\u6982\u8ff0\u548c\u7b80\u4ecb\uff0c\u4ecb\u7ecd\u5305\u7684\u4e3b\u8981\u529f\u80fd\u3001\u5e94\u7528\u573a\u666f\u4ee5\u53ca\u8bbe\u8ba1\u7406\u5ff5\u3002\u8fd9\u90e8\u5206\u5185\u5bb9\u53ef\u4ee5\u5e2e\u52a9\u7528\u6237\u5feb\u901f\u4e86\u89e3\u5305\u7684\u7528\u9014\u548c\u57fa\u672c\u6982\u5ff5\u3002\u4f8b\u5982\uff0cNumPy\u7684\u5b98\u65b9\u6587\u6863\u4f1a\u4ecb\u7ecdNumPy\u662f\u4e00\u4e2a\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u7684\u5e93\uff0c\u4e3b\u8981\u7528\u4e8e\u5904\u7406\u591a\u7ef4\u6570\u7ec4\u548c\u77e9\u9635\u8fd0\u7b97\u3002<\/p>\n<\/p>\n<p><h4>1.2 \u5b89\u88c5\u6307\u5357<\/h4>\n<\/p>\n<p><p>\u5b98\u65b9\u6587\u6863\u901a\u5e38\u4f1a\u5305\u542b\u8be6\u7ec6\u7684\u5b89\u88c5\u6307\u5357\uff0c\u6307\u5bfc\u7528\u6237\u5982\u4f55\u5728\u4e0d\u540c\u7684\u5e73\u53f0\u4e0a\u5b89\u88c5\u548c\u914d\u7f6e\u5305\u3002\u8fd9\u90e8\u5206\u5185\u5bb9\u901a\u5e38\u5305\u62ec\u4f7f\u7528pip\u6216conda\u7b49\u5305\u7ba1\u7406\u5de5\u5177\u8fdb\u884c\u5b89\u88c5\u7684\u6b65\u9aa4\uff0c\u4ee5\u53ca\u53ef\u80fd\u7684\u4f9d\u8d56\u9879\u548c\u914d\u7f6e\u9009\u9879\u3002\u4f8b\u5982\uff0cNumPy\u7684\u5b98\u65b9\u6587\u6863\u4f1a\u63d0\u4f9b\u5728Windows\u3001macOS\u548cLinux\u5e73\u53f0\u4e0a\u5b89\u88c5NumPy\u7684\u5177\u4f53\u6b65\u9aa4\u3002<\/p>\n<\/p>\n<p><h4>1.3 \u6a21\u5757\u548c\u5b50\u5305\u7684\u8be6\u7ec6\u8bf4\u660e<\/h4>\n<\/p>\n<p><p>\u5b98\u65b9\u6587\u6863\u901a\u5e38\u4f1a\u6309\u6a21\u5757\u548c\u5b50\u5305\u7684\u5c42\u6b21\u7ed3\u6784\u8be6\u7ec6\u8bf4\u660e\u5305\u7684\u529f\u80fd\u3002\u6bcf\u4e2a\u6a21\u5757\u548c\u5b50\u5305\u7684\u6587\u6863\u901a\u5e38\u5305\u62ec\u6a21\u5757\u7684\u529f\u80fd\u4ecb\u7ecd\u3001\u4e3b\u8981\u7c7b\u548c\u51fd\u6570\u7684\u5217\u8868\uff0c\u4ee5\u53ca\u4f7f\u7528\u793a\u4f8b\u3002\u4f8b\u5982\uff0cNumPy\u7684\u5b98\u65b9\u6587\u6863\u4f1a\u6309\u6a21\u5757\uff08\u5982<code>numpy.linalg<\/code>\u3001<code>numpy.fft<\/code>\u7b49\uff09\u8be6\u7ec6\u8bf4\u660e\u6bcf\u4e2a\u6a21\u5757\u7684\u529f\u80fd\u548c\u7528\u6cd5\u3002<\/p>\n<\/p>\n<p><h4>1.4 \u7c7b\u548c\u65b9\u6cd5\u7684\u8be6\u7ec6\u8bf4\u660e<\/h4>\n<\/p>\n<p><p>\u5b98\u65b9\u6587\u6863\u901a\u5e38\u4f1a\u5bf9\u5305\u4e2d\u7684\u7c7b\u548c\u65b9\u6cd5\u8fdb\u884c\u8be6\u7ec6\u8bf4\u660e\uff0c\u5305\u62ec\u7c7b\u7684\u5c5e\u6027\u3001\u65b9\u6cd5\u7684\u53c2\u6570\u548c\u8fd4\u56de\u503c\u3001\u4f7f\u7528\u793a\u4f8b\u7b49\u3002\u8fd9\u90e8\u5206\u5185\u5bb9\u662f\u7528\u6237\u4e86\u89e3\u548c\u4f7f\u7528\u5305\u4e2d\u5177\u4f53\u529f\u80fd\u7684\u5173\u952e\u8d44\u6e90\u3002\u4f8b\u5982\uff0cNumPy\u7684\u5b98\u65b9\u6587\u6863\u4f1a\u8be6\u7ec6\u8bf4\u660e<code>numpy.ndarray<\/code>\u7c7b\u7684\u5c5e\u6027\u548c\u65b9\u6cd5\uff0c\u4ee5\u53ca\u5404\u79cd\u6570\u5b66\u8fd0\u7b97\u51fd\u6570\u7684\u53c2\u6570\u548c\u8fd4\u56de\u503c\u3002<\/p>\n<\/p>\n<p><h4>1.5 \u5e38\u89c1\u95ee\u9898\u548c\u89e3\u51b3\u65b9\u6848<\/h4>\n<\/p>\n<p><p>\u5b98\u65b9\u6587\u6863\u901a\u5e38\u4f1a\u5305\u542b\u4e00\u4e2a\u5e38\u89c1\u95ee\u9898\uff08FAQ\uff09\u90e8\u5206\uff0c\u5e2e\u52a9\u7528\u6237\u89e3\u51b3\u5728\u4f7f\u7528\u5305\u65f6\u53ef\u80fd\u9047\u5230\u7684\u5e38\u89c1\u95ee\u9898\u3002\u8fd9\u90e8\u5206\u5185\u5bb9\u901a\u5e38\u5305\u62ec\u9519\u8bef\u4fe1\u606f\u7684\u89e3\u91ca\u3001\u5e38\u89c1\u914d\u7f6e\u95ee\u9898\u7684\u89e3\u51b3\u65b9\u6848\uff0c\u4ee5\u53ca\u6027\u80fd\u4f18\u5316\u7684\u5efa\u8bae\u3002\u4f8b\u5982\uff0cNumPy\u7684\u5b98\u65b9\u6587\u6863\u4f1a\u63d0\u4f9b\u4e00\u4e9b\u5e38\u89c1\u95ee\u9898\u7684\u89e3\u7b54\uff0c\u5982\u5982\u4f55\u5904\u7406\u6570\u7ec4\u7684\u5f62\u72b6\u4e0d\u5339\u914d\u95ee\u9898\uff0c\u5982\u4f55\u63d0\u9ad8\u6570\u7ec4\u8fd0\u7b97\u7684\u6027\u80fd\u7b49\u3002<\/p>\n<\/p>\n<p><h3>\u4e8c\u3001\u4f7f\u7528\u5185\u7f6e\u5e2e\u52a9\u51fd\u6570<\/h3>\n<\/p>\n<p><p>Python\u63d0\u4f9b\u4e86\u5185\u7f6e\u7684<code>help()<\/code>\u51fd\u6570\uff0c\u53ef\u4ee5\u76f4\u63a5\u5728\u4ea4\u4e92\u5f0f\u89e3\u91ca\u5668\u4e2d\u67e5\u770b\u5305\u3001\u6a21\u5757\u3001\u7c7b\u6216\u51fd\u6570\u7684\u6587\u6863\u5b57\u7b26\u4e32\u3002\u4f7f\u7528\u5185\u7f6e\u5e2e\u52a9\u51fd\u6570\u53ef\u4ee5\u5feb\u901f\u83b7\u53d6\u5305\u7684\u57fa\u672c\u4fe1\u606f\u548c\u7528\u6cd5\u3002<\/p>\n<\/p>\n<p><h4>2.1 \u67e5\u770b\u5305\u7684\u5e2e\u52a9\u4fe1\u606f<\/h4>\n<\/p>\n<p><p>\u4f7f\u7528<code>help()<\/code>\u51fd\u6570\u53ef\u4ee5\u67e5\u770b\u5305\u7684\u5e2e\u52a9\u4fe1\u606f\uff0c\u5305\u62ec\u5305\u7684\u6982\u8ff0\u3001\u6a21\u5757\u548c\u5b50\u5305\u7684\u5217\u8868\u7b49\u3002\u4f8b\u5982\uff0c\u67e5\u770bNumPy\u5305\u7684\u5e2e\u52a9\u4fe1\u606f\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p>help(np)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u4e2a\u547d\u4ee4\u4f1a\u663e\u793aNumPy\u5305\u7684\u8be6\u7ec6\u8bf4\u660e\uff0c\u5305\u62ec\u6a21\u5757\u3001\u51fd\u6570\u548c\u7c7b\u7684\u6587\u6863\u5b57\u7b26\u4e32\u3002<\/p>\n<\/p>\n<p><h4>2.2 \u67e5\u770b\u6a21\u5757\u7684\u5e2e\u52a9\u4fe1\u606f<\/h4>\n<\/p>\n<p><p>\u4f7f\u7528<code>help()<\/code>\u51fd\u6570\u53ef\u4ee5\u67e5\u770b\u6a21\u5757\u7684\u5e2e\u52a9\u4fe1\u606f\uff0c\u5305\u62ec\u6a21\u5757\u7684\u529f\u80fd\u3001\u4e3b\u8981\u7c7b\u548c\u51fd\u6570\u7684\u5217\u8868\u7b49\u3002\u4f8b\u5982\uff0c\u67e5\u770bNumPy\u7684\u7ebf\u6027\u4ee3\u6570\u6a21\u5757\u7684\u5e2e\u52a9\u4fe1\u606f\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p>help(np.linalg)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u4e2a\u547d\u4ee4\u4f1a\u663e\u793aNumPy\u7ebf\u6027\u4ee3\u6570\u6a21\u5757\u7684\u8be6\u7ec6\u8bf4\u660e\uff0c\u5305\u62ec\u4e3b\u8981\u51fd\u6570\u7684\u6587\u6863\u5b57\u7b26\u4e32\u3002<\/p>\n<\/p>\n<p><h4>2.3 \u67e5\u770b\u7c7b\u548c\u51fd\u6570\u7684\u5e2e\u52a9\u4fe1\u606f<\/h4>\n<\/p>\n<p><p>\u4f7f\u7528<code>help()<\/code>\u51fd\u6570\u53ef\u4ee5\u67e5\u770b\u7c7b\u548c\u51fd\u6570\u7684\u5e2e\u52a9\u4fe1\u606f\uff0c\u5305\u62ec\u7c7b\u7684\u5c5e\u6027\u3001\u65b9\u6cd5\u7684\u53c2\u6570\u548c\u8fd4\u56de\u503c\u3001\u4f7f\u7528\u793a\u4f8b\u7b49\u3002\u4f8b\u5982\uff0c\u67e5\u770bNumPy\u6570\u7ec4\u7c7b\u7684\u5e2e\u52a9\u4fe1\u606f\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p>help(np.ndarray)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u4e2a\u547d\u4ee4\u4f1a\u663e\u793a<code>numpy.ndarray<\/code>\u7c7b\u7684\u8be6\u7ec6\u8bf4\u660e\uff0c\u5305\u62ec\u5c5e\u6027\u548c\u65b9\u6cd5\u7684\u6587\u6863\u5b57\u7b26\u4e32\u3002<\/p>\n<\/p>\n<p><h3>\u4e09\u3001\u53c2\u8003\u793a\u4f8b\u4ee3\u7801<\/h3>\n<\/p>\n<p><p>\u793a\u4f8b\u4ee3\u7801\u662f\u5b66\u4e60Python\u5305\u7528\u6cd5\u7684\u91cd\u8981\u8d44\u6e90\u3002\u5927\u591a\u6570\u5b98\u65b9\u6587\u6863\u548c\u7b2c\u4e09\u65b9\u6559\u7a0b\u4e2d\u90fd\u4f1a\u63d0\u4f9b\u793a\u4f8b\u4ee3\u7801\uff0c\u5e2e\u52a9\u7528\u6237\u5feb\u901f\u4e86\u89e3\u5305\u7684\u57fa\u672c\u7528\u6cd5\u548c\u5e38\u89c1\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<p><h4>3.1 \u5b98\u65b9\u6587\u6863\u4e2d\u7684\u793a\u4f8b\u4ee3\u7801<\/h4>\n<\/p>\n<p><p>\u5b98\u65b9\u6587\u6863\u901a\u5e38\u4f1a\u5728\u6bcf\u4e2a\u6a21\u5757\u548c\u51fd\u6570\u7684\u8bf4\u660e\u4e2d\u63d0\u4f9b\u793a\u4f8b\u4ee3\u7801\uff0c\u5c55\u793a\u5982\u4f55\u4f7f\u7528\u5305\u7684\u529f\u80fd\u3002\u4f8b\u5982\uff0cNumPy\u7684\u5b98\u65b9\u6587\u6863\u4f1a\u5728\u6bcf\u4e2a\u51fd\u6570\u7684\u8bf4\u660e\u4e2d\u63d0\u4f9b\u4ee3\u7801\u793a\u4f8b\uff0c\u5c55\u793a\u5982\u4f55\u8fdb\u884c\u6570\u7ec4\u8fd0\u7b97\u3001\u7ebf\u6027\u4ee3\u6570\u8ba1\u7b97\u7b49\u3002<\/p>\n<\/p>\n<p><h4>3.2 \u6559\u7a0b\u548c\u535a\u5ba2\u4e2d\u7684\u793a\u4f8b\u4ee3\u7801<\/h4>\n<\/p>\n<p><p>\u8bb8\u591a\u6559\u7a0b\u548c\u535a\u5ba2\u6587\u7ae0\u4e2d\u4e5f\u4f1a\u63d0\u4f9b\u793a\u4f8b\u4ee3\u7801\uff0c\u5e2e\u52a9\u7528\u6237\u5feb\u901f\u4e0a\u624b\u5305\u7684\u57fa\u672c\u7528\u6cd5\u3002\u4f8b\u5982\uff0c\u8bb8\u591a\u6570\u636e\u79d1\u5b66\u535a\u5ba2\u4e2d\u4f1a\u63d0\u4f9b\u5982\u4f55\u4f7f\u7528NumPy\u8fdb\u884c\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u7684\u793a\u4f8b\u4ee3\u7801\u3002<\/p>\n<\/p>\n<p><h4>3.3 GitHub\u4ed3\u5e93\u4e2d\u7684\u793a\u4f8b\u4ee3\u7801<\/h4>\n<\/p>\n<p><p>\u8bb8\u591a\u5f00\u6e90\u9879\u76ee\u7684GitHub\u4ed3\u5e93\u4e2d\u4e5f\u4f1a\u63d0\u4f9b\u793a\u4f8b\u4ee3\u7801\uff0c\u5c55\u793a\u5982\u4f55\u4f7f\u7528\u5305\u7684\u529f\u80fd\u3002\u4f8b\u5982\uff0c\u8bb8\u591a<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u9879\u76ee\u7684GitHub\u4ed3\u5e93\u4e2d\u4f1a\u63d0\u4f9b\u5982\u4f55\u4f7f\u7528NumPy\u8fdb\u884c\u6570\u636e\u9884\u5904\u7406\u7684\u793a\u4f8b\u4ee3\u7801\u3002<\/p>\n<\/p>\n<p><h3>\u56db\u3001\u5728\u7ebf\u8bba\u575b\u548c\u793e\u533a<\/h3>\n<\/p>\n<p><p>\u5728\u7ebf\u8bba\u575b\u548c\u793e\u533a\u662f\u83b7\u53d6Python\u5305\u4f7f\u7528\u65b9\u6cd5\u7684\u91cd\u8981\u8d44\u6e90\u3002\u7528\u6237\u53ef\u4ee5\u5728\u8fd9\u4e9b\u5e73\u53f0\u4e0a\u63d0\u95ee\u6216\u641c\u7d22\u5df2\u6709\u7684\u95ee\u9898\u548c\u7b54\u6848\uff0c\u83b7\u53d6\u5176\u4ed6\u7528\u6237\u7684\u7ecf\u9a8c\u548c\u5efa\u8bae\u3002<\/p>\n<\/p>\n<p><h4>4.1 Stack Overflow<\/h4>\n<\/p>\n<p><p>Stack Overflow\u662f\u4e00\u4e2a\u5e7f\u53d7\u6b22\u8fce\u7684\u7f16\u7a0b\u95ee\u7b54\u793e\u533a\uff0c\u7528\u6237\u53ef\u4ee5\u5728\u4e0a\u9762\u63d0\u95ee\u548c\u56de\u7b54\u4e0ePython\u5305\u76f8\u5173\u7684\u95ee\u9898\u3002\u901a\u8fc7\u641c\u7d22\u5173\u952e\u8bcd\u6216\u6d4f\u89c8\u76f8\u5173\u6807\u7b7e\uff0c\u7528\u6237\u53ef\u4ee5\u627e\u5230\u8bb8\u591a\u5173\u4e8ePython\u5305\u7528\u6cd5\u7684\u8ba8\u8bba\u548c\u89e3\u51b3\u65b9\u6848\u3002<\/p>\n<\/p>\n<p><h4>4.2 Reddit<\/h4>\n<\/p>\n<p><p>Reddit\u7684r\/learnpython\u548cr\/Python\u7b49\u5b50\u7248\u5757\u4e5f\u662f\u83b7\u53d6Python\u5305\u4f7f\u7528\u65b9\u6cd5\u7684\u91cd\u8981\u8d44\u6e90\u3002\u8fd9\u4e9b\u5b50\u7248\u5757\u4e0a\u6709\u8bb8\u591aPython\u7231\u597d\u8005\u548c\u4e13\u5bb6\uff0c\u7528\u6237\u53ef\u4ee5\u5728\u4e0a\u9762\u63d0\u95ee\u6216\u641c\u7d22\u5df2\u6709\u7684\u8ba8\u8bba\uff0c\u83b7\u53d6\u5176\u4ed6\u7528\u6237\u7684\u7ecf\u9a8c\u548c\u5efa\u8bae\u3002<\/p>\n<\/p>\n<p><h4>4.3 Python\u5b98\u65b9\u90ae\u4ef6\u5217\u8868<\/h4>\n<\/p>\n<p><p>Python\u5b98\u65b9\u7684\u90ae\u4ef6\u5217\u8868\u4e5f\u662f\u4e00\u4e2a\u83b7\u53d6Python\u5305\u4f7f\u7528\u65b9\u6cd5\u7684\u91cd\u8981\u8d44\u6e90\u3002\u7528\u6237\u53ef\u4ee5\u5728\u90ae\u4ef6\u5217\u8868\u4e0a\u8ba2\u9605\u548c\u53c2\u4e0e\u8ba8\u8bba\uff0c\u83b7\u53d6\u6700\u65b0\u7684\u5305\u4f7f\u7528\u65b9\u6cd5\u548c\u6700\u4f73\u5b9e\u8df5\u3002<\/p>\n<\/p>\n<p><h3>\u4e94\u3001IDE\u548c\u7f16\u8f91\u5668<\/h3>\n<\/p>\n<p><p>\u73b0\u4ee3\u7684IDE\u548c\u7f16\u8f91\u5668\uff08\u5982PyCharm\u3001VSCode\uff09\u901a\u5e38\u4f1a\u63d0\u4f9b\u4ee3\u7801\u8865\u5168\u548c\u6587\u6863\u67e5\u770b\u529f\u80fd\uff0c\u5f53\u4f60\u8f93\u5165\u5305\u540d\u6216\u51fd\u6570\u540d\u65f6\uff0cIDE\u4f1a\u81ea\u52a8\u5f39\u51fa\u76f8\u5173\u7684\u6587\u6863\u548c\u53c2\u6570\u8bf4\u660e\uff0c\u5e2e\u52a9\u4f60\u5feb\u901f\u4e86\u89e3\u5305\u7684\u7528\u6cd5\u3002<\/p>\n<\/p>\n<p><h4>5.1 PyCharm<\/h4>\n<\/p>\n<p><p>PyCharm\u662f\u4e00\u4e2a\u6d41\u884c\u7684Python IDE\uff0c\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u4ee3\u7801\u8865\u5168\u548c\u6587\u6863\u67e5\u770b\u529f\u80fd\u3002\u5f53\u4f60\u5728\u4ee3\u7801\u7f16\u8f91\u5668\u4e2d\u8f93\u5165\u5305\u540d\u6216\u51fd\u6570\u540d\u65f6\uff0cPyCharm\u4f1a\u81ea\u52a8\u5f39\u51fa\u76f8\u5173\u7684\u6587\u6863\u548c\u53c2\u6570\u8bf4\u660e\uff0c\u5e2e\u52a9\u4f60\u5feb\u901f\u4e86\u89e3\u5305\u7684\u7528\u6cd5\u3002\u6b64\u5916\uff0cPyCharm\u8fd8\u63d0\u4f9b\u4e86\u96c6\u6210\u7684\u8c03\u8bd5\u5668\u548c\u6d4b\u8bd5\u5de5\u5177\uff0c\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u8c03\u8bd5\u548c\u6d4b\u8bd5\u4ee3\u7801\u3002<\/p>\n<\/p>\n<p><h4>5.2 VSCode<\/h4>\n<\/p>\n<p><p>VSCode\u662f\u4e00\u4e2a\u6d41\u884c\u7684\u4ee3\u7801\u7f16\u8f91\u5668\uff0c\u652f\u6301\u591a\u79cd\u7f16\u7a0b\u8bed\u8a00\u548c\u6269\u5c55\u3002\u901a\u8fc7\u5b89\u88c5Python\u6269\u5c55\uff0cVSCode\u53ef\u4ee5\u63d0\u4f9b\u4ee3\u7801\u8865\u5168\u548c\u6587\u6863\u67e5\u770b\u529f\u80fd\uff0c\u5e2e\u52a9\u4f60\u5feb\u901f\u4e86\u89e3\u5305\u7684\u7528\u6cd5\u3002\u6b64\u5916\uff0cVSCode\u8fd8\u652f\u6301\u96c6\u6210\u7ec8\u7aef\u3001\u8c03\u8bd5\u5668\u548c\u6d4b\u8bd5\u5de5\u5177\uff0c\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u5f00\u53d1\u548c\u8c03\u8bd5\u4ee3\u7801\u3002<\/p>\n<\/p>\n<p><h3>\u516d\u3001\u5176\u4ed6\u8d44\u6e90<\/h3>\n<\/p>\n<p><p>\u9664\u4e86\u4e0a\u8ff0\u65b9\u6cd5\uff0c\u8fd8\u6709\u4e00\u4e9b\u5176\u4ed6\u8d44\u6e90\u53ef\u4ee5\u5e2e\u52a9\u4f60\u4e86\u89e3\u548c\u4f7f\u7528Python\u5305\u3002<\/p>\n<\/p>\n<p><h4>6.1 \u5728\u7ebf\u8bfe\u7a0b\u548c\u57f9\u8bad<\/h4>\n<\/p>\n<p><p>\u8bb8\u591a\u5728\u7ebf\u5b66\u4e60\u5e73\u53f0\uff08\u5982Coursera\u3001Udemy\u3001edX\u7b49\uff09\u63d0\u4f9bPython\u5305\u7684\u5728\u7ebf\u8bfe\u7a0b\u548c\u57f9\u8bad\u3002\u8fd9\u4e9b\u8bfe\u7a0b\u901a\u5e38\u7531\u4e13\u5bb6\u8bb2\u89e3\uff0c\u5305\u542b\u4e30\u5bcc\u7684\u793a\u4f8b\u4ee3\u7801\u548c\u7ec3\u4e60\u9898\uff0c\u5e2e\u52a9\u4f60\u7cfb\u7edf\u5730\u5b66\u4e60Python\u5305\u7684\u7528\u6cd5\u3002<\/p>\n<\/p>\n<p><h4>6.2 \u4e66\u7c4d<\/h4>\n<\/p>\n<p><p>\u8bb8\u591aPython\u5305\u7684\u4f5c\u8005\u548c\u4e13\u5bb6\u4f1a\u51fa\u7248\u76f8\u5173\u7684\u4e66\u7c4d\uff0c\u8fd9\u4e9b\u4e66\u7c4d\u901a\u5e38\u5305\u542b\u8be6\u7ec6\u7684\u7406\u8bba\u8bb2\u89e3\u548c\u793a\u4f8b\u4ee3\u7801\uff0c\u5e2e\u52a9\u4f60\u6df1\u5165\u7406\u89e3\u548c\u4f7f\u7528Python\u5305\u3002\u4f8b\u5982\uff0c\u300aPython\u6570\u636e\u79d1\u5b66\u624b\u518c\u300b\u548c\u300a\u5229\u7528Python\u8fdb\u884c\u6570\u636e\u5206\u6790\u300b\u662f\u5b66\u4e60NumPy\u548c\u5176\u4ed6\u6570\u636e\u79d1\u5b66\u5305\u7684\u7ecf\u5178\u4e66\u7c4d\u3002<\/p>\n<\/p>\n<p><h4>6.3 \u89c6\u9891\u6559\u7a0b<\/h4>\n<\/p>\n<p><p>\u8bb8\u591aYouTube\u9891\u9053\u548c\u89c6\u9891\u7f51\u7ad9\uff08\u5982Pluralsight\u3001Lynda\u7b49\uff09\u63d0\u4f9bPython\u5305\u7684\u89c6\u9891\u6559\u7a0b\u3002\u8fd9\u4e9b\u89c6\u9891\u901a\u5e38\u7531\u4e13\u5bb6\u8bb2\u89e3\uff0c\u5305\u542b\u8be6\u7ec6\u7684\u793a\u4f8b\u4ee3\u7801\u548c\u64cd\u4f5c\u6f14\u793a\uff0c\u5e2e\u52a9\u4f60\u5feb\u901f\u4e0a\u624bPython\u5305\u7684\u7528\u6cd5\u3002<\/p>\n<\/p>\n<p><h3>\u4e03\u3001\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>\u67e5\u770bPython\u5305\u7684\u7528\u6cd5\u53ef\u4ee5\u901a\u8fc7\u67e5\u9605\u5b98\u65b9\u6587\u6863\u3001\u4f7f\u7528\u5185\u7f6e\u5e2e\u52a9\u51fd\u6570\u3001\u53c2\u8003\u793a\u4f8b\u4ee3\u7801\u3001\u5728\u7ebf\u8bba\u575b\u548c\u793e\u533a\u3001\u4ee5\u53ca\u901a\u8fc7IDE\u548c\u7f16\u8f91\u5668\u6765\u5b9e\u73b0\u3002\u5b98\u65b9\u6587\u6863\u662f\u6700\u6743\u5a01\u548c\u5168\u9762\u7684\u8d44\u6e90\uff0c\u5185\u7f6e\u5e2e\u52a9\u51fd\u6570\u53ef\u4ee5\u5feb\u901f\u83b7\u53d6\u5305\u7684\u57fa\u672c\u4fe1\u606f\uff0c\u793a\u4f8b\u4ee3\u7801\u53ef\u4ee5\u5e2e\u52a9\u4f60\u5feb\u901f\u4e0a\u624b\uff0c\u5728\u7ebf\u8bba\u575b\u548c\u793e\u533a\u53ef\u4ee5\u63d0\u4f9b\u5176\u4ed6\u7528\u6237\u7684\u7ecf\u9a8c\u548c\u5efa\u8bae\uff0cIDE\u548c\u7f16\u8f91\u5668\u53ef\u4ee5\u63d0\u4f9b\u4fbf\u6377\u7684\u4ee3\u7801\u8865\u5168\u548c\u6587\u6863\u67e5\u770b\u529f\u80fd\u3002\u6b64\u5916\uff0c\u5728\u7ebf\u8bfe\u7a0b\u3001\u4e66\u7c4d\u548c\u89c6\u9891\u6559\u7a0b\u4e5f\u662f\u5b66\u4e60Python\u5305\u7684\u91cd\u8981\u8d44\u6e90\u3002\u901a\u8fc7\u7efc\u5408\u5229\u7528\u8fd9\u4e9b\u8d44\u6e90\uff0c\u4f60\u53ef\u4ee5\u7cfb\u7edf\u5730\u4e86\u89e3\u548c\u638c\u63e1Python\u5305\u7684\u7528\u6cd5\uff0c\u63d0\u9ad8\u7f16\u7a0b\u6548\u7387\u548c\u4ee3\u7801\u8d28\u91cf\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u67e5\u770bPython\u5305\u7684\u6587\u6863\u548c\u7528\u6cd5\uff1f<\/strong><br \/>\u8981\u67e5\u770bPython\u5305\u7684\u7528\u6cd5\uff0c\u6700\u6709\u6548\u7684\u65b9\u5f0f\u662f\u8bbf\u95ee\u5176\u5b98\u65b9\u6587\u6863\u3002\u901a\u5e38\uff0cPython\u5305\u5728\u5176GitHub\u9875\u9762\u6216\u5b98\u65b9\u7f51\u7ad9\u4e0a\u4f1a\u63d0\u4f9b\u8be6\u7ec6\u7684\u6587\u6863\uff0c\u5305\u542b\u5b89\u88c5\u8bf4\u660e\u3001\u7528\u6cd5\u793a\u4f8b\u548cAPI\u53c2\u8003\u3002\u6b64\u5916\uff0c\u4f7f\u7528Python\u7684\u5185\u7f6e\u51fd\u6570<code>help()<\/code>\u4e5f\u53ef\u4ee5\u67e5\u770b\u67d0\u4e2a\u5305\u6216\u6a21\u5757\u7684\u57fa\u672c\u7528\u6cd5\u3002<\/p>\n<p><strong>\u5728Python\u4e2d\u5982\u4f55\u83b7\u53d6\u5305\u7684\u7248\u672c\u4fe1\u606f\uff1f<\/strong><br \/>\u8981\u83b7\u53d6\u5df2\u5b89\u88c5Python\u5305\u7684\u7248\u672c\u4fe1\u606f\uff0c\u53ef\u4ee5\u4f7f\u7528<code>pip show &lt;package_name&gt;<\/code>\u547d\u4ee4\uff0c\u8fd9\u5c06\u663e\u793a\u8be5\u5305\u7684\u7248\u672c\u3001\u4f5c\u8005\u3001\u5b89\u88c5\u4f4d\u7f6e\u7b49\u4fe1\u606f\u3002\u6b64\u5916\uff0c\u8fd8\u53ef\u4ee5\u901a\u8fc7\u5728Python\u73af\u5883\u4e2d\u4f7f\u7528<code>import &lt;package_name&gt;; print(&lt;package_name&gt;.__version__)<\/code>\u6765\u67e5\u770b\u5305\u7684\u5177\u4f53\u7248\u672c\u3002<\/p>\n<p><strong>\u5982\u4f55\u67e5\u627ePython\u5305\u7684\u4f9d\u8d56\u5173\u7cfb\uff1f<\/strong><br \/>\u8981\u67e5\u627e\u4e00\u4e2aPython\u5305\u7684\u4f9d\u8d56\u5173\u7cfb\uff0c\u53ef\u4ee5\u4f7f\u7528<code>pip show &lt;package_name&gt;<\/code>\u547d\u4ee4\uff0c\u8fd9\u4f1a\u5217\u51fa\u8be5\u5305\u7684\u6240\u6709\u4f9d\u8d56\u5305\u3002\u6b64\u5916\uff0c\u5f88\u591a\u5305\u7684\u6587\u6863\u4e2d\u4e5f\u4f1a\u8be6\u7ec6\u5217\u51fa\u6240\u9700\u7684\u4f9d\u8d56\u5173\u7cfb\uff0c\u786e\u4fdd\u7528\u6237\u5728\u5b89\u88c5\u65f6\u4e0d\u4f1a\u9057\u6f0f\u3002\u540c\u65f6\uff0c\u4f7f\u7528<code>pipdeptree<\/code>\u5de5\u5177\u53ef\u4ee5\u76f4\u89c2\u5730\u67e5\u770b\u5305\u4e0e\u5176\u4f9d\u8d56\u4e4b\u95f4\u7684\u5173\u7cfb\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u67e5\u770bPython\u5305\u7684\u7528\u6cd5\u53ef\u4ee5\u901a\u8fc7\u67e5\u9605\u5b98\u65b9\u6587\u6863\u3001\u4f7f\u7528\u5185\u7f6e\u5e2e\u52a9\u51fd\u6570\u3001\u53c2\u8003\u793a\u4f8b\u4ee3\u7801\u3001\u5728\u7ebf\u8bba\u575b\u548c\u793e\u533a\u3001\u4ee5\u53ca\u901a\u8fc7IDE\u548c [&hellip;]","protected":false},"author":3,"featured_media":1164908,"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\/1164901"}],"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=1164901"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1164901\/revisions"}],"predecessor-version":[{"id":1164910,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1164901\/revisions\/1164910"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1164908"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1164901"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1164901"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1164901"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}