{"id":1168264,"date":"2025-01-15T15:55:50","date_gmt":"2025-01-15T07:55:50","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1168264.html"},"modified":"2025-01-15T15:55:52","modified_gmt":"2025-01-15T07:55:52","slug":"python-%e5%a6%82%e4%bd%95%e8%a1%a8%e7%a4%ba%e5%bc%80%e5%b9%b3%e6%96%b9","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1168264.html","title":{"rendered":"python \u5982\u4f55\u8868\u793a\u5f00\u5e73\u65b9"},"content":{"rendered":"

\"python<\/p>\n

\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u6765\u8868\u793a\u5f00\u5e73\u65b9\uff0c\u5305\u62ec\u4f7f\u7528\u5185\u7f6e\u7684\u6570\u5b66\u51fd\u6570\u3001\u8fd0\u7b97\u7b26\u4ee5\u53ca\u7b2c\u4e09\u65b9\u5e93\u3002\u6700\u5e38\u7528\u7684\u65b9\u5f0f\u5305\u62ec\u4f7f\u7528<\/strong><\/code>\u8fd0\u7b97\u7b26\u3001math.sqrt()<\/code>\u51fd\u6570\u3001\u4ee5\u53canumpy.sqrt()<\/code>\u51fd\u6570\u3002\u4e0b\u9762\u8be6\u7ec6\u63cf\u8ff0\u5176\u4e2d\u4e00\u79cd\u65b9\u5f0f\u2014\u2014math.sqrt()<\/code>\u51fd\u6570\uff1a<\/p>\n<\/p>\n

\u4f7f\u7528math.sqrt()<\/code>\u51fd\u6570\uff1a\u8fd9\u662fPython\u6807\u51c6\u5e93\u4e2d\u7684\u4e00\u4e2a\u51fd\u6570\uff0c\u4e13\u95e8\u7528\u4e8e\u8ba1\u7b97\u5e73\u65b9\u6839\u3002\u9996\u5148\u9700\u8981\u5bfc\u5165math<\/code>\u6a21\u5757\uff0c\u7136\u540e\u4f7f\u7528math.sqrt()<\/code>\u51fd\u6570\u4f20\u5165\u9700\u8981\u5f00\u5e73\u65b9\u7684\u6570\u503c\u5373\u53ef\u3002\u8fd9\u4e2a\u65b9\u6cd5\u7b80\u5355\u4e14\u6613\u4e8e\u7406\u89e3\uff0c\u9002\u5408\u5927\u591a\u6570\u60c5\u51b5\u4e0b\u7684\u5e73\u65b9\u6839\u8ba1\u7b97\u3002<\/p>\n<\/p>\n

import math<\/p>\n
number = 16<\/p>\n
sqrt_value = math.sqrt(number)<\/p>\n
print("The square root of", number, "is", sqrt_value)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u63a2\u8ba8Python\u4e2d\u8868\u793a\u5f00\u5e73\u65b9\u7684\u591a\u79cd\u65b9\u6cd5\uff0c\u5305\u62ec\u5176\u4f7f\u7528\u573a\u666f\u548c\u5177\u4f53\u5b9e\u73b0\u65b9\u5f0f\u3002<\/p>\n<\/p>\n
\u4e00\u3001\u4f7f\u7528 <\/code> \u8fd0\u7b97\u7b26<\/strong><\/h2>\n
Python\u63d0\u4f9b\u4e86\u5e42\u8fd0\u7b97\u7b26 <strong><\/code>\uff0c\u53ef\u4ee5\u7528\u4e8e\u8ba1\u7b97\u4e00\u4e2a\u6570\u7684\u4efb\u610f\u5e42\uff0c\u5305\u62ec\u5e73\u65b9\u6839\u3002\u5e73\u65b9\u6839\u662f\u4e00\u4e2a\u6570\u76841\/2\u6b21\u5e42\uff0c\u56e0\u6b64\u53ef\u4ee5\u4f7f\u7528 <\/strong> 0.5<\/code> \u6765\u8868\u793a\u5f00\u5e73\u65b9\u3002<\/p>\n<\/p>\n
number = 25<\/p>\n
sqrt_value = number  0.5<\/p>\n
print("The square root of", number, "is", sqrt_value)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4f7f\u7528\u573a\u666f<\/h2>\n<\/p>\n
\u8fd9\u79cd\u65b9\u6cd5\u975e\u5e38\u76f4\u89c2\uff0c\u9002\u7528\u4e8e\u7b80\u5355\u7684\u6570\u5b66\u8ba1\u7b97\uff0c\u5c24\u5176\u662f\u5728\u4e0d\u60f3\u5f15\u5165\u989d\u5916\u5e93\u7684\u60c5\u51b5\u4e0b\u3002\u7531\u4e8e\u5b83\u662fPython\u7684\u5185\u7f6e\u8fd0\u7b97\u7b26\uff0c\u6027\u80fd\u4e5f\u8f83\u597d\u3002<\/p>\n<\/p>\n
\u4ee3\u7801\u793a\u4f8b<\/h2>\n<\/p>\n
numbers = [4, 9, 16, 25, 36]<\/p>\n
sqrt_values = [number  0.5 for number in numbers]<\/p>\n
print("Square roots:", sqrt_values)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528 math.sqrt()<\/code> \u51fd\u6570<\/strong><\/h2>\n
math.sqrt()<\/code> \u662fPython\u6807\u51c6\u5e93\u4e2d\u7684\u4e00\u4e2a\u51fd\u6570\uff0c\u4e13\u95e8\u7528\u4e8e\u8ba1\u7b97\u5e73\u65b9\u6839\u3002\u9700\u8981\u5148\u5bfc\u5165 math<\/code> \u6a21\u5757\uff0c\u7136\u540e\u8c03\u7528 math.sqrt()<\/code> \u51fd\u6570\u3002<\/p>\n<\/p>\n
import math<\/p>\n
number = 49<\/p>\n
sqrt_value = math.sqrt(number)<\/p>\n
print("The square root of", number, "is", sqrt_value)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4f7f\u7528\u573a\u666f<\/h2>\n<\/p>\n
\u8fd9\u4e2a\u65b9\u6cd5\u9002\u7528\u4e8e\u9700\u8981\u8fdb\u884c\u8f83\u591a\u6570\u5b66\u8fd0\u7b97\u7684\u573a\u666f\uff0c\u56e0\u4e3a math<\/code> \u6a21\u5757\u63d0\u4f9b\u4e86\u5f88\u591a\u5176\u4ed6\u6709\u7528\u7684\u6570\u5b66\u51fd\u6570\u3002\u4f7f\u7528 math.sqrt()<\/code> \u53ef\u4ee5\u63d0\u9ad8\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\u548c\u7ef4\u62a4\u6027\u3002<\/p>\n<\/p>\n
\u4ee3\u7801\u793a\u4f8b<\/h2>\n<\/p>\n
import math<\/p>\n
numbers = [4, 9, 16, 25, 36]<\/p>\n
sqrt_values = [math.sqrt(number) for number in numbers]<\/p>\n
print("Square roots:", sqrt_values)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528 numpy.sqrt()<\/code> \u51fd\u6570<\/strong><\/h2>\n
numpy<\/code> \u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u79d1\u5b66\u8ba1\u7b97\u5e93\uff0cnumpy.sqrt()<\/code> \u51fd\u6570\u53ef\u4ee5\u9ad8\u6548\u5730\u8ba1\u7b97\u6570\u7ec4\u4e2d\u6bcf\u4e2a\u5143\u7d20\u7684\u5e73\u65b9\u6839\u3002\u8fd9\u79cd\u65b9\u6cd5\u7279\u522b\u9002\u7528\u4e8e\u9700\u8981\u5904\u7406\u5927\u91cf\u6570\u636e\u7684\u573a\u666f\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
numbers = np.array([1, 4, 9, 16, 25])<\/p>\n
sqrt_values = np.sqrt(numbers)<\/p>\n
print("Square roots:", sqrt_values)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4f7f\u7528\u573a\u666f<\/h2>\n<\/p>\n
numpy<\/code> \u7279\u522b\u9002\u7528\u4e8e\u5927\u89c4\u6a21\u6570\u7ec4\u548c\u77e9\u9635\u8fd0\u7b97\uff0c\u56e0\u6b64\u5728\u6570\u636e\u79d1\u5b66\u548c\u673a\u5668\u5b66\u4e60<\/a>\u9886\u57df\u88ab\u5e7f\u6cdb\u4f7f\u7528\u3002\u5982\u679c\u4f60\u6b63\u5728\u5904\u7406\u5927\u91cf\u6570\u636e\uff0cnumpy<\/code> \u662f\u4e00\u4e2a\u975e\u5e38\u597d\u7684\u9009\u62e9\u3002<\/p>\n<\/p>\n
\u4ee3\u7801\u793a\u4f8b<\/h2>\n<\/p>\n
import numpy as np<\/p>\n
numbers = np.array([1, 4, 9, 16, 25, 36, 49, 64, 81, 100])<\/p>\n
sqrt_values = np.sqrt(numbers)<\/p>\n
print("Square roots:", sqrt_values)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u4f7f\u7528 sympy<\/code> \u5e93<\/strong><\/h2>\n
sympy<\/code> \u662f\u4e00\u4e2a\u7528\u4e8e\u7b26\u53f7\u8ba1\u7b97\u7684Python\u5e93\uff0c\u63d0\u4f9b\u4e86 sympy.sqrt()<\/code> \u51fd\u6570\uff0c\u53ef\u4ee5\u7528\u4e8e\u7b26\u53f7\u548c\u6570\u503c\u7684\u5e73\u65b9\u6839\u8ba1\u7b97\u3002<\/p>\n<\/p>\n
import sympy<\/p>\n
number = sympy.Symbol('x')<\/p>\n
sqrt_value = sympy.sqrt(number)<\/p>\n
print("The symbolic square root of", number, "is", sqrt_value)<\/p>\n
For numerical computation<\/strong><\/h2>\n
numerical_sqrt = sympy.sqrt(49)<\/p>\n
print("The numerical square root of 49 is", numerical_sqrt)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4f7f\u7528\u573a\u666f<\/h2>\n<\/p>\n
sympy<\/code> \u9002\u7528\u4e8e\u9700\u8981\u7b26\u53f7\u8ba1\u7b97\u7684\u573a\u666f\uff0c\u6bd4\u5982\u6570\u5b66\u65b9\u7a0b\u6c42\u89e3\u3001\u79ef\u5206\u3001\u5fae\u5206\u7b49\u3002\u5b83\u5728\u9700\u8981\u9ad8\u7cbe\u5ea6\u6216\u7b26\u53f7\u8868\u8fbe\u7684\u60c5\u51b5\u4e0b\u975e\u5e38\u6709\u7528\u3002<\/p>\n<\/p>\n
\u4ee3\u7801\u793a\u4f8b<\/h2>\n<\/p>\n
import sympy<\/p>\n
Symbolic computation<\/strong><\/h2>\n
x = sympy.Symbol('x')<\/p>\n
sqrt_expr = sympy.sqrt(x2 + 1)<\/p>\n
print("Symbolic expression:", sqrt_expr)<\/p>\n
Numerical computation<\/strong><\/h2>\n
numerical_sqrt = sqrt_expr.evalf(subs={x: 3})<\/p>\n
print("Numerical result for x=3:", numerical_sqrt)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u4f7f\u7528\u81ea\u5b9a\u4e49\u51fd\u6570<\/strong><\/h2>\n
\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u53ef\u80fd\u9700\u8981\u5b9a\u4e49\u81ea\u5df1\u7684\u5e73\u65b9\u6839\u51fd\u6570\uff0c\u6bd4\u5982\u5728\u4e0d\u5141\u8bb8\u4f7f\u7528\u5916\u90e8\u5e93\u7684\u73af\u5883\u4e0b\u3002\u53ef\u4ee5\u4f7f\u7528\u725b\u987f\u8fed\u4ee3\u6cd5\u7b49\u7b97\u6cd5\u6765\u5b9e\u73b0\u5e73\u65b9\u6839\u8ba1\u7b97\u3002<\/p>\n<\/p>\n
def custom_sqrt(n, tolerance=1e-10):<\/p>\n
    x = n<\/p>\n
    while True:<\/p>\n
        root = 0.5 * (x + (n \/ x))<\/p>\n
        if abs(root - x) < tolerance:<\/p>\n
            return root<\/p>\n
        x = root<\/p>\n
number = 64<\/p>\n
sqrt_value = custom_sqrt(number)<\/p>\n
print("The square root of", number, "is", sqrt_value)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4f7f\u7528\u573a\u666f<\/h2>\n<\/p>\n
\u81ea\u5b9a\u4e49\u51fd\u6570\u9002\u7528\u4e8e\u7279\u5b9a\u9700\u6c42\u6216\u8005\u53d7\u9650\u73af\u5883\uff0c\u6bd4\u5982\u5d4c\u5165\u5f0f\u7cfb\u7edf\u3001\u5b66\u4e60\u7b97\u6cd5\u5b9e\u73b0\u7b49\u3002\u867d\u7136\u8fd9\u79cd\u65b9\u6cd5\u5b9e\u73b0\u8d77\u6765\u7a0d\u5fae\u590d\u6742\u4e00\u4e9b\uff0c\u4f46\u53ef\u4ee5\u66f4\u597d\u5730\u7406\u89e3\u7b97\u6cd5\u7684\u5185\u90e8\u5de5\u4f5c\u539f\u7406\u3002<\/p>\n<\/p>\n
\u4ee3\u7801\u793a\u4f8b<\/h2>\n<\/p>\n
def custom_sqrt(n, tolerance=1e-10):<\/p>\n
    x = n<\/p>\n
    while True:<\/p>\n
        root = 0.5 * (x + (n \/ x))<\/p>\n
        if abs(root - x) < tolerance:<\/p>\n
            return root<\/p>\n
        x = root<\/p>\n
numbers = [4, 9, 16, 25, 36]<\/p>\n
sqrt_values = [custom_sqrt(number) for number in numbers]<\/p>\n
print("Square roots:", sqrt_values)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u4f7f\u7528 cmath<\/code> \u6a21\u5757\uff08\u5904\u7406\u590d\u6570\uff09<\/strong><\/h2>\n
Python\u7684 cmath<\/code> \u6a21\u5757\u63d0\u4f9b\u4e86\u5904\u7406\u590d\u6570\u7684\u6570\u5b66\u51fd\u6570\uff0c\u5176\u4e2d\u5305\u62ec cmath.sqrt()<\/code> \u51fd\u6570\u3002\u8fd9\u5728\u9700\u8981\u5904\u7406\u590d\u6570\u7684\u5e73\u65b9\u6839\u65f6\u975e\u5e38\u6709\u7528\u3002<\/p>\n<\/p>\n
import cmath<\/p>\n
number = -16<\/p>\n
sqrt_value = cmath.sqrt(number)<\/p>\n
print("The square root of", number, "is", sqrt_value)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4f7f\u7528\u573a\u666f<\/h2>\n<\/p>\n
cmath<\/code> \u6a21\u5757\u9002\u7528\u4e8e\u9700\u8981\u5904\u7406\u590d\u6570\u7684\u573a\u666f\uff0c\u6bd4\u5982\u7535\u8def\u5206\u6790\u3001\u4fe1\u53f7\u5904\u7406\u7b49\u3002\u5728\u8fd9\u4e9b\u9886\u57df\uff0c\u590d\u6570\u7684\u5e73\u65b9\u6839\u8ba1\u7b97\u662f\u4e00\u4e2a\u5e38\u89c1\u9700\u6c42\u3002<\/p>\n<\/p>\n
\u4ee3\u7801\u793a\u4f8b<\/h2>\n<\/p>\n
import cmath<\/p>\n
numbers = [1, -1, -16, -25]<\/p>\n
sqrt_values = [cmath.sqrt(number) for number in numbers]<\/p>\n
print("Square roots:", sqrt_values)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e03\u3001\u603b\u7ed3<\/strong><\/h2>\n
\u5728Python\u4e2d\u8868\u793a\u5f00\u5e73\u65b9\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u9002\u7528\u7684\u573a\u666f\u548c\u4f18\u7f3a\u70b9\u3002\u4f7f\u7528 <\/strong><\/code> \u8fd0\u7b97\u7b26\u3001math.sqrt()<\/code> \u51fd\u6570\u3001numpy.sqrt()<\/code> \u51fd\u6570\u3001sympy<\/code> \u5e93\u3001custom_sqrt()<\/code> \u81ea\u5b9a\u4e49\u51fd\u6570\u3001\u4ee5\u53ca cmath<\/code> \u6a21\u5757\uff0c\u8fd9\u4e9b\u65b9\u6cd5\u53ef\u4ee5\u8986\u76d6\u4ece\u7b80\u5355\u7684\u6570\u5b66\u8ba1\u7b97\u5230\u590d\u6742\u7684\u7b26\u53f7\u8ba1\u7b97\u548c\u590d\u6570\u5904\u7406\u7684\u5404\u79cd\u9700\u6c42\u3002<\/p>\n<\/p>\n
\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53d6\u51b3\u4e8e\u5177\u4f53\u7684\u5e94\u7528\u573a\u666f\u548c\u9700\u6c42\u3002\u5982\u679c\u53ea\u662f\u7b80\u5355\u7684\u6570\u503c\u8ba1\u7b97\uff0c<\/code> \u8fd0\u7b97\u7b26\u548c math.sqrt()<\/code> \u662f\u975e\u5e38\u597d\u7684\u9009\u62e9\uff1b\u5982\u679c\u5904\u7406\u5927\u91cf\u6570\u636e\uff0cnumpy.sqrt()<\/code> \u662f\u66f4\u9ad8\u6548\u7684\u9009\u62e9\uff1b\u5982\u679c\u9700\u8981\u7b26\u53f7\u8ba1\u7b97\uff0csympy<\/code> \u662f\u7406\u60f3\u7684\u5de5\u5177\uff1b\u800c\u5bf9\u4e8e\u590d\u6570\u8ba1\u7b97\uff0ccmath<\/code> \u6a21\u5757\u5219\u662f\u5fc5\u4e0d\u53ef\u5c11\u7684\u3002<\/p>\n<\/p>\n
\u4e86\u89e3\u548c\u638c\u63e1\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5927\u5927\u63d0\u9ad8\u5728Python\u4e2d\u8fdb\u884c\u6570\u5b66\u8ba1\u7b97\u7684\u6548\u7387\u548c\u7075\u6d3b\u6027\u3002\u5e0c\u671b\u8fd9\u7bc7\u6587\u7ae0\u80fd\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u7406\u89e3\u548c\u5e94\u7528Python\u4e2d\u7684\u5e73\u65b9\u6839\u8ba1\u7b97\u65b9\u6cd5\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5f00\u5e73\u65b9\u5728Python\u4e2d\u5982\u4f55\u5b9e\u73b0\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684\u6570\u5b66\u5e93math<\/code>\u6765\u8fdb\u884c\u5f00\u5e73\u65b9\u8fd0\u7b97\u3002\u901a\u8fc7\u8c03\u7528math.sqrt()<\/code>\u51fd\u6570\uff0c\u53ef\u4ee5\u8f7b\u677e\u83b7\u53d6\u4e00\u4e2a\u6570\u7684\u5e73\u65b9\u6839\u3002\u4f8b\u5982\uff0cimport math<\/code>\u540e\uff0c\u4f7f\u7528math.sqrt(16)<\/code>\u5c06\u8fd4\u56de4.0\u3002\u6b64\u5916\uff0cPython\u7684\u5e42\u8fd0\u7b97\u7b26<strong><\/code>\u4e5f\u53ef\u4ee5\u7528\u4e8e\u5f00\u5e73\u65b9\uff0c\u5199\u4f5cnumber <\/strong> 0.5<\/code>\uff0c\u8fd9\u5c06\u8fd4\u56de\u76f8\u540c\u7684\u7ed3\u679c\u3002<\/p>\n
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u54ea\u4e9b\u65b9\u6cd5\u6765\u8ba1\u7b97\u5e73\u65b9\u6839\uff1f<\/strong>
\u9664\u4e86math.sqrt()<\/code>\u548c\u5e42\u8fd0\u7b97\u7b26<strong><\/code>\u5916\uff0cPython\u8fd8\u53ef\u4ee5\u5229\u7528NumPy\u5e93\u8fdb\u884c\u5f00\u5e73\u65b9\u3002\u4f7f\u7528numpy.sqrt()<\/code>\u51fd\u6570\u53ef\u4ee5\u5904\u7406\u6570\u7ec4\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\uff0c\u9002\u5408\u8fdb\u884c\u79d1\u5b66\u8ba1\u7b97\u3002\u6b64\u5916\uff0c\u4f7f\u7528<\/strong><\/code>\u8fd0\u7b97\u7b26\u548c\u5176\u4ed6\u6570\u5b66\u51fd\u6570\u7ed3\u5408\u4e5f\u80fd\u5b9e\u73b0\u5f00\u5e73\u65b9\uff0c\u4f8b\u5982pow(number, 0.5)<\/code>\u3002<\/p>\n
\u5f00\u5e73\u65b9\u8fd0\u7b97\u7ed3\u679c\u7684\u7c7b\u578b\u662f\u4ec0\u4e48\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u4f7f\u7528math.sqrt()<\/code>\u51fd\u6570\u5f97\u5230\u7684\u7ed3\u679c\u662f\u6d6e\u70b9\u6570\u7c7b\u578b\uff0c\u5373\u4f7f\u8f93\u5165\u7684\u662f\u4e00\u4e2a\u6574\u6570\u3002\u901a\u8fc7\u5e42\u8fd0\u7b97\u7b26**<\/code>\u8fdb\u884c\u5f00\u5e73\u65b9\u65f6\uff0c\u7ed3\u679c\u540c\u6837\u4e3a\u6d6e\u70b9\u6570\u3002\u8fd9\u4e00\u70b9\u5728\u9700\u8981\u8fdb\u884c\u66f4\u9ad8\u7cbe\u5ea6\u8fd0\u7b97\u65f6\u5c24\u4e3a\u91cd\u8981\uff0c\u56e0\u6b64\u5728\u7f16\u5199\u4ee3\u7801\u65f6\u8981\u6ce8\u610f\u7ed3\u679c\u7c7b\u578b\u7684\u5904\u7406\uff0c\u786e\u4fdd\u540e\u7eed\u8fd0\u7b97\u4e0d\u4f1a\u51fa\u73b0\u9519\u8bef\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u6765\u8868\u793a\u5f00\u5e73\u65b9\uff0c\u5305\u62ec\u4f7f\u7528\u5185\u7f6e\u7684\u6570\u5b66\u51fd\u6570\u3001\u8fd0\u7b97\u7b26\u4ee5\u53ca\u7b2c\u4e09\u65b9\u5e93\u3002\u6700\u5e38\u7528\u7684\u65b9\u5f0f\u5305\u62ec\u4f7f […]","protected":false},"author":3,"featured_media":1168267,"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\/1168264"}],"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=1168264"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1168264\/revisions"}],"predecessor-version":[{"id":1168268,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1168264\/revisions\/1168268"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1168267"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1168264"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1168264"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1168264"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}