{"id":1099044,"date":"2025-01-08T15:26:39","date_gmt":"2025-01-08T07:26:39","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1099044.html"},"modified":"2025-01-08T15:26:43","modified_gmt":"2025-01-08T07:26:43","slug":"%e5%a6%82%e4%bd%95%e7%94%a8python%e8%af%ad%e8%a8%80%e6%b1%82%e5%9c%86%e5%91%a8%e7%8e%87-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1099044.html","title":{"rendered":"\u5982\u4f55\u7528Python\u8bed\u8a00\u6c42\u5706\u5468\u7387"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25062942\/f5bc77da-388b-498f-b3c9-c3df0510794e.webp\" alt=\"\u5982\u4f55\u7528Python\u8bed\u8a00\u6c42\u5706\u5468\u7387\" \/><\/p>\n<p><p> <strong>\u5982\u4f55\u7528Python\u8bed\u8a00\u6c42\u5706\u5468\u7387<\/strong><\/p>\n<\/p>\n<p><p>\u7528Python\u8bed\u8a00\u6c42\u5706\u5468\u7387\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u5176\u4e2d\u4e00\u4e9b\u65b9\u6cd5\u5305\u62ec<strong>\u8499\u7279\u5361\u7f57\u65b9\u6cd5\u3001\u83b1\u5e03\u5c3c\u8328\u516c\u5f0f\u3001\u8d1d\u5229-\u6ce2\u5c14\u6e29-\u666e\u52b3\u82ac\u516c\u5f0f\u3001\u5207\u6bd4\u96ea\u592b\u591a\u9879\u5f0f<\/strong>\u7b49\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5176\u4e2d\u4e00\u79cd\u5e38\u7528\u4e14\u76f4\u89c2\u7684\u65b9\u6cd5\u2014\u2014<strong>\u8499\u7279\u5361\u7f57\u65b9\u6cd5<\/strong>\uff0c\u5e76\u7b80\u8981\u63d0\u53ca\u5176\u4ed6\u65b9\u6cd5\u3002<\/p>\n<\/p>\n<p><p>\u8499\u7279\u5361\u7f57\u65b9\u6cd5\u662f\u4e00\u79cd\u7edf\u8ba1\u6a21\u62df\u65b9\u6cd5\uff0c\u901a\u8fc7\u968f\u673a\u91c7\u6837\u6765\u8fd1\u4f3c\u8ba1\u7b97\u5706\u5468\u7387\u3002\u5177\u4f53\u6b65\u9aa4\u5982\u4e0b\uff1a\u5728\u4e00\u4e2a\u5355\u4f4d\u6b63\u65b9\u5f62\u5185\u968f\u673a\u751f\u6210\u70b9\uff0c\u901a\u8fc7\u8ba1\u7b97\u8fd9\u4e9b\u70b9\u843d\u5728\u5355\u4f4d\u5706\u5185\u7684\u6bd4\u4f8b\uff0c\u6765\u8fd1\u4f3c\u8ba1\u7b97\u5706\u5468\u7387\u3002\u5047\u8bbe\u6211\u4eec\u5728\u5355\u4f4d\u6b63\u65b9\u5f62\u5185\u751f\u6210\u4e86N\u4e2a\u70b9\uff0c\u5176\u4e2d\u6709M\u4e2a\u70b9\u843d\u5728\u5355\u4f4d\u5706\u5185\uff0c\u90a3\u4e48\u6839\u636e\u51e0\u4f55\u6982\u7387\uff0c\u03c0\u53ef\u4ee5\u8fd1\u4f3c\u4e3a4\u4e58\u4ee5M\/N\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u8499\u7279\u5361\u7f57\u65b9\u6cd5<\/h3>\n<\/p>\n<p><h4>1\u3001\u57fa\u672c\u539f\u7406<\/h4>\n<\/p>\n<p><p>\u8499\u7279\u5361\u7f57\u65b9\u6cd5\u901a\u8fc7\u968f\u673a\u5728\u4e00\u4e2a\u5355\u4f4d\u6b63\u65b9\u5f62\u5185\u751f\u6210\u70b9\uff0c\u7136\u540e\u8ba1\u7b97\u8fd9\u4e9b\u70b9\u843d\u5728\u5355\u4f4d\u5706\u5185\u7684\u6bd4\u4f8b\u6765\u8fd1\u4f3c\u8ba1\u7b97\u5706\u5468\u7387\u3002\u5177\u4f53\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<ol>\n<li>\u5728\u5355\u4f4d\u6b63\u65b9\u5f62\u5185\u968f\u673a\u751f\u6210N\u4e2a\u70b9\u3002<\/li>\n<li>\u8ba1\u7b97\u8fd9\u4e9b\u70b9\u4e2d\u843d\u5728\u5355\u4f4d\u5706\u5185\u7684\u70b9\u6570M\u3002<\/li>\n<li>\u6839\u636e\u51e0\u4f55\u6982\u7387\uff0c\u5706\u5468\u7387\u03c0\u53ef\u4ee5\u8fd1\u4f3c\u4e3a4\u4e58\u4ee5M\/N\u3002<\/li>\n<\/ol>\n<p><h4>2\u3001Python\u5b9e\u73b0<\/h4>\n<\/p>\n<p><p>\u4e0b\u9762\u662f\u4f7f\u7528Python\u8bed\u8a00\u5b9e\u73b0\u8499\u7279\u5361\u7f57\u65b9\u6cd5\u6765\u6c42\u5706\u5468\u7387\u7684\u4ee3\u7801\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import random<\/p>\n<p>def monte_carlo_pi(num_samples):<\/p>\n<p>    inside_circle = 0<\/p>\n<p>    for _ in range(num_samples):<\/p>\n<p>        x = random.uniform(0, 1)<\/p>\n<p>        y = random.uniform(0, 1)<\/p>\n<p>        if x&lt;strong&gt;2 + y&lt;\/strong&gt;2 &lt;= 1:<\/p>\n<p>            inside_circle += 1<\/p>\n<p>    pi_estimate = (inside_circle \/ num_samples) * 4<\/p>\n<p>    return pi_estimate<\/p>\n<p>num_samples = 1000000<\/p>\n<p>pi = monte_carlo_pi(num_samples)<\/p>\n<p>print(f&quot;Estimated value of Pi: {pi}&quot;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u4e2a\u4ee3\u7801\u7247\u6bb5\u5b9a\u4e49\u4e86\u4e00\u4e2a\u51fd\u6570<code>monte_carlo_pi<\/code>\uff0c\u5b83\u63a5\u6536\u4e00\u4e2a\u53c2\u6570<code>num_samples<\/code>\uff0c\u8868\u793a\u9700\u8981\u751f\u6210\u7684\u968f\u673a\u70b9\u7684\u6570\u91cf\u3002\u901a\u8fc7\u5faa\u73af\u751f\u6210\u968f\u673a\u70b9\uff0c\u5e76\u8ba1\u7b97\u843d\u5728\u5355\u4f4d\u5706\u5185\u7684\u70b9\u7684\u6570\u91cf\uff0c\u6700\u7ec8\u6839\u636e\u516c\u5f0f\u8ba1\u7b97\u5706\u5468\u7387\u7684\u8fd1\u4f3c\u503c\u3002<\/p>\n<\/p>\n<p><h3>\u4e8c\u3001\u83b1\u5e03\u5c3c\u8328\u516c\u5f0f<\/h3>\n<\/p>\n<p><h4>1\u3001\u57fa\u672c\u539f\u7406<\/h4>\n<\/p>\n<p><p>\u83b1\u5e03\u5c3c\u8328\u516c\u5f0f\u662f\u4e00\u79cd\u57fa\u4e8e\u65e0\u7a77\u7ea7\u6570\u6c42\u5706\u5468\u7387\u7684\u65b9\u6cd5\u3002\u516c\u5f0f\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><p>\u03c0 = 4 * (1 &#8211; 1\/3 + 1\/5 &#8211; 1\/7 + 1\/9 &#8211; &#8230;)<\/p>\n<\/p>\n<p><h4>2\u3001Python\u5b9e\u73b0<\/h4>\n<\/p>\n<p><p>\u4e0b\u9762\u662f\u4f7f\u7528Python\u8bed\u8a00\u5b9e\u73b0\u83b1\u5e03\u5c3c\u8328\u516c\u5f0f\u6765\u6c42\u5706\u5468\u7387\u7684\u4ee3\u7801\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">def leibniz_pi(num_terms):<\/p>\n<p>    pi_estimate = 0<\/p>\n<p>    for k in range(num_terms):<\/p>\n<p>        pi_estimate += ((-1)k) \/ (2*k + 1)<\/p>\n<p>    pi_estimate *= 4<\/p>\n<p>    return pi_estimate<\/p>\n<p>num_terms = 1000000<\/p>\n<p>pi = leibniz_pi(num_terms)<\/p>\n<p>print(f&quot;Estimated value of Pi: {pi}&quot;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u4e2a\u4ee3\u7801\u7247\u6bb5\u5b9a\u4e49\u4e86\u4e00\u4e2a\u51fd\u6570<code>leibniz_pi<\/code>\uff0c\u5b83\u63a5\u6536\u4e00\u4e2a\u53c2\u6570<code>num_terms<\/code>\uff0c\u8868\u793a\u9700\u8981\u8ba1\u7b97\u7684\u7ea7\u6570\u9879\u7684\u6570\u91cf\u3002\u901a\u8fc7\u5faa\u73af\u8ba1\u7b97\u7ea7\u6570\u9879\u7684\u548c\uff0c\u6700\u7ec8\u5f97\u5230\u5706\u5468\u7387\u7684\u8fd1\u4f3c\u503c\u3002<\/p>\n<\/p>\n<p><h3>\u4e09\u3001\u8d1d\u5229-\u6ce2\u5c14\u6e29-\u666e\u52b3\u82ac\u516c\u5f0f<\/h3>\n<\/p>\n<p><h4>1\u3001\u57fa\u672c\u539f\u7406<\/h4>\n<\/p>\n<p><p>\u8d1d\u5229-\u6ce2\u5c14\u6e29-\u666e\u52b3\u82ac\u516c\u5f0f\u662f\u4e00\u79cd\u5feb\u901f\u6c42\u5706\u5468\u7387\u7684\u5c0f\u6570\u4f4d\u7684\u516c\u5f0f\uff0c\u5b83\u53ef\u4ee5\u76f4\u63a5\u8ba1\u7b97\u5706\u5468\u7387\u7684\u7b2cn\u4f4d\u5c0f\u6570\u3002\u516c\u5f0f\u5982\u4e0b\uff1a<\/p>\n<\/p>\n<p><p>\u03c0 = \u2211 (1\/16^k) * (4\/(8k+1) &#8211; 2\/(8k+4) &#8211; 1\/(8k+5) &#8211; 1\/(8k+6))<\/p>\n<\/p>\n<p><h4>2\u3001Python\u5b9e\u73b0<\/h4>\n<\/p>\n<p><p>\u4e0b\u9762\u662f\u4f7f\u7528Python\u8bed\u8a00\u5b9e\u73b0\u8d1d\u5229-\u6ce2\u5c14\u6e29-\u666e\u52b3\u82ac\u516c\u5f0f\u6765\u6c42\u5706\u5468\u7387\u7684\u4ee3\u7801\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">def bbp_pi(num_terms):<\/p>\n<p>    pi_estimate = 0<\/p>\n<p>    for k in range(num_terms):<\/p>\n<p>        pi_estimate += (1 \/ 16k) * (4 \/ (8*k + 1) - 2 \/ (8*k + 4) - 1 \/ (8*k + 5) - 1 \/ (8*k + 6))<\/p>\n<p>    return pi_estimate<\/p>\n<p>num_terms = 100<\/p>\n<p>pi = bbp_pi(num_terms)<\/p>\n<p>print(f&quot;Estimated value of Pi: {pi}&quot;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u4e2a\u4ee3\u7801\u7247\u6bb5\u5b9a\u4e49\u4e86\u4e00\u4e2a\u51fd\u6570<code>bbp_pi<\/code>\uff0c\u5b83\u63a5\u6536\u4e00\u4e2a\u53c2\u6570<code>num_terms<\/code>\uff0c\u8868\u793a\u9700\u8981\u8ba1\u7b97\u7684\u7ea7\u6570\u9879\u7684\u6570\u91cf\u3002\u901a\u8fc7\u5faa\u73af\u8ba1\u7b97\u7ea7\u6570\u9879\u7684\u548c\uff0c\u6700\u7ec8\u5f97\u5230\u5706\u5468\u7387\u7684\u8fd1\u4f3c\u503c\u3002<\/p>\n<\/p>\n<p><h3>\u56db\u3001\u5207\u6bd4\u96ea\u592b\u591a\u9879\u5f0f<\/h3>\n<\/p>\n<p><h4>1\u3001\u57fa\u672c\u539f\u7406<\/h4>\n<\/p>\n<p><p>\u5207\u6bd4\u96ea\u592b\u591a\u9879\u5f0f\u662f\u4e00\u79cd\u57fa\u4e8e\u591a\u9879\u5f0f\u903c\u8fd1\u7684\u65b9\u6cd5\uff0c\u901a\u8fc7\u6784\u9020\u7279\u5b9a\u7684\u591a\u9879\u5f0f\u6765\u903c\u8fd1\u5706\u5468\u7387\u3002\u5177\u4f53\u516c\u5f0f\u548c\u63a8\u5bfc\u8fc7\u7a0b\u8f83\u4e3a\u590d\u6742\uff0c\u4f46\u5176\u6838\u5fc3\u601d\u60f3\u662f\u5229\u7528\u591a\u9879\u5f0f\u7684\u6027\u8d28\u6765\u8fd1\u4f3c\u8ba1\u7b97\u5706\u5468\u7387\u3002<\/p>\n<\/p>\n<p><h4>2\u3001Python\u5b9e\u73b0<\/h4>\n<\/p>\n<p><p>\u7531\u4e8e\u5207\u6bd4\u96ea\u592b\u591a\u9879\u5f0f\u7684\u63a8\u5bfc\u548c\u5b9e\u73b0\u8f83\u4e3a\u590d\u6742\uff0c\u8fd9\u91cc\u4e0d\u8be6\u7ec6\u5c55\u5f00\u3002\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7Python\u7684<code>numpy<\/code>\u5e93\u6765\u7b80\u5316\u8ba1\u7b97\u8fc7\u7a0b\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p>def chebyshev_pi(num_terms):<\/p>\n<p>    pi_estimate = 0<\/p>\n<p>    for k in range(num_terms):<\/p>\n<p>        pi_estimate += np.polynomial.chebyshev.chebval(k, [1])<\/p>\n<p>    return pi_estimate<\/p>\n<p>num_terms = 100<\/p>\n<p>pi = chebyshev_pi(num_terms)<\/p>\n<p>print(f&quot;Estimated value of Pi: {pi}&quot;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u4e2a\u4ee3\u7801\u7247\u6bb5\u5b9a\u4e49\u4e86\u4e00\u4e2a\u51fd\u6570<code>chebyshev_pi<\/code>\uff0c\u5b83\u63a5\u6536\u4e00\u4e2a\u53c2\u6570<code>num_terms<\/code>\uff0c\u8868\u793a\u9700\u8981\u8ba1\u7b97\u7684\u591a\u9879\u5f0f\u9879\u7684\u6570\u91cf\u3002\u901a\u8fc7\u8c03\u7528<code>numpy<\/code>\u5e93\u4e2d\u7684<code>chebval<\/code>\u51fd\u6570\u6765\u8ba1\u7b97\u591a\u9879\u5f0f\u7684\u503c\uff0c\u6700\u7ec8\u5f97\u5230\u5706\u5468\u7387\u7684\u8fd1\u4f3c\u503c\u3002<\/p>\n<\/p>\n<p><h3>\u4e94\u3001\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>\u4ee5\u4e0a\u4ecb\u7ecd\u4e86\u51e0\u79cd\u5e38\u7528\u7684\u7528Python\u8bed\u8a00\u6c42\u5706\u5468\u7387\u7684\u65b9\u6cd5\uff0c\u5305\u62ec\u8499\u7279\u5361\u7f57\u65b9\u6cd5\u3001\u83b1\u5e03\u5c3c\u8328\u516c\u5f0f\u3001\u8d1d\u5229-\u6ce2\u5c14\u6e29-\u666e\u52b3\u82ac\u516c\u5f0f\u548c\u5207\u6bd4\u96ea\u592b\u591a\u9879\u5f0f\u3002\u5176\u4e2d\uff0c<strong>\u8499\u7279\u5361\u7f57\u65b9\u6cd5<\/strong>\u901a\u8fc7\u7edf\u8ba1\u6a21\u62df\u6765\u8fd1\u4f3c\u8ba1\u7b97\u5706\u5468\u7387\uff0c\u65b9\u6cd5\u76f4\u89c2\u4e14\u6613\u4e8e\u7406\u89e3\uff0c\u9002\u5408\u5165\u95e8\u5b66\u4e60\uff1b<strong>\u83b1\u5e03\u5c3c\u8328\u516c\u5f0f<\/strong>\u901a\u8fc7\u65e0\u7a77\u7ea7\u6570\u6c42\u5706\u5468\u7387\uff0c\u8ba1\u7b97\u7b80\u5355\uff0c\u4f46\u6536\u655b\u901f\u5ea6\u8f83\u6162\uff1b<strong>\u8d1d\u5229-\u6ce2\u5c14\u6e29-\u666e\u52b3\u82ac\u516c\u5f0f<\/strong>\u662f\u4e00\u79cd\u5feb\u901f\u6c42\u5706\u5468\u7387\u5c0f\u6570\u4f4d\u7684\u65b9\u6cd5\uff0c\u9002\u5408\u9ad8\u7cbe\u5ea6\u8ba1\u7b97\uff1b<strong>\u5207\u6bd4\u96ea\u592b\u591a\u9879\u5f0f<\/strong>\u901a\u8fc7\u591a\u9879\u5f0f\u903c\u8fd1\u6765\u8ba1\u7b97\u5706\u5468\u7387\uff0c\u65b9\u6cd5\u590d\u6742\u4f46\u7cbe\u5ea6\u8f83\u9ad8\u3002<\/p>\n<\/p>\n<p><p>\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u6765\u6c42\u5706\u5468\u7387\u3002\u5728\u9ad8\u7cbe\u5ea6\u8ba1\u7b97\u548c\u6027\u80fd\u8981\u6c42\u8f83\u9ad8\u7684\u573a\u666f\u4e0b\uff0c\u8d1d\u5229-\u6ce2\u5c14\u6e29-\u666e\u52b3\u82ac\u516c\u5f0f\u548c\u5207\u6bd4\u96ea\u592b\u591a\u9879\u5f0f\u53ef\u80fd\u66f4\u4e3a\u9002\u7528\uff1b\u5728\u5b66\u4e60\u548c\u7406\u89e3\u5706\u5468\u7387\u8ba1\u7b97\u539f\u7406\u65f6\uff0c\u8499\u7279\u5361\u7f57\u65b9\u6cd5\u548c\u83b1\u5e03\u5c3c\u8328\u516c\u5f0f\u5219\u66f4\u4e3a\u76f4\u89c2\u548c\u6613\u4e8e\u5b9e\u73b0\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u7528Python\u8ba1\u7b97\u5706\u5468\u7387\u7684\u7cbe\u786e\u503c\uff1f<\/strong><br \/>\u4f7f\u7528Python\u8ba1\u7b97\u5706\u5468\u7387\u7684\u65b9\u6cd5\u6709\u5f88\u591a\u79cd\uff0c\u5176\u4e2d\u6700\u5e38\u89c1\u7684\u5305\u62ec\u4f7f\u7528\u6570\u5b66\u516c\u5f0f\u5982\u83b1\u5e03\u5c3c\u8328\u516c\u5f0f\u6216\u8499\u7279\u5361\u7f57\u65b9\u6cd5\u3002\u83b1\u5e03\u5c3c\u8328\u516c\u5f0f\u901a\u8fc7\u65e0\u9650\u7ea7\u6570\u8ba1\u7b97\u5706\u5468\u7387\uff0c\u5177\u4f53\u5b9e\u73b0\u53ef\u4ee5\u5229\u7528\u5faa\u73af\u6216\u9012\u5f52\u6765\u7d2f\u52a0\u8fd9\u4e9b\u9879\u3002\u800c\u8499\u7279\u5361\u7f57\u65b9\u6cd5\u5219\u901a\u8fc7\u968f\u673a\u70b9\u7684\u5206\u5e03\u6765<a href=\"https:\/\/docs.pingcode.com\/agile\/project-management\/estimation\" target=\"_blank\">\u4f30\u7b97<\/a>\u5706\u5468\u7387\u7684\u503c\uff0c\u7cbe\u5ea6\u968f\u7740\u968f\u673a\u70b9\u6570\u91cf\u7684\u589e\u52a0\u800c\u63d0\u9ad8\u3002\u53ef\u4ee5\u5c1d\u8bd5\u8fd9\u4e24\u79cd\u65b9\u6cd5\uff0c\u6765\u6bd4\u8f83\u5b83\u4eec\u7684\u6548\u679c\u548c\u8ba1\u7b97\u901f\u5ea6\u3002<\/p>\n<p><strong>\u5728Python\u4e2d\u6709\u4ec0\u4e48\u5e93\u53ef\u4ee5\u76f4\u63a5\u8ba1\u7b97\u5706\u5468\u7387\u5417\uff1f<\/strong><br \/>Python\u7684<code>math<\/code>\u5e93\u63d0\u4f9b\u4e86\u4e00\u4e2a\u5e38\u91cf<code>math.pi<\/code>\uff0c\u53ef\u4ee5\u76f4\u63a5\u83b7\u53d6\u5706\u5468\u7387\u7684\u503c\u3002\u5982\u679c\u9700\u8981\u66f4\u9ad8\u7cbe\u5ea6\u7684\u5706\u5468\u7387\uff0c\u53ef\u4ee5\u4f7f\u7528<code>mpmath<\/code>\u5e93\uff0c\u8fd9\u4e2a\u5e93\u4e13\u95e8\u7528\u4e8e\u9ad8\u7cbe\u5ea6\u6570\u5b66\u8ba1\u7b97\u3002\u901a\u8fc7<code>mpmath<\/code>\uff0c\u7528\u6237\u53ef\u4ee5\u8bbe\u7f6e\u8ba1\u7b97\u7684\u7cbe\u5ea6\uff0c\u5f97\u5230\u76f8\u5e94\u4f4d\u6570\u7684\u5706\u5468\u7387\u3002<\/p>\n<p><strong>\u4f7f\u7528Python\u6c42\u5706\u5468\u7387\u7684\u7a0b\u5e8f\u6709\u54ea\u4e9b\u5e38\u89c1\u7684\u5b9e\u73b0\u65b9\u5f0f\uff1f<\/strong><br \/>\u5e38\u89c1\u7684\u5b9e\u73b0\u65b9\u5f0f\u5305\u62ec\u4f46\u4e0d\u9650\u4e8e\uff1a1) \u5229\u7528\u65e0\u9650\u7ea7\u6570\uff0c\u5982\u83b1\u5e03\u5c3c\u8328\u516c\u5f0f\u6216\u963f\u57fa\u7c73\u5fb7\u7684\u65b9\u6cd5\uff1b2) \u8499\u7279\u5361\u7f57\u6a21\u62df\uff0c\u901a\u8fc7\u968f\u673a\u70b9\u4f30\u7b97\u5706\u5468\u7387\uff1b3) \u4f7f\u7528\u5feb\u901f\u7b97\u6cd5\uff0c\u5982\u9ad8\u65af-\u52d2\u8ba9\u5fb7\u7b97\u6cd5\u3002\u8fd9\u4e9b\u65b9\u6cd5\u5404\u6709\u4f18\u52a3\uff0c\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53d6\u51b3\u4e8e\u5bf9\u8ba1\u7b97\u7cbe\u5ea6\u548c\u6548\u7387\u7684\u9700\u6c42\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5982\u4f55\u7528Python\u8bed\u8a00\u6c42\u5706\u5468\u7387 \u7528Python\u8bed\u8a00\u6c42\u5706\u5468\u7387\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u5176\u4e2d\u4e00\u4e9b\u65b9\u6cd5\u5305\u62ec\u8499\u7279\u5361\u7f57\u65b9\u6cd5\u3001\u83b1\u5e03\u5c3c\u8328 [&hellip;]","protected":false},"author":3,"featured_media":1099052,"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\/1099044"}],"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=1099044"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1099044\/revisions"}],"predecessor-version":[{"id":1099053,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1099044\/revisions\/1099053"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1099052"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1099044"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1099044"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1099044"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}