{"id":30487,"date":"2025-04-13T17:33:02","date_gmt":"2025-04-13T09:33:02","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=30487"},"modified":"2025-07-25T06:16:31","modified_gmt":"2025-07-24T22:16:31","slug":"aipy","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/pt\/aipy\/","title":{"rendered":"AiPy\uff1a\u81ea\u52a8\u5316\u8fd0\u884cPython\u4ee3\u7801\u5b8c\u6210\u6570\u636e\u5206\u6790\u4efb\u52a1"},"content":{"rendered":"<p>AiPy \u662f\u4e00\u4e2a\u5f00\u6e90\u7684 Python \u547d\u4ee4\u884c\u5de5\u5177\uff0c\u7531 Knownsec \u56e2\u961f\u5f00\u53d1\u3002\u5b83\u7ed3\u5408\u5927\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u548c Python \u8fd0\u884c\u73af\u5883\uff0c\u8ba9\u7528\u6237\u901a\u8fc7\u81ea\u7136\u8bed\u8a00\u63cf\u8ff0\u4efb\u52a1\uff0c\u81ea\u52a8\u751f\u6210\u5e76\u8fd0\u884c Python \u4ee3\u7801\u3002AiPy \u9002\u5408\u6570\u636e\u5de5\u7a0b\u5e08\u3001\u7a0b\u5e8f\u5458\u548c\u9700\u8981\u5feb\u901f\u5904\u7406\u6570\u636e\u7684\u7528\u6237\u3002\u5b83\u652f\u6301 CSV\u3001Excel\u3001JSON \u7b49\u591a\u79cd\u683c\u5f0f\uff0c\u8986\u76d6\u6570\u636e\u6e05\u6d17\u3001\u5206\u6790\u3001\u53ef\u89c6\u5316\u7b49\u529f\u80fd\u3002\u7528\u6237\u65e2\u53ef\u4ee5\u7528\u81ea\u7136\u8bed\u8a00\u8f93\u5165\u9700\u6c42\uff0c\u4e5f\u80fd\u76f4\u63a5\u8fd0\u884c Python \u4ee3\u7801\uff0c\u4e24\u79cd\u6a21\u5f0f\u6570\u636e\u5171\u4eab\uff0c\u64cd\u4f5c\u7b80\u5355\u3002AiPy \u7684\u6838\u5fc3\u662f\u964d\u4f4e\u7f16\u7a0b\u95e8\u69db\uff0c\u8ba9\u7528\u6237\u4e13\u6ce8\u4efb\u52a1\u672c\u8eab\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-30488\" title=\"AiPy\uff1a\u81ea\u52a8\u5316\u8fd0\u884cPython\u4ee3\u7801\u5b8c\u6210\u76ee\u6807\u4efb\u52a1-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/3b15427144b8950.png\" alt=\"AiPy\uff1a\u81ea\u52a8\u5316\u8fd0\u884cPython\u4ee3\u7801\u5b8c\u6210\u76ee\u6807\u4efb\u52a1-1\" width=\"842\" height=\"407\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/3b15427144b8950.png 1201w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/3b15427144b8950-768x372.png 768w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/04\/3b15427144b8950-18x9.png 18w\" sizes=\"auto, (max-width: 842px) 100vw, 842px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li>\u81ea\u7136\u8bed\u8a00\u751f\u6210\u4ee3\u7801\uff1a\u7528\u6237\u63cf\u8ff0\u4efb\u52a1\uff0cAiPy \u81ea\u52a8\u751f\u6210\u5e76\u8fd0\u884c Python \u4ee3\u7801\u3002<\/li>\n<li>\u6570\u636e\u683c\u5f0f\u652f\u6301\uff1a\u5904\u7406 CSV\u3001Excel\u3001JSON\u3001SQLite\u3001Parquet \u7b49\u683c\u5f0f\u3002<\/li>\n<li>\u6570\u636e\u5904\u7406\uff1a\u652f\u6301\u6e05\u6d17\u3001\u8f6c\u6362\u3001\u8ba1\u7b97\u3001\u805a\u5408\u3001\u6392\u5e8f\u3001\u5206\u7ec4\u548c\u8fc7\u6ee4\u3002<\/li>\n<li>\u6570\u636e\u53ef\u89c6\u5316\uff1a\u751f\u6210\u67f1\u72b6\u56fe\u3001\u997c\u56fe\u7b49\u56fe\u8868\u3002<\/li>\n<li>Python \u547d\u4ee4\u884c\u6a21\u5f0f\uff1a\u76f4\u63a5\u8f93\u5165\u5e76\u8fd0\u884c Python \u4ee3\u7801\u3002<\/li>\n<li>\u7b2c\u4e09\u65b9\u5e93\u7ba1\u7406\uff1a\u81ea\u52a8\u63d0\u793a\u5b89\u88c5\u6240\u9700\u5e93\uff0c\u5982\u00a0<code>pandas<\/code>\u00a0\u6216\u00a0<code>psutil<\/code>\u3002<\/li>\n<li>\u4ee3\u7801\u7ea0\u9519\uff1a\u901a\u8fc7\u62bd\u8c61\u8bed\u6cd5\u6811\uff08AST\uff09\u68c0\u6d4b\u5e76\u4fee\u590d\u4ee3\u7801\u9519\u8bef\u3002<\/li>\n<li>API \u8c03\u7528\uff1a\u652f\u6301\u4e92\u8054\u7f51 API\uff08\u5982\u5929\u6c14\u3001\u5730\u56fe\uff09\u548c\u672c\u5730\u79c1\u6709 API\u3002<\/li>\n<li>\u6a21\u5f0f\u5207\u6362\uff1a\u4efb\u52a1\u6a21\u5f0f\uff08\u81ea\u7136\u8bed\u8a00\uff09\u548c Python \u6a21\u5f0f\uff08\u4ee3\u7801\u8f93\u5165\uff09\u81ea\u7531\u5207\u6362\u3002<\/li>\n<li>\u672c\u5730\u90e8\u7f72\uff1a\u652f\u6301\u672c\u5730\u6570\u636e\u5904\u7406\uff0c\u4fdd\u62a4\u9690\u79c1\u5b89\u5168\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<p>AiPy \u652f\u6301 Windows\u3001macOS \u548c Linux\uff0c\u63a8\u8350\u4f7f\u7528 Python 3.9 \u6216\u4ee5\u4e0a\u7248\u672c\u3002\u4ee5\u4e0b\u662f\u5b89\u88c5\u6b65\u9aa4\uff1a<\/p>\n<ol>\n<li><strong>\u68c0\u67e5 Python \u7248\u672c<\/strong><br \/>\n\u786e\u4fdd\u5b89\u88c5\u4e86 Python 3.9+\u3002\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u786e\u8ba4\uff1a<\/p>\n<pre><code>python3 --version\r\n<\/code><\/pre>\n<p>\u5982\u679c\u7248\u672c\u4e0d\u8db3\uff0c\u53ef\u4ece\u00a0Python \u5b98\u7f51\u00a0\u4e0b\u8f7d\u5b89\u88c5\u3002<\/li>\n<li><strong>\u901a\u8fc7 pip \u5b89\u88c5<\/strong><br \/>\n\u4f7f\u7528 pip \u5b89\u88c5 AiPy\uff1a<\/p>\n<pre><code>pip install aipyapp\r\n<\/code><\/pre>\n<p>\u8fd9\u4f1a\u81ea\u52a8\u5b89\u88c5\u4f9d\u8d56\u5e93\u3002\u5982\u9047\u95ee\u9898\uff0c\u53ef\u5347\u7ea7 pip\uff1a<\/p>\n<pre><code>pip install --upgrade pip\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u514b\u9686\u6e90\u7801\uff08\u53ef\u9009\uff09<\/strong><br \/>\n\u60f3\u4f53\u9a8c\u6700\u65b0\u529f\u80fd\uff0c\u53ef\u514b\u9686 GitHub \u4ed3\u5e93\uff1a<\/p>\n<pre><code>git clone https:\/\/github.com\/knownsec\/aipyapp.git\r\ncd aipyapp\r\n<\/code><\/pre>\n<p>\u521b\u5efa\u865a\u62df\u73af\u5883\u5e76\u5b89\u88c5\u4f9d\u8d56\uff1a<\/p>\n<pre><code>python3 -m venv venv\r\nsource venv\/bin\/activate  # Linux\/macOS\r\nvenv\\Scripts\\activate     # Windows\r\npip install -r requirements.txt\r\n<\/code><\/pre>\n<\/li>\n<li><strong>Windows \u514d\u5b89\u88c5\u7248<\/strong><br \/>\nWindows \u7528\u6237\u53ef\u4e0b\u8f7d\u4e00\u952e\u8fd0\u884c\u5305\uff0c\u89e3\u538b\u540e\u8fd0\u884c\u00a0<code>update.bat<\/code>\u00a0\u542f\u52a8 AiPy\uff0c\u65e0\u9700\u914d\u7f6e\u73af\u5883\u3002\u4e0b\u8f7d\u94fe\u63a5\uff1a<a href=\"https:\/\/wreabnvkfptcazgt.aqyun.org\/downloads\/aipy20250411.zip\">AiPy \u514d\u5b89\u88c5\u5305<\/a>\u3002<\/li>\n<li><strong>\u914d\u7f6e\u5927\u6a21\u578b<\/strong><br \/>\nAiPy \u9700\u8981\u5927\u6a21\u578b\u652f\u6301\uff0c\u63a8\u8350 <a href=\"https:\/\/www.kdjingpai.com\/pt\/deepseek-chatshena\/\">DeepSeek<\/a> API\uff08\u6027\u4ef7\u6bd4\u9ad8\uff09\u3002\u5728\u5b89\u88c5\u76ee\u5f55\u6216\u7528\u6237\u76ee\u5f55\u521b\u5efa\u914d\u7f6e\u6587\u4ef6\uff08\u5982\u00a0<code>.aipyconfig<\/code>\uff09\uff0c\u586b\u5165 API \u4fe1\u606f\uff1a<\/p>\n<pre><code>[llm]\r\napi_key = your_deepseek_api_key\r\nmodel = deepseek\r\n<\/code><\/pre>\n<p>\u652f\u6301\u672c\u5730\u6a21\u578b\uff08\u5982 Ollama\u3001LMStudio\uff09\uff0c\u9700\u914d\u7f6e API \u5730\u5740\u3002<\/li>\n<li><strong>\u542f\u52a8 AiPy<\/strong><br \/>\n\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\uff1a<\/p>\n<pre><code>aipython\r\n<\/code><\/pre>\n<p>\u9ed8\u8ba4\u8fdb\u5165\u4efb\u52a1\u6a21\u5f0f\uff0c\u63d0\u793a\u7b26\u4e3a\u00a0<code>AiPy (Quit with 'exit()') &gt;&gt;&gt;<\/code>\u3002<\/li>\n<\/ol>\n<h3>\u57fa\u672c\u4f7f\u7528<\/h3>\n<p>AiPy \u63d0\u4f9b\u4efb\u52a1\u6a21\u5f0f\u548c Python \u6a21\u5f0f\uff0c\u4e24\u79cd\u6a21\u5f0f\u6570\u636e\u4e92\u901a\u3002<\/p>\n<ul>\n<li><strong>\u4efb\u52a1\u6a21\u5f0f<\/strong><br \/>\n\u9002\u5408\u5feb\u901f\u4efb\u52a1\u5904\u7406\u3002\u7528\u6237\u8f93\u5165\u81ea\u7136\u8bed\u8a00\uff0cAiPy \u751f\u6210\u5e76\u8fd0\u884c\u4ee3\u7801\u3002\u4f8b\u5982\uff1a<\/p>\n<pre><code>ai(\"\u8bfb\u53d6 orders.csv\uff0c\u8ba1\u7b97\u6bcf\u79cd\u4ea7\u54c1\u7684\u603b\u6536\u5165\")\r\n<\/code><\/pre>\n<p>AiPy \u751f\u6210\u4ee3\u7801\uff1a<\/p>\n<pre><code>import pandas as pd\r\ndf = pd.read_csv('orders.csv')\r\ndf['\u6536\u5165'] = df['\u4ef7\u683c'] * df['\u6570\u91cf']\r\nresult = df.groupby('\u4ea7\u54c1')['\u6536\u5165'].sum()\r\nprint(result)\r\n<\/code><\/pre>\n<p>\u82e5\u9700\u7b2c\u4e09\u65b9\u5e93\uff0c\u4f1a\u63d0\u793a\uff1a<\/p>\n<pre><code>\ud83d\udce6 LLM requests to install third-party packages: ['pandas']\r\nIf you agree, enter 'y [y\/n] (n):\r\n<\/code><\/pre>\n<p>\u8f93\u5165\u00a0<code>y<\/code>\u00a0\u786e\u8ba4\u3002<\/li>\n<li><strong>Python \u6a21\u5f0f<\/strong><br \/>\n\u9002\u5408\u719f\u6089 Python \u7684\u7528\u6237\uff0c\u542f\u52a8\u547d\u4ee4\uff1a<\/p>\n<pre><code>aipython --python\r\n<\/code><\/pre>\n<p>\u76f4\u63a5\u8f93\u5165\u4ee3\u7801\uff0c\u4f8b\u5982\uff1a<\/p>\n<pre><code>import pandas as pd\r\ndf = pd.read_csv('orders.csv')\r\nprint(df.head())\r\n<\/code><\/pre>\n<p>\u4efb\u52a1\u6a21\u5f0f\u751f\u6210\u7684\u6570\u636e\u53ef\u5728 Python \u6a21\u5f0f\u7ee7\u7eed\u4f7f\u7528\u3002<\/li>\n<\/ul>\n<h3>\u7279\u8272\u529f\u80fd\u64cd\u4f5c<\/h3>\n<ol>\n<li><strong>\u81ea\u7136\u8bed\u8a00\u7f16\u7a0b<\/strong><br \/>\n\u7528\u6237\u63cf\u8ff0\u9700\u6c42\uff0cAiPy \u81ea\u52a8\u751f\u6210\u4ee3\u7801\u3002\u4f8b\u5982\uff1a<\/p>\n<pre><code>ai(\"\u4ece data.csv \u7b5b\u9009\u85aa\u8d44\u9ad8\u4e8e 5000 \u7684\u8bb0\u5f55\uff0c\u6309\u5e74\u9f84\u6392\u5e8f\")\r\n<\/code><\/pre>\n<p>\u751f\u6210\u4ee3\u7801\uff1a<\/p>\n<pre><code>import pandas as pd\r\ndf = pd.read_csv('data.csv')\r\nresult = df[df['\u85aa\u8d44'] &gt; 5000][['\u59d3\u540d', '\u5e74\u9f84', '\u85aa\u8d44']].sort_values(by='\u5e74\u9f84')\r\nprint(result)\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u6570\u636e\u53ef\u89c6\u5316<\/strong><br \/>\n\u652f\u6301\u751f\u6210\u56fe\u8868\u3002\u4f8b\u5982\uff1a<\/p>\n<pre><code>ai(\"\u7ed8\u5236 orders.csv \u4e2d\u4ea7\u54c1\u6536\u5165\u7684\u997c\u56fe\")\r\n<\/code><\/pre>\n<p>\u751f\u6210\u4ee3\u7801\uff1a<\/p>\n<pre><code>import pandas as pd\r\nimport matplotlib.pyplot as plt\r\ndf = pd.read_csv('orders.csv')\r\ndf['\u6536\u5165'] = df['\u4ef7\u683c'] * df['\u6570\u91cf']\r\nresult = df.groupby('\u4ea7\u54c1')['\u6536\u5165'].sum()\r\nplt.pie(result, labels=result.index, autopct='%1.1f%%')\r\nplt.show()\r\n<\/code><\/pre>\n<\/li>\n<li><strong>API \u8c03\u7528<\/strong><br \/>\n\u652f\u6301\u4e92\u8054\u7f51\u548c\u672c\u5730 API\u3002\u4f8b\u5982\uff1a<\/p>\n<pre><code>ai(\"\u67e5\u8be2\u4e0a\u6d77\u660e\u5929\u5929\u6c14\")\r\n<\/code><\/pre>\n<p>AiPy \u8c03\u7528\u5929\u6c14 API\uff0c\u8fd4\u56de\u7ed3\u679c\u3002\u9700\u914d\u7f6e API Key\u3002<\/li>\n<li><strong>\u4ee3\u7801\u7ea0\u9519<\/strong><br \/>\nAiPy \u4f7f\u7528 AST \u68c0\u6d4b\u5e76\u4fee\u590d\u4ee3\u7801\u9519\u8bef\uff0c\u5982\u7f29\u8fdb\u6216\u8bed\u6cd5\u95ee\u9898\uff0c\u786e\u4fdd\u8fd0\u884c\u987a\u5229\u3002<\/li>\n<li><strong>\u672c\u5730\u90e8\u7f72<\/strong><br \/>\n\u652f\u6301\u672c\u5730\u8fd0\u884c\uff0c\u6570\u636e\u5904\u7406\u5728\u7528\u6237\u8bbe\u5907\u5b8c\u6210\uff0c\u9002\u5408\u654f\u611f\u6570\u636e\u573a\u666f\u3002\u914d\u7f6e\u672c\u5730\u6a21\u578b\u540e\u65e0\u9700\u8054\u7f51\u3002<\/li>\n<\/ol>\n<h3>\u64cd\u4f5c\u6d41\u7a0b\u793a\u4f8b<\/h3>\n<p>\u4ee5\u5904\u7406\u00a0<code>sales.csv<\/code>\uff08\u5217\uff1a\u4ea7\u54c1\u3001\u4ef7\u683c\u3001\u9500\u91cf\uff09\u4e3a\u4f8b\uff1a<\/p>\n<ol>\n<li>\u542f\u52a8 AiPy\uff1a\n<pre><code>aipython\r\n<\/code><\/pre>\n<\/li>\n<li>\u8f93\u5165\u4efb\u52a1\uff1a\n<pre><code>ai(\"\u8bfb\u53d6 sales.csv\uff0c\u8ba1\u7b97\u6bcf\u79cd\u4ea7\u54c1\u603b\u9500\u91cf\")\r\n<\/code><\/pre>\n<p>\u8f93\u51fa\uff1a<\/p>\n<pre><code>\u4ea7\u54c1    \u603b\u9500\u91cf\r\n\u624b\u673a    100\r\n\u7535\u8111     50\r\n<\/code><\/pre>\n<\/li>\n<li>\u751f\u6210\u56fe\u8868\uff1a\n<pre><code>ai(\"\u7ed8\u5236\u603b\u9500\u91cf\u7684\u67f1\u72b6\u56fe\")\r\n<\/code><\/pre>\n<p>\u663e\u793a\u67f1\u72b6\u56fe\u3002<\/li>\n<li>\u5207\u6362 Python \u6a21\u5f0f\uff1a\n<pre><code>aipython --python\r\n<\/code><\/pre>\n<p>\u8f93\u5165\uff1a<\/p>\n<pre><code>plt.title('\u4ea7\u54c1\u9500\u91cf')\r\nplt.show()\r\n<\/code><\/pre>\n<\/li>\n<\/ol>\n<h3>\u6ce8\u610f\u4e8b\u9879<\/h3>\n<ul>\n<li>\u786e\u4fdd\u6587\u4ef6\u8def\u5f84\u6b63\u786e\uff0c\u5426\u5219\u63d0\u793a\u9519\u8bef\u3002<\/li>\n<li>\u914d\u7f6e API \u65f6\u68c0\u67e5\u7f51\u7edc\u6216\u672c\u5730\u6a21\u578b\u72b6\u6001\u3002<\/li>\n<li>\u672c\u5730\u6a21\u578b\u9700\u786c\u4ef6\u652f\u6301\uff08\u5982 GPU\uff09\u3002<\/li>\n<li>\u9000\u51fa AiPy \u8f93\u5165\u00a0<code>exit()<\/code>\u3002<\/li>\n<\/ul>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<ol>\n<li><strong>\u6570\u636e\u5206\u6790<\/strong><br \/>\n\u6570\u636e\u5de5\u7a0b\u5e08\u5feb\u901f\u5904\u7406 Excel \u6216 CSV\uff0c\u5b8c\u6210\u6e05\u6d17\u3001\u7edf\u8ba1\u548c\u53ef\u89c6\u5316\uff0c\u7701\u53bb\u624b\u52a8\u7f16\u7801\u3002<\/li>\n<li><strong>\u7f16\u7a0b\u5b66\u4e60<\/strong><br \/>\n\u521d\u5b66\u8005\u7528\u81ea\u7136\u8bed\u8a00\u5c1d\u8bd5\u4efb\u52a1\uff0c\u67e5\u770b\u751f\u6210\u4ee3\u7801\uff0c\u5b66\u4e60 Python \u5e93\u7528\u6cd5\u3002<\/li>\n<li><strong>\u81ea\u52a8\u5316\u811a\u672c<\/strong><br \/>\n\u5f00\u53d1\u8005\u751f\u6210\u811a\u672c\u5904\u7406\u6587\u4ef6\u3001\u76d1\u63a7\u8d44\u6e90\u6216\u8c03\u7528 API\u3002<\/li>\n<li><strong>\u751f\u6d3b\u52a9\u624b<\/strong><br \/>\n\u67e5\u8be2\u5929\u6c14\u3001\u89c4\u5212\u884c\u7a0b\u6216\u7b5b\u9009\u7f8e\u98df\uff0cAiPy \u81ea\u52a8\u6574\u7406\u7ed3\u679c\u3002<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<h2>QA<\/h2>\n<ol>\n<li><strong>AiPy \u652f\u6301\u54ea\u4e9b\u6a21\u578b\uff1f<\/strong><br \/>\n\u652f\u6301 DeepSeek\u3001Ollama\u3001LMStudio \u7b49\uff0c\u914d\u7f6e\u6587\u4ef6\u4e2d\u8bbe\u7f6e API \u5373\u53ef\u3002\u63a8\u8350 DeepSeek\u3002<\/li>\n<li><strong>\u5982\u4f55\u8c03\u7528\u672c\u5730 API\uff1f<\/strong><br \/>\n\u5728\u914d\u7f6e\u6587\u4ef6\u4e2d\u6dfb\u52a0 API \u5730\u5740\u548c\u8bf4\u660e\uff0cAiPy \u81ea\u52a8\u751f\u6210\u8c03\u7528\u4ee3\u7801\u3002<\/li>\n<li><strong>\u4ee3\u7801\u51fa\u9519\u600e\u4e48\u529e\uff1f<\/strong><br \/>\nAiPy \u901a\u8fc7 AST \u4fee\u590d\u5e38\u89c1\u9519\u8bef\u3002\u82e5\u5931\u8d25\uff0c\u53ef\u7528 Python \u6a21\u5f0f\u624b\u52a8\u8c03\u6574\u3002<\/li>\n<li><strong>\u9700\u8981\u8054\u7f51\u5417\uff1f<\/strong><br \/>\n\u672c\u5730\u90e8\u7f72\u65e0\u9700\u8054\u7f51\uff0c\u9002\u5408\u9690\u79c1\u573a\u666f\u3002\u8c03\u7528\u4e92\u8054\u7f51 API \u9700\u7f51\u7edc\u3002<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>AiPy \u662f\u4e00\u4e2a\u5f00\u6e90\u7684 Python \u547d\u4ee4\u884c\u5de5\u5177\uff0c\u7531 Knownsec \u56e2\u961f\u5f00\u53d1\u3002\u5b83\u7ed3\u5408\u5927\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u548c Python \u8fd0\u884c\u73af\u5883\uff0c\u8ba9\u7528\u6237\u901a\u8fc7\u81ea\u7136\u8bed\u8a00\u63cf\u8ff0\u4efb\u52a1\uff0c\u81ea\u52a8\u751f\u6210\u5e76\u8fd0\u884c Python \u4ee3\u7801\u3002AiPy \u9002\u5408\u6570\u636e\u5de5\u7a0b\u5e08\u3001\u7a0b\u5e8f\u5458\u548c\u9700\u8981\u5feb&#8230;<\/p>\n","protected":false},"author":1,"featured_media":32782,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[425,20,494],"tags":[230,373],"class_list":["post-30487","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-professional","category-tool","category-desktop-automation","tag-aikaiyuanxiangmu","tag-zhuomianzidonghuazhian"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/posts\/30487","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/comments?post=30487"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/posts\/30487\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/media\/32782"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/media?parent=30487"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/categories?post=30487"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/pt\/wp-json\/wp\/v2\/tags?post=30487"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}