{"id":338,"date":"2026-06-05T17:03:40","date_gmt":"2026-06-05T09:03:40","guid":{"rendered":"http:\/\/climbing.top\/index.php\/2026\/06\/05\/day19wanke-aidaimarangaibangnixiechengxu\/"},"modified":"2026-06-05T17:03:40","modified_gmt":"2026-06-05T09:03:40","slug":"day19wanke-aidaimarangaibangnixiechengxu","status":"publish","type":"post","link":"https:\/\/climbing.top\/index.php\/2026\/06\/05\/day19wanke-aidaimarangaibangnixiechengxu\/","title":{"rendered":"Day19\u2014\u2014\u665a\u8bfe AI\u4ee3\u7801\uff1a\u8ba9AI\u5e2e\u4f60\u5199\u7a0b\u5e8f"},"content":{"rendered":"<h2>\u7cfb\u5217\u6559\u7a0b\u8bf4\u660e<\/h2>\n<p>\u8fd9\u662f\u300cAI\u4e13\u5bb6\u517b\u6210\u8ba1\u5212\u300d\u7cfb\u5217\u6559\u7a0b\u7684\u7b2c38\u7bc7\uff0c\u5171140\u7bc7\u3002\u4eceAI\u96f6\u57fa\u7840\u51fa\u53d1\uff0c\u6bcf\u5929\u8fdb\u6b65\u4e00\u70b9\u70b9\u3002\u665a\u95f4\u5b9e\u8df5\u8bfe\u4ee5\u52a8\u624b\u4e3a\u4e3b\u2014\u2014\u8ddf\u7740\u505a\u4e00\u904d\uff0c\u4f60\u5c31\u80fd\u638c\u63e1\u4eca\u5929\u7684\u5185\u5bb9\u3002<\/p>\n<h2>\u4e0a\u7bc7\u56de\u987e<\/h2>\n<p>\u4eca\u5929\u65e9\u8bfe\u6211\u4eec\u4e86\u89e3\u4e86AI\u7f16\u7a0b\u7684\u5168\u8c8c\u3002\u4e09\u4e2a\u6838\u5fc3\u8981\u70b9\uff1a<\/p>\n<ul>\n<li><strong>AI\u7f16\u7a0b\u7684\u672c\u8d28<\/strong>\u662f&#8221;\u7528\u81ea\u7136\u8bed\u8a00\u63cf\u8ff0\u9700\u6c42\uff0cAI\u5e2e\u4f60\u751f\u6210\u4ee3\u7801&#8221;\u2014\u2014\u4f60\u4e0d\u9700\u8981\u4f1a\u5199\u4ee3\u7801<\/li>\n<li><strong>\u4e3b\u6d41\u5de5\u5177<\/strong>\u5206\u4e3a\u4e09\u7c7b\uff1a\u7f16\u8f91\u5668\u52a9\u624b\uff08Copilot\uff09\u3001\u5bf9\u8bdd\u5f0f\u751f\u6210\uff08ChatGPT\/Claude\uff09\u3001AI\u539f\u751fIDE\uff08Cursor\uff09<\/li>\n<li><strong>AI\u7f16\u7a0b\u7684\u8fb9\u754c<\/strong>\u5728\u4e8e\uff1a\u5b83\u80fd\u5199\u4ee3\u7801\uff0c\u4f46\u4e0d\u80fd\u66ff\u4f60\u601d\u8003\u4e1a\u52a1\u903b\u8f91<\/li>\n<\/ul>\n<p>\u4eca\u665a\uff0c\u6211\u4eec\u52a8\u624b\u5b9e\u64cd\u3002\u4e0d\u7528\u5b89\u88c5\u4efb\u4f55\u7f16\u7a0b\u73af\u5883\uff0c\u6253\u5f00\u6d4f\u89c8\u5668\u5c31\u80fd\u5f00\u59cb\u3002<\/p>\n<p><!--more--><\/p>\n<hr>\n<h2>\u51c6\u5907\u5de5\u4f5c\uff1a\u4f60\u9700\u8981\u4ec0\u4e48<\/h2>\n<p>\u4eca\u665a\u7684\u5b9e\u64cd\u53ea\u9700\u8981\u4e24\u6837\u4e1c\u897f\uff1a<\/p>\n<ol>\n<li><strong>\u4e00\u4e2aAI\u5bf9\u8bdd\u5de5\u5177<\/strong>\u2014\u2014ChatGPT\u3001Claude\u3001\u6216\u8005\u4f60\u624b\u8fb9\u4efb\u4f55AI\u52a9\u624b\u90fd\u884c<\/li>\n<li><strong>\u4e00\u4e2a\u5728\u7ebf\u4ee3\u7801\u8fd0\u884c\u73af\u5883<\/strong>\u2014\u2014\u63a8\u8350 <a href=\"https:\/\/colab.research.google.com\">Google Colab<\/a>\uff08\u514d\u8d39\uff0c\u65e0\u9700\u5b89\u88c5\uff09<\/li>\n<\/ol>\n<p>\u5982\u679c\u4f60\u5df2\u7ecf\u6709\u672c\u5730Python\u73af\u5883\uff0c\u90a3\u66f4\u597d\u3002\u6ca1\u6709\u7684\u8bdd\uff0cColab\u5b8c\u5168\u591f\u7528\u2014\u2014\u6253\u5f00\u6d4f\u89c8\u5668\u5c31\u80fd\u5199\u4ee3\u7801\u3001\u770b\u7ed3\u679c\u3002<\/p>\n<blockquote>\n<p><strong>\u5c0f\u8d34\u58eb<\/strong>\uff1aColab\u662fGoogle\u63d0\u4f9b\u7684\u514d\u8d39\u5728\u7ebfJupyter Notebook\u73af\u5883\u3002\u4f60\u4e0d\u9700\u8981\u61c2\u4ec0\u4e48\u662fJupyter\uff0c\u53ea\u8981\u77e5\u9053\uff1a\u5728\u683c\u5b50\u91cc\u5199\u4ee3\u7801\uff0c\u6309Shift+Enter\u5c31\u80fd\u8fd0\u884c\u3002<\/p>\n<\/blockquote>\n<hr>\n<h2>\u5b9e\u64cd\u4e00\uff1a\u8ba9AI\u5e2e\u4f60\u5904\u7406Excel\u6570\u636e<\/h2>\n<h3>\u573a\u666f\u8bbe\u5b9a<\/h3>\n<p>\u5047\u8bbe\u4f60\u662f\u4e00\u4e2a\u8fd0\u8425\u4eba\u5458\uff0c\u624b\u91cc\u6709\u4e00\u4efdCSV\u6587\u4ef6\uff0c\u5185\u5bb9\u662f\u7528\u6237\u53cd\u9988\u6570\u636e\uff1a<\/p>\n<p><code>`<\/code><\/p>\n<p>\u7528\u6237ID,\u53cd\u9988\u5185\u5bb9,\u8bc4\u5206,\u65e5\u671f<\/p>\n<p>001,\u8fd9\u4e2aApp\u592a\u597d\u7528\u4e86\uff01,5,2026-06-01<\/p>\n<p>002,\u7ecf\u5e38\u95ea\u9000\u5f88\u70e6\u4eba,1,2026-06-02<\/p>\n<p>003,\u754c\u9762\u8bbe\u8ba1\u4e0d\u9519\u4f46\u529f\u80fd\u592a\u5c11,3,2026-06-03<\/p>\n<p>004,\u5e0c\u671b\u80fd\u589e\u52a0\u591c\u95f4\u6a21\u5f0f,4,2026-06-04<\/p>\n<p>005,\u66f4\u65b0\u540e\u66f4\u5361\u4e86,1,2026-06-05<\/p>\n<p><code>`<\/code><\/p>\n<p>\u4f60\u9700\u8981\u505a\u4e09\u4ef6\u4e8b\uff1a<\/p>\n<ol>\n<li>\u7edf\u8ba1\u5404\u8bc4\u5206\u7b49\u7ea7\u7684\u6570\u91cf<\/li>\n<li>\u627e\u51fa\u6240\u6709\u8bc4\u5206\u22642\u7684\u5dee\u8bc4<\/li>\n<li>\u753b\u4e00\u4e2a\u8bc4\u5206\u5206\u5e03\u997c\u56fe<\/li>\n<\/ol>\n<h3>\u7b2c\u4e00\u6b65\uff1a\u5411AI\u63cf\u8ff0\u4f60\u7684\u9700\u6c42<\/h3>\n<p>\u6253\u5f00ChatGPT\u6216Claude\uff0c\u8f93\u5165\uff1a<\/p>\n<blockquote>\n<p>\u6211\u6709\u4e00\u4e2aCSV\u6587\u4ef6\uff0c\u5305\u542b\u7528\u6237\u53cd\u9988\u6570\u636e\uff0c\u5217\u540d\u662f\uff1a\u7528\u6237ID\u3001\u53cd\u9988\u5185\u5bb9\u3001\u8bc4\u5206\u3001\u65e5\u671f\u3002\u8bf7\u5e2e\u6211\u5199\u4e00\u4e2aPython\u811a\u672c\uff0c\u5b8c\u6210\u4ee5\u4e0b\u4efb\u52a1\uff1a<\/p>\n<\/blockquote>\n<p>&gt;<\/p>\n<blockquote>\n<p>1. \u8bfb\u53d6CSV\u6587\u4ef6<\/p>\n<\/blockquote>\n<blockquote>\n<p>2. \u7edf\u8ba1\u5404\u8bc4\u5206\uff081-5\uff09\u7684\u6570\u91cf\u5e76\u6253\u5370<\/p>\n<\/blockquote>\n<blockquote>\n<p>3. \u7b5b\u9009\u51fa\u8bc4\u5206\u22642\u7684\u6240\u6709\u8bb0\u5f55\uff0c\u4fdd\u5b58\u4e3a&#8221;\u5dee\u8bc4.csv&#8221;<\/p>\n<\/blockquote>\n<blockquote>\n<p>4. \u753b\u4e00\u4e2a\u8bc4\u5206\u5206\u5e03\u7684\u997c\u56fe\uff0c\u4fdd\u5b58\u4e3a&#8221;\u8bc4\u5206\u5206\u5e03.png&#8221;<\/p>\n<\/blockquote>\n<p>&gt;<\/p>\n<blockquote>\n<p>\u8bf7\u4f7f\u7528pandas\u548cmatplotlib\u5e93\uff0c\u4ee3\u7801\u91cc\u52a0\u4e0a\u4e2d\u6587\u6ce8\u91ca\u3002<\/p>\n<\/blockquote>\n<h3>\u7b2c\u4e8c\u6b65\uff1a\u62ff\u5230\u4ee3\u7801\u5e76\u8fd0\u884c<\/h3>\n<p>AI\u4f1a\u7ed9\u4f60\u4e00\u6bb5\u7c7b\u4f3c\u8fd9\u6837\u7684\u4ee3\u7801\uff1a<\/p>\n<p><code>`<\/code>python<\/p>\n<p>import pandas as pd<\/p>\n<p>import matplotlib.pyplot as plt<\/p>\n<p># \u8bbe\u7f6e\u4e2d\u6587\u5b57\u4f53\uff0c\u9632\u6b62\u4e71\u7801<\/p>\n<p>plt.rcParams[&#8216;font.sans-serif&#8217;] = [&#8216;SimHei&#8217;]<\/p>\n<p>plt.rcParams[&#8216;axes.unicode_minus&#8217;] = False<\/p>\n<p># \u8bfb\u53d6CSV\u6587\u4ef6<\/p>\n<p>df = pd.read_csv(&#8216;\u53cd\u9988\u6570\u636e.csv&#8217;)<\/p>\n<p># \u7edf\u8ba1\u5404\u8bc4\u5206\u6570\u91cf<\/p>\n<p>\u8bc4\u5206\u7edf\u8ba1 = df[&#8216;\u8bc4\u5206&#8217;].value_counts().sort_index()<\/p>\n<p>print(&#8220;\u5404\u8bc4\u5206\u6570\u91cf\uff1a&#8221;)<\/p>\n<p>print(\u8bc4\u5206\u7edf\u8ba1)<\/p>\n<p># \u7b5b\u9009\u5dee\u8bc4<\/p>\n<p>\u5dee\u8bc4 = df[df[&#8216;\u8bc4\u5206&#8217;] &lt;= 2]<\/p>\n<p>\u5dee\u8bc4.to_csv(&#8216;\u5dee\u8bc4.csv&#8217;, index=False, encoding=&#8217;utf-8-sig&#8217;)<\/p>\n<p>print(f&#8221;n\u5171\u627e\u5230 {len(\u5dee\u8bc4)} \u6761\u5dee\u8bc4\uff0c\u5df2\u4fdd\u5b58\u5230 \u5dee\u8bc4.csv&#8221;)<\/p>\n<p># \u753b\u997c\u56fe<\/p>\n<p>plt.figure(figsize=(8, 6))<\/p>\n<p>plt.pie(\u8bc4\u5206\u7edf\u8ba1.values, labels=[f'{s}\u5206&#8217; for s in \u8bc4\u5206\u7edf\u8ba1.index],<\/p>\n<p>        autopct=&#8217;%1.1f%%&#8217;, startangle=90)<\/p>\n<p>plt.title(&#8216;\u7528\u6237\u8bc4\u5206\u5206\u5e03&#8217;)<\/p>\n<p>plt.savefig(&#8216;\u8bc4\u5206\u5206\u5e03.png&#8217;, dpi=150, bbox_inches=&#8217;tight&#8217;)<\/p>\n<p>plt.show()<\/p>\n<p>print(&#8220;\u997c\u56fe\u5df2\u4fdd\u5b58\u5230 \u8bc4\u5206\u5206\u5e03.png&#8221;)<\/p>\n<p><code>`<\/code><\/p>\n<h3>\u7b2c\u4e09\u6b65\uff1a\u5728Colab\u4e2d\u8fd0\u884c<\/h3>\n<ol>\n<li>\u6253\u5f00 <a href=\"https:\/\/colab.research.google.com\">colab.research.google.com<\/a><\/li>\n<li>\u65b0\u5efa\u4e00\u4e2a\u7b14\u8bb0\u672c<\/li>\n<li>\u628aAI\u751f\u6210\u7684\u4ee3\u7801\u7c98\u8d34\u8fdb\u53bb<\/li>\n<li>\u5728\u4ee3\u7801\u524d\u52a0\u4e00\u4e2a\u683c\u5b50\uff0c\u5199\u5165\u6d4b\u8bd5\u6570\u636e\uff1a<\/li>\n<\/ol>\n<p><code>`<\/code>python<\/p>\n<p># \u521b\u5efa\u6d4b\u8bd5\u6570\u636e<\/p>\n<p>import pandas as pd<\/p>\n<p>data = {<\/p>\n<p>    &#8216;\u7528\u6237ID&#8217;: [&#8216;001&#8217;, &#8216;002&#8217;, &#8216;003&#8217;, &#8216;004&#8217;, &#8216;005&#8217;],<\/p>\n<p>    &#8216;\u53cd\u9988\u5185\u5bb9&#8217;: [&#8216;\u8fd9\u4e2aApp\u592a\u597d\u7528\u4e86\uff01&#8217;, &#8216;\u7ecf\u5e38\u95ea\u9000\u5f88\u70e6\u4eba&#8217;, &#8216;\u754c\u9762\u8bbe\u8ba1\u4e0d\u9519\u4f46\u529f\u80fd\u592a\u5c11&#8217;, &#8216;\u5e0c\u671b\u80fd\u589e\u52a0\u591c\u95f4\u6a21\u5f0f&#8217;, &#8216;\u66f4\u65b0\u540e\u66f4\u5361\u4e86&#8217;],<\/p>\n<p>    &#8216;\u8bc4\u5206&#8217;: [5, 1, 3, 4, 1],<\/p>\n<p>    &#8216;\u65e5\u671f&#8217;: [&#8216;2026-06-01&#8217;, &#8216;2026-06-02&#8217;, &#8216;2026-06-03&#8217;, &#8216;2026-06-04&#8217;, &#8216;2026-06-05&#8217;]<\/p>\n<p>}<\/p>\n<p>df = pd.DataFrame(data)<\/p>\n<p>df.to_csv(&#8216;\u53cd\u9988\u6570\u636e.csv&#8217;, index=False, encoding=&#8217;utf-8-sig&#8217;)<\/p>\n<p>print(&#8220;\u6d4b\u8bd5\u6570\u636e\u5df2\u521b\u5efa\uff01&#8221;)<\/p>\n<p><code>`<\/code><\/p>\n<ol>\n<li>\u6309Shift+Enter\u4f9d\u6b21\u8fd0\u884c\u6bcf\u4e2a\u683c\u5b50<\/li>\n<\/ol>\n<p><strong>\u4f60\u4f1a\u770b\u5230<\/strong>\uff1a\u7ec8\u7aef\u8f93\u51fa\u8bc4\u5206\u7edf\u8ba1\uff0c\u4e00\u4e2a\u997c\u56fe\u76f4\u63a5\u663e\u793a\u5728\u9875\u9762\u4e0a\uff0c\u540c\u65f6\u751f\u6210\u4e86&#8221;\u5dee\u8bc4.csv&#8221;\u6587\u4ef6\u3002<\/p>\n<blockquote>\n<p><strong>\u5173\u952e\u611f\u53d7<\/strong>\uff1a\u4f60\u4ece\u5934\u5230\u5c3e\u6ca1\u6709&#8221;\u5199&#8221;\u4ee3\u7801\uff0c\u53ea\u662f&#8221;\u63cf\u8ff0&#8221;\u4e86\u9700\u6c42\uff0c\u7136\u540e&#8221;\u590d\u5236\u7c98\u8d34&#8221;\u4e86\u7ed3\u679c\u3002\u8fd9\u5c31\u662fAI\u7f16\u7a0b\u7684\u65e5\u5e38\u3002<\/p>\n<\/blockquote>\n<hr>\n<h2>\u5b9e\u64cd\u4e8c\uff1a\u8ba9AI\u5e2e\u4f60\u5199\u4e00\u4e2a\u7f51\u9875\u5c0f\u5de5\u5177<\/h2>\n<h3>\u573a\u666f\u8bbe\u5b9a<\/h3>\n<p>\u4f60\u60f3\u505a\u4e00\u4e2a\u7b80\u5355\u7684BMI\u8ba1\u7b97\u5668\u7f51\u9875\u2014\u2014\u8f93\u5165\u8eab\u9ad8\u4f53\u91cd\uff0c\u81ea\u52a8\u7b97\u51faBMI\u503c\u5e76\u7ed9\u51fa\u5065\u5eb7\u5efa\u8bae\u3002<\/p>\n<h3>\u5411AI\u63cf\u8ff0\u9700\u6c42<\/h3>\n<blockquote>\n<p>\u5e2e\u6211\u5199\u4e00\u4e2a\u5355\u6587\u4ef6\u7684HTML\u7f51\u9875\uff0c\u5b9e\u73b0BMI\u8ba1\u7b97\u5668\u3002\u8981\u6c42\uff1a<\/p>\n<\/blockquote>\n<p>&gt;<\/p>\n<blockquote>\n<p>1. \u4e24\u4e2a\u8f93\u5165\u6846\uff1a\u8eab\u9ad8\uff08\u5398\u7c73\uff09\u548c\u4f53\u91cd\uff08\u516c\u65a4\uff09<\/p>\n<\/blockquote>\n<blockquote>\n<p>2. \u4e00\u4e2a&#8221;\u8ba1\u7b97&#8221;\u6309\u94ae<\/p>\n<\/blockquote>\n<blockquote>\n<p>3. \u70b9\u51fb\u540e\u663e\u793aBMI\u6570\u503c\u548c\u5bf9\u5e94\u7684\u5065\u5eb7\u7b49\u7ea7\uff08\u504f\u7626\/\u6b63\u5e38\/\u504f\u80d6\/\u80a5\u80d6\uff09<\/p>\n<\/blockquote>\n<blockquote>\n<p>4. \u754c\u9762\u8981\u7f8e\u89c2\uff0c\u7528\u5361\u7247\u5f0f\u8bbe\u8ba1\uff0c\u5706\u89d2\uff0c\u67d4\u548c\u7684\u914d\u8272<\/p>\n<\/blockquote>\n<blockquote>\n<p>5. \u7eafHTML+CSS+JavaScript\uff0c\u4e0d\u4f9d\u8d56\u4efb\u4f55\u5916\u90e8\u5e93<\/p>\n<\/blockquote>\n<blockquote>\n<p>6. \u5168\u90e8\u4ee3\u7801\u5199\u5728\u4e00\u4e2aHTML\u6587\u4ef6\u91cc<\/p>\n<\/blockquote>\n<h3>\u62ff\u5230\u4ee3\u7801\u540e<\/h3>\n<p>AI\u4f1a\u751f\u6210\u4e00\u4e2a\u5b8c\u6574\u7684HTML\u6587\u4ef6\u3002\u4f60\u53ef\u4ee5\uff1a<\/p>\n<ol>\n<li>\u6253\u5f00\u7535\u8111\u4e0a\u7684\u8bb0\u4e8b\u672c\uff08\u6216\u4efb\u4f55\u6587\u672c\u7f16\u8f91\u5668\uff09<\/li>\n<li>\u628a\u4ee3\u7801\u7c98\u8d34\u8fdb\u53bb<\/li>\n<li>\u4fdd\u5b58\u4e3a 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\u8fed\u4ee3\u4f18\u5316\u3002<\/strong><\/p>\n<hr>\n<h2>\u5b9e\u64cd\u4e09\uff1a\u8ba9AI\u5e2e\u4f60\u5199\u81ea\u52a8\u5316\u811a\u672c<\/h2>\n<h3>\u573a\u666f\u8bbe\u5b9a<\/h3>\n<p>\u4f60\u7684\u7535\u8111\u91cc\u6709\u4e00\u4e2a\u6587\u4ef6\u5939\uff0c\u91cc\u9762\u5806\u6ee1\u4e86\u5404\u79cd\u6587\u4ef6\u2014\u2014PDF\u3001\u56fe\u7247\u3001Word\u6587\u6863\u3001Excel\u8868\u683c\uff0c\u4e71\u6210\u4e00\u56e2\u3002\u4f60\u60f3\u8ba9AI\u5e2e\u4f60\u5199\u4e00\u4e2a\u811a\u672c\uff0c\u81ea\u52a8\u6309\u6587\u4ef6\u7c7b\u578b\u5206\u7c7b\u6574\u7406\u3002<\/p>\n<h3>\u5411AI\u63cf\u8ff0\u9700\u6c42<\/h3>\n<blockquote>\n<p>\u5e2e\u6211\u5199\u4e00\u4e2aPython\u811a\u672c\uff0c\u529f\u80fd\u662f\u81ea\u52a8\u6574\u7406\u6587\u4ef6\u5939\u3002\u5177\u4f53\u8981\u6c42\uff1a<\/p>\n<\/blockquote>\n<p>&gt;<\/p>\n<blockquote>\n<p>1. \u626b\u63cf\u6307\u5b9a\u6587\u4ef6\u5939\uff08\u901a\u8fc7\u547d\u4ee4\u884c\u53c2\u6570\u4f20\u5165\uff09<\/p>\n<\/blockquote>\n<blockquote>\n<p>2. 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~\/Downloads<\/p>\n<p><code>`<\/code><\/p>\n<p>\u811a\u672c\u4f1a\u81ea\u52a8\u626b\u63cf\u4f60\u7684\u4e0b\u8f7d\u6587\u4ef6\u5939\uff0c\u628a\u51e0\u767e\u4e2a\u4e71\u4e03\u516b\u7cdf\u7684\u6587\u4ef6\u5206\u95e8\u522b\u7c7b\u6574\u7406\u597d\u3002<\/p>\n<blockquote>\n<p><strong>\u5b89\u5168\u63d0\u793a<\/strong>\uff1a\u7b2c\u4e00\u6b21\u8fd0\u884c\u5efa\u8bae\u5148\u7528 <code>--dry-run<\/code> 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