{"id":4067,"date":"2025-10-17T17:25:19","date_gmt":"2025-10-17T09:25:19","guid":{"rendered":"http:\/\/viplao.com\/?p=4067"},"modified":"2025-10-18T11:33:46","modified_gmt":"2025-10-18T03:33:46","slug":"%e3%80%90%e8%bf%90%e8%90%a5%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90-%e5%9f%ba%e7%a1%80%e7%af%87%e3%80%91python%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90%e7%8e%af%e5%a2%83%e6%90%ad%e5%bb%ba%e4%b8%8e%e5%88%9d","status":"publish","type":"post","link":"http:\/\/viplao.com\/index.php\/2025\/10\/17\/%e3%80%90%e8%bf%90%e8%90%a5%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90-%e5%9f%ba%e7%a1%80%e7%af%87%e3%80%91python%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90%e7%8e%af%e5%a2%83%e6%90%ad%e5%bb%ba%e4%b8%8e%e5%88%9d\/","title":{"rendered":"\u3010\u8fd0\u8425\u6570\u636e\u5206\u6790-\u57fa\u7840\u7bc7\u3011Python\u6570\u636e\u5206\u6790\u73af\u5883\u642d\u5efa\u4e0e\u521d\u4f53\u9a8c"},"content":{"rendered":"\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_71 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">\u6587\u7ae0\u76ee\u5f55<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 eztoc-toggle-hide-by-default' ><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"http:\/\/viplao.com\/index.php\/2025\/10\/17\/%e3%80%90%e8%bf%90%e8%90%a5%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90-%e5%9f%ba%e7%a1%80%e7%af%87%e3%80%91python%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90%e7%8e%af%e5%a2%83%e6%90%ad%e5%bb%ba%e4%b8%8e%e5%88%9d\/#%E7%AC%AC%E4%B8%80%E7%AB%A0%EF%BC%9APython%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90%E7%8E%AF%E5%A2%83%E6%90%AD%E5%BB%BA%E4%B8%8E%E5%88%9D%E4%BD%93%E9%AA%8C\" title=\"\u7b2c\u4e00\u7ae0\uff1aPython\u6570\u636e\u5206\u6790\u73af\u5883\u642d\u5efa\u4e0e\u521d\u4f53\u9a8c\">\u7b2c\u4e00\u7ae0\uff1aPython\u6570\u636e\u5206\u6790\u73af\u5883\u642d\u5efa\u4e0e\u521d\u4f53\u9a8c<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"http:\/\/viplao.com\/index.php\/2025\/10\/17\/%e3%80%90%e8%bf%90%e8%90%a5%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90-%e5%9f%ba%e7%a1%80%e7%af%87%e3%80%91python%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90%e7%8e%af%e5%a2%83%e6%90%ad%e5%bb%ba%e4%b8%8e%e5%88%9d\/#12_Python%E7%BC%96%E7%A8%8B%E5%9F%BA%E7%A1%80\" title=\"1.2 Python\u7f16\u7a0b\u57fa\u7840\">1.2 Python\u7f16\u7a0b\u57fa\u7840<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"http:\/\/viplao.com\/index.php\/2025\/10\/17\/%e3%80%90%e8%bf%90%e8%90%a5%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90-%e5%9f%ba%e7%a1%80%e7%af%87%e3%80%91python%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90%e7%8e%af%e5%a2%83%e6%90%ad%e5%bb%ba%e4%b8%8e%e5%88%9d\/#13_%E5%88%9D%E8%AF%86%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90%E5%BA%93%EF%BC%9ANumpy%E4%B8%8EPandas\" title=\"1.3 \u521d\u8bc6\u6570\u636e\u5206\u6790\u5e93\uff1aNumpy\u4e0ePandas\">1.3 \u521d\u8bc6\u6570\u636e\u5206\u6790\u5e93\uff1aNumpy\u4e0ePandas<\/a><\/li><\/ul><\/nav><\/div>\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"%E7%AC%AC%E4%B8%80%E7%AB%A0%EF%BC%9APython%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90%E7%8E%AF%E5%A2%83%E6%90%AD%E5%BB%BA%E4%B8%8E%E5%88%9D%E4%BD%93%E9%AA%8C\"><\/span><strong>\u7b2c\u4e00\u7ae0\uff1aPython\u6570\u636e\u5206\u6790\u73af\u5883\u642d\u5efa\u4e0e\u521d\u4f53\u9a8c<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p><strong>\u3010\u7406\u8bba\u8bb2\u89e3\u3011<\/strong><\/p>\n\n\n\n<p>\u6b22\u8fce\u6765\u5230Python\u6570\u636e\u5206\u6790\u7684\u4e16\u754c\uff01\u5728\u5f00\u59cb\u4e4b\u524d\uff0c\u6211\u4eec\u9700\u8981\u642d\u5efa\u4e00\u4e2a\u5de5\u4f5c\u53f0\uff0c\u4e5f\u5c31\u662f\u5b89\u88c5Python\u548c\u4e00\u4e9b\u5fc5\u8981\u7684\u5de5\u5177\u3002<\/p>\n\n\n\n<ul>\n<li><strong>Python\u662f\u4ec0\u4e48\uff1f<\/strong>&nbsp;Python\u662f\u4e00\u79cd\u7b80\u6d01\u3001\u5f3a\u5927\u7684\u7f16\u7a0b\u8bed\u8a00\uff0c\u975e\u5e38\u9002\u5408\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u3002<\/li>\n\n\n\n<li><strong>\u4e3a\u4ec0\u4e48\u7528Anaconda\uff1f<\/strong>&nbsp;Anaconda\u662f\u4e00\u4e2a\u65b9\u4fbf\u7684\u6570\u636e\u79d1\u5b66\u5e73\u53f0\uff0c\u5b83\u96c6\u6210\u4e86Python\u89e3\u91ca\u5668\u3001\u5e38\u7528\u7684\u6570\u636e\u5206\u6790\u5e93\uff08\u5982Numpy, Pandas\uff09\u4ee5\u53ca\u50cfJupyter Notebook\u8fd9\u6837\u7684\u4ea4\u4e92\u5f0f\u5f00\u53d1\u73af\u5883\u3002\u5b83\u80fd\u5e2e\u4f60\u7701\u53bb\u5f88\u591a\u9ebb\u70e6\u7684\u5b89\u88c5\u6b65\u9aa4\u3002<\/li>\n\n\n\n<li><strong>Jupyter Notebook\/Lab\u662f\u4ec0\u4e48\uff1f<\/strong>&nbsp;\u5b83\u4eec\u5c31\u50cf\u4e00\u672c\u4ea4\u4e92\u5f0f\u7684\u7b14\u8bb0\u672c\uff0c\u4f60\u53ef\u4ee5\u5728\u91cc\u9762\u5199\u4ee3\u7801\u3001\u8fd0\u884c\u4ee3\u7801\u3001\u67e5\u770b\u7ed3\u679c\uff0c\u8fd8\u53ef\u4ee5\u6dfb\u52a0\u6587\u5b57\u8bf4\u660e\u548c\u56fe\u7247\uff0c\u975e\u5e38\u9002\u5408\u6211\u4eec\u5b66\u4e60\u548c\u505a\u6570\u636e\u5206\u6790\u62a5\u544a\u3002 <\/li>\n<\/ul>\n\n\n\n<p><strong>\u3010\u64cd\u4f5c\u5b9e\u8df5\u3011<\/strong><\/p>\n\n\n\n<ol>\n<li><strong>Python\u7248\u672c\u9009\u62e9\u4e0e\u5b89\u88c5\uff1a<\/strong>\n<ul>\n<li>\u63a8\u8350\u5b89\u88c5Python 3.8+ \u7248\u672c\u3002<\/li>\n\n\n\n<li>\u8bbf\u95ee&nbsp;<a href=\"https:\/\/www.anaconda.com\/products\/individual\" target=\"_blank\" rel=\"noreferrer noopener\">Anaconda\u5b98\u7f51<\/a>&nbsp;\u4e0b\u8f7d\u5e76\u5b89\u88c5\u9002\u5408\u4f60\u64cd\u4f5c\u7cfb\u7edf\u7684Anaconda Distribution\u3002\u5b89\u88c5\u8fc7\u7a0b\u4e2d\uff0c\u8bf7\u52fe\u9009\u201cAdd Anaconda to my PATH environment variable\u201d\u9009\u9879\uff08\u5982\u679c\u63d0\u793a\uff09\u3002<\/li>\n\n\n\n<li>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u6253\u5f00\u547d\u4ee4\u884c\u5de5\u5177\uff08Windows\u7528\u6237\u641c\u7d22\u201cAnaconda Prompt\u201d\uff0cMac\/Linux\u7528\u6237\u6253\u5f00\u7ec8\u7aef\uff09\uff0c\u8f93\u5165&nbsp;<code>python --version<\/code>&nbsp;\u68c0\u67e5Python\u662f\u5426\u5b89\u88c5\u6210\u529f\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Anaconda\u73af\u5883\u7ba1\u7406\uff08\u53ef\u9009\u4f46\u63a8\u8350\uff09\uff1a<\/strong>\n<ul>\n<li>\u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u865a\u62df\u73af\u5883\uff0c\u907f\u514d\u4e0d\u540c\u9879\u76ee\u4e4b\u95f4\u7684\u5e93\u51b2\u7a81\uff1abash<code>conda create -n my_ecommerce_env python=3.9<\/code><\/li>\n\n\n\n<li>\u6fc0\u6d3b\u73af\u5883\uff1abash<code>conda activate my_ecommerce_env<\/code><\/li>\n\n\n\n<li>\u9000\u51fa\u73af\u5883\uff1abash<code>conda deactivate<\/code><\/li>\n\n\n\n<li>\uff08\u540e\u7eed\u8bfe\u7a0b\u6211\u4eec\u5c06\u5728&nbsp;<code>my_ecommerce_env<\/code>&nbsp;\u73af\u5883\u4e2d\u8fdb\u884c\uff09<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Jupyter Notebook\/Lab\u7684\u4f7f\u7528\uff1a<\/strong>\n<ul>\n<li>\u5728\u6fc0\u6d3b\u7684\u73af\u5883\u4e0b\uff0c\u8f93\u5165&nbsp;<code>jupyter notebook<\/code>&nbsp;\u6216&nbsp;<code>jupyter lab<\/code>&nbsp;\u5373\u53ef\u5728\u6d4f\u89c8\u5668\u4e2d\u6253\u5f00\u5de5\u4f5c\u754c\u9762\u3002<\/li>\n\n\n\n<li>\u65b0\u5efa\u4e00\u4e2aPython\u6587\u4ef6\uff08.ipynb\uff09\uff0c\u5728\u5355\u5143\u683c\u4e2d\u5c1d\u8bd5\u8f93\u5165&nbsp;<code>print(\"Hello, Data Analysis!\")<\/code>&nbsp;\u5e76\u8fd0\u884c\uff08Shift + Enter\uff09\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<p><strong>\u3010\u4e92\u52a8\u95ee\u7b54\u3011<\/strong><\/p>\n\n\n\n<ul>\n<li>\u5b66\u5458\u5728\u5b89\u88c5\u8fc7\u7a0b\u4e2d\u9047\u5230\u7684\u95ee\u9898\u3002<\/li>\n\n\n\n<li>Anaconda\u865a\u62df\u73af\u5883\u7684\u4f5c\u7528\u662f\u4ec0\u4e48\uff1f<\/li>\n\n\n\n<li>Jupyter Notebook\u548c\u666e\u901aPython\u811a\u672c\u6709\u4ec0\u4e48\u533a\u522b\uff1f<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"12_Python%E7%BC%96%E7%A8%8B%E5%9F%BA%E7%A1%80\"><\/span><strong>1.2 Python\u7f16\u7a0b\u57fa\u7840<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p><strong>\u3010\u7406\u8bba\u8bb2\u89e3\u3011<\/strong><\/p>\n\n\n\n<p>\u5728\u5f00\u59cb\u6570\u636e\u5206\u6790\u4e4b\u524d\uff0c\u6211\u4eec\u9700\u8981\u638c\u63e1\u4e00\u4e9bPython\u7f16\u7a0b\u7684\u57fa\u672c\u201c\u8bcd\u6c47\u201d\u548c\u201c\u8bed\u6cd5\u201d\u3002\u8fd9\u4e9b\u662f\u6784\u5efa\u4efb\u4f55\u7a0b\u5e8f\u7684\u57fa\u77f3\u3002<\/p>\n\n\n\n<ul>\n<li><strong>\u53d8\u91cf\uff1a<\/strong>&nbsp;\u5b58\u50a8\u6570\u636e\u7684\u201c\u76d2\u5b50\u201d\uff0c\u7ed9\u6570\u636e\u8d77\u4e2a\u540d\u5b57\u3002<\/li>\n\n\n\n<li><strong>\u6570\u636e\u7c7b\u578b\uff1a<\/strong>&nbsp;\u544a\u8bc9Python\u8fd9\u4e2a\u76d2\u5b50\u91cc\u9762\u88c5\u7684\u662f\u4ec0\u4e48\u7c7b\u578b\u7684\u6570\u636e\uff08\u6570\u5b57\u3001\u6587\u5b57\u3001\u771f\u5047\u7b49\uff09\u3002<\/li>\n\n\n\n<li><strong>\u6570\u636e\u7ed3\u6784\uff1a<\/strong>&nbsp;\u5982\u4f55\u7ec4\u7ec7\u548c\u5b58\u50a8\u591a\u4e2a\u6570\u636e\uff0c\u6bd4\u5982\u5217\u8868\uff08\u6709\u5e8f\u53ef\u53d8\uff09\u3001\u5143\u7ec4\uff08\u6709\u5e8f\u4e0d\u53ef\u53d8\uff09\u3001\u5b57\u5178\uff08\u952e\u503c\u5bf9\uff09\u3001\u96c6\u5408\uff08\u65e0\u5e8f\u4e0d\u91cd\u590d\uff09\u3002<\/li>\n\n\n\n<li><strong>\u6761\u4ef6\u8bed\u53e5\uff1a<\/strong>&nbsp;\u8ba9\u7a0b\u5e8f\u6839\u636e\u4e0d\u540c\u60c5\u51b5\u505a\u51fa\u4e0d\u540c\u9009\u62e9\uff08\u5982\u679c\u2026\u5c31\u2026\uff0c\u5426\u5219\u2026\uff09\u3002<\/li>\n\n\n\n<li><strong>\u5faa\u73af\u8bed\u53e5\uff1a<\/strong>&nbsp;\u8ba9\u7a0b\u5e8f\u91cd\u590d\u6267\u884c\u67d0\u4e2a\u4efb\u52a1\u591a\u6b21\u3002<\/li>\n\n\n\n<li><strong>\u51fd\u6570\uff1a<\/strong>&nbsp;\u628a\u4e00\u6bb5\u4ee3\u7801\u5c01\u88c5\u8d77\u6765\uff0c\u53ef\u4ee5\u91cd\u590d\u4f7f\u7528\uff0c\u63d0\u9ad8\u6548\u7387\u3002<\/li>\n<\/ul>\n\n\n\n<p><strong>\u3010\u4ee3\u7801\u5b9e\u4f8b\u4e0e\u7535\u5546\u573a\u666f\u6848\u4f8b\u3011<\/strong><\/p>\n\n\n\n<p>\u6211\u4eec\u7528\u4e00\u4e2a\u7535\u5546\u8ba2\u5355\u7684\u4f8b\u5b50\u6765\u7406\u89e3\u8fd9\u4e9b\u6982\u5ff5\u3002<\/p>\n\n\n\n<p>python<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code># 1. \u53d8\u91cf\u548c\u6570\u636e\u7c7b\u578b\n# \u7535\u5546\u573a\u666f\uff1a\u8bb0\u5f55\u4e00\u4e2a\u5546\u54c1\u7684\u8ba2\u5355\u4fe1\u606f\n\norder_id = \"EC2023001\"  # \u5b57\u7b26\u4e32\uff1a\u8ba2\u5355\u7f16\u53f7\nproduct_name = \"\u667a\u80fd\u84dd\u7259\u8033\u673a\" # \u5b57\u7b26\u4e32\uff1a\u5546\u54c1\u540d\u79f0\nprice = 199.99          # \u6d6e\u70b9\u578b\uff1a\u5546\u54c1\u5355\u4ef7\nquantity = 2            # \u6574\u578b\uff1a\u8d2d\u4e70\u6570\u91cf\nis_vip_customer = True  # \u5e03\u5c14\u578b\uff1a\u662f\u5426\u4e3aVIP\u5ba2\u6237\n\nprint(f\"\u8ba2\u5355ID: {order_id}\")\nprint(f\"\u5546\u54c1\u540d\u79f0: {product_name}\")\nprint(f\"\u5355\u4ef7: {price} \u5143\")\nprint(f\"\u6570\u91cf: {quantity} \u4e2a\")\nprint(f\"VIP\u5ba2\u6237: {is_vip_customer}\")\nprint(f\"\u603b\u91d1\u989d: {price * quantity} \u5143\")\n\n# 2. \u5217\u8868 (List) - \u6709\u5e8f\u3001\u53ef\u53d8\uff0c\u9002\u5408\u5b58\u50a8\u4e00\u7cfb\u5217\u5546\u54c1\u540d\u79f0\n# \u7535\u5546\u573a\u666f\uff1a\u4e00\u4e2a\u8ba2\u5355\u4e2d\u7684\u591a\u4e2a\u5546\u54c1\n\nproducts_in_order = &#91;\"\u667a\u80fd\u84dd\u7259\u8033\u673a\", \"\u624b\u673a\u58f3\", \"\u5c4f\u5e55\u4fdd\u62a4\u819c\"]\nprint(f\"\\n\u8ba2\u5355\u4e2d\u7684\u5546\u54c1\u5217\u8868: {products_in_order}\")\nprint(f\"\u7b2c\u4e00\u4e2a\u5546\u54c1: {products_in_order&#91;0]}\") # \u7d22\u5f15\u4ece0\u5f00\u59cb\nproducts_in_order.append(\"\u5145\u7535\u5b9d\") # \u6dfb\u52a0\u65b0\u5546\u54c1\nprint(f\"\u6dfb\u52a0\u5145\u7535\u5b9d\u540e: {products_in_order}\")\n\n# 3. \u5143\u7ec4 (Tuple) - \u6709\u5e8f\u3001\u4e0d\u53ef\u53d8\uff0c\u9002\u5408\u5b58\u50a8\u56fa\u5b9a\u4e0d\u53d8\u7684\u5546\u54c1\u5c5e\u6027\n# \u7535\u5546\u573a\u666f\uff1a\u4e00\u4e2a\u5546\u54c1\u7684\u56fa\u5b9aSKU\u4fe1\u606f\uff08SKU\uff0cStock Keeping Unit\uff0c\u5e93\u5b58\u91cf\u5355\u4f4d\uff09\n\nproduct_sku_info = (\"\u84dd\u7259\u8033\u673a\", \"\u9ed1\u8272\", \"\u6807\u51c6\u7248\")\nprint(f\"\\n\u5546\u54c1SKU\u4fe1\u606f: {product_sku_info}\")\n# product_sku_info.append(\"\u767d\u8272\") # \u8fd9\u884c\u4ee3\u7801\u4f1a\u62a5\u9519\uff0c\u56e0\u4e3a\u5143\u7ec4\u4e0d\u53ef\u53d8\n\n# 4. \u5b57\u5178 (Dictionary) - \u952e\u503c\u5bf9\uff0c\u9002\u5408\u5b58\u50a8\u6709\u5bf9\u5e94\u5173\u7cfb\u7684\u6570\u636e\n# \u7535\u5546\u573a\u666f\uff1a\u4e00\u4e2a\u5546\u54c1\u7684\u8be6\u7ec6\u5c5e\u6027\n\nproduct_details = {\n    \"product_id\": \"P001\",\n    \"name\": \"\u667a\u80fd\u84dd\u7259\u8033\u673a\",\n    \"category\": \"\u6570\u7801\u4ea7\u54c1\",\n    \"brand\": \"TechSound\",\n    \"price\": 199.99,\n    \"stock\": 150\n}\nprint(f\"\\n\u5546\u54c1\u8be6\u60c5: {product_details}\")\nprint(f\"\u5546\u54c1\u54c1\u724c: {product_details&#91;'brand']}\")\nproduct_details&#91;'stock'] -= 1 # \u66f4\u65b0\u5e93\u5b58\nprint(f\"\u66f4\u65b0\u5e93\u5b58\u540e: {product_details&#91;'stock']}\")\n\n# 5. \u96c6\u5408 (Set) - \u65e0\u5e8f\u3001\u4e0d\u91cd\u590d\uff0c\u9002\u5408\u5b58\u50a8\u4e0d\u91cd\u590d\u7684\u5546\u54c1\u6807\u7b7e\u6216\u7528\u6237ID\n# \u7535\u5546\u573a\u666f\uff1a\u67d0\u4e2a\u4fc3\u9500\u6d3b\u52a8\u4e2d\u53c2\u4e0e\u7684\u552f\u4e00\u7528\u6237ID\n\ncampaign_users_ids = {\"user_001\", \"user_003\", \"user_005\", \"user_001\"} # user_001\u53ea\u4f1a\u51fa\u73b0\u4e00\u6b21\nprint(f\"\\n\u53c2\u4e0e\u6d3b\u52a8\u7684\u7528\u6237ID\u96c6\u5408: {campaign_users_ids}\")\n\n# 6. \u6761\u4ef6\u8bed\u53e5 (If\/Else)\n# \u7535\u5546\u573a\u666f\uff1a\u6839\u636e\u8ba2\u5355\u603b\u91d1\u989d\u5224\u65ad\u662f\u5426\u5305\u90ae\n\ntotal_amount = 250.0\nshipping_fee = 10.0\n\nif total_amount &gt;= 100:\n    print(f\"\\n\u8ba2\u5355\u603b\u91d1\u989d {total_amount} \u5143\uff0c\u6ee1\u8db3\u5305\u90ae\u6761\u4ef6\uff01\")\n    shipping_fee = 0\nelse:\n    print(f\"\\n\u8ba2\u5355\u603b\u91d1\u989d {total_amount} \u5143\uff0c\u9700\u8981\u652f\u4ed8\u8fd0\u8d39 {shipping_fee} \u5143\u3002\")\n\nprint(f\"\u6700\u7ec8\u8fd0\u8d39: {shipping_fee} \u5143\")\n\n# 7. \u5faa\u73af\u8bed\u53e5 (For Loop)\n# \u7535\u5546\u573a\u666f\uff1a\u8ba1\u7b97\u8d2d\u7269\u8f66\u4e2d\u6240\u6709\u5546\u54c1\u7684\u603b\u4ef7\n\ncart_items = &#91;\n    {\"name\": \"\u667a\u80fd\u84dd\u7259\u8033\u673a\", \"price\": 199.99, \"quantity\": 1},\n    {\"name\": \"\u624b\u673a\u58f3\", \"price\": 39.9, \"quantity\": 2},\n    {\"name\": \"\u5145\u7535\u7ebf\", \"price\": 25.0, \"quantity\": 3}\n]\n\ntotal_cart_price = 0\nprint(\"\\n\u8d2d\u7269\u8f66\u5546\u54c1\u660e\u7ec6\uff1a\")\nfor item in cart_items:\n    item_total = item&#91;'price'] * item&#91;'quantity']\n    print(f\" - {item&#91;'name']}: {item&#91;'price']} x {item&#91;'quantity']} = {item_total:.2f} \u5143\")\n    total_cart_price += item_total\n\nprint(f\"\u8d2d\u7269\u8f66\u603b\u4ef7: {total_cart_price:.2f} \u5143\")\n\n# 8. \u51fd\u6570 (Function)\n# \u7535\u5546\u573a\u666f\uff1a\u5c01\u88c5\u4e00\u4e2a\u8ba1\u7b97\u8ba2\u5355\u6298\u6263\u7684\u51fd\u6570\n\ndef calculate_discounted_price(original_price, discount_rate):\n    \"\"\"\n    \u6839\u636e\u539f\u4ef7\u548c\u6298\u6263\u7387\u8ba1\u7b97\u6298\u540e\u4ef7\u3002\n    original_price: \u5546\u54c1\u539f\u4ef7\n    discount_rate: \u6298\u6263\u7387 (0\u52301\u4e4b\u95f4\uff0c\u4f8b\u59820.8\u8868\u793a\u516b\u6298)\n    \"\"\"\n    if not (0 &lt;= discount_rate &lt;= 1):\n        print(\"\u6298\u6263\u7387\u5fc5\u987b\u57280\u52301\u4e4b\u95f4\uff01\")\n        return original_price\n    discounted_price = original_price * discount_rate\n    return discounted_price\n\nproduct_original_price = 200.0\nproduct_discount_rate = 0.75 # \u4e03\u4e94\u6298\n\nfinal_price = calculate_discounted_price(product_original_price, product_discount_rate)\nprint(f\"\\n\u539f\u4ef7 {product_original_price} \u5143\uff0c\u6253 {product_discount_rate*100:.0f} \u6298\u540e\uff0c\u6700\u7ec8\u4ef7\u683c: {final_price:.2f} \u5143\")\n\n# \u5c1d\u8bd5\u9519\u8bef\u6298\u6263\u7387\nfinal_price_error = calculate_discounted_price(100, 1.2)<\/code><\/pre>\n\n\n\n<p><strong>\u3010\u4e92\u52a8\u95ee\u7b54\u3011<\/strong><\/p>\n\n\n\n<ul>\n<li>\u53d8\u91cf\u547d\u540d\u6709\u4ec0\u4e48\u89c4\u5219\u548c\u5efa\u8bae\uff1f<\/li>\n\n\n\n<li>\u5217\u8868\u548c\u5143\u7ec4\u6709\u4ec0\u4e48\u4e3b\u8981\u533a\u522b\uff1f\u4ec0\u4e48\u65f6\u5019\u7528\u5217\u8868\uff0c\u4ec0\u4e48\u65f6\u5019\u7528\u5143\u7ec4\uff1f<\/li>\n\n\n\n<li>\u5b57\u5178\u7684\u201c\u952e\u201d\u548c\u201c\u503c\u201d\u6709\u4ec0\u4e48\u7279\u70b9\uff1f<\/li>\n\n\n\n<li><code>for<\/code>&nbsp;\u5faa\u73af\u548c&nbsp;<code>if<\/code>&nbsp;\u8bed\u53e5\u5728\u7535\u5546\u6570\u636e\u5206\u6790\u4e2d\u8fd8\u6709\u54ea\u4e9b\u5e94\u7528\u573a\u666f\uff1f<\/li>\n\n\n\n<li>\u5982\u4f55\u5b9a\u4e49\u4e00\u4e2a\u51fd\u6570\u6765\u8ba1\u7b97\u7528\u6237\u5728\u67d0\u4e2a\u65f6\u95f4\u6bb5\u5185\u7684\u603b\u6d88\u8d39\u91d1\u989d\uff1f<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"13_%E5%88%9D%E8%AF%86%E6%95%B0%E6%8D%AE%E5%88%86%E6%9E%90%E5%BA%93%EF%BC%9ANumpy%E4%B8%8EPandas\"><\/span><strong>1.3 \u521d\u8bc6\u6570\u636e\u5206\u6790\u5e93\uff1aNumpy\u4e0ePandas<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p><strong>\u3010\u7406\u8bba\u8bb2\u89e3\u3011<\/strong><\/p>\n\n\n\n<p>\u73b0\u5728\u6211\u4eec\u6709\u4e86Python\u7f16\u7a0b\u7684\u57fa\u7840\uff0c\u662f\u65f6\u5019\u4ecb\u7ecd\u4e24\u4e2a\u6570\u636e\u5206\u6790\u7684\u201c\u745e\u58eb\u519b\u5200\u201d\u4e86\uff1a<strong>Numpy<\/strong>&nbsp;\u548c&nbsp;<strong>Pandas<\/strong>\u3002<\/p>\n\n\n\n<ul>\n<li><strong>Numpy\uff1a<\/strong>&nbsp;\u4e13\u95e8\u5904\u7406\u6570\u503c\u8ba1\u7b97\u7684\u5e93\uff0c\u5b83\u63d0\u4f9b\u4e86\u9ad8\u6027\u80fd\u7684\u591a\u7ef4\u6570\u7ec4\u5bf9\u8c61\uff08ndarray\uff09\uff0c\u6bd4Python\u81ea\u5e26\u7684\u5217\u8868\u5728\u5904\u7406\u5927\u91cf\u6570\u5b57\u65f6\u5feb\u5f97\u591a\u3002\u5b83\u662f\u8bb8\u591a\u79d1\u5b66\u8ba1\u7b97\u5e93\u7684\u57fa\u7840\u3002<\/li>\n\n\n\n<li><strong>Pandas\uff1a<\/strong>&nbsp;\u6784\u5efa\u5728Numpy\u4e4b\u4e0a\uff0c\u662fPython\u6570\u636e\u5206\u6790\u7684\u6838\u5fc3\u5e93\u3002\u5b83\u63d0\u4f9b\u4e86\u4e24\u79cd\u4e3b\u8981\u7684\u6570\u636e\u7ed3\u6784\uff1a\n<ul>\n<li><strong>Series\uff1a<\/strong>&nbsp;\u4e00\u7ef4\u5e26\u6807\u7b7e\u7684\u6570\u7ec4\uff0c\u53ef\u4ee5\u770b\u4f5c\u5e26\u7d22\u5f15\u7684\u5217\u8868\u3002<\/li>\n\n\n\n<li><strong>DataFrame\uff1a<\/strong>&nbsp;\u4e8c\u7ef4\u5e26\u6807\u7b7e\u7684\u8868\u683c\u6570\u636e\u7ed3\u6784\uff0c\u53ef\u4ee5\u770b\u4f5c\u662fExcel\u8868\u683c\u6216\u6570\u636e\u5e93\u4e2d\u7684\u8868\uff0c\u6709\u884c\u548c\u5217\u7684\u7d22\u5f15\u3002\u5b83\u662f\u6211\u4eec\u5904\u7406\u7535\u5546\u6570\u636e\u7684\u4e3b\u8981\u5de5\u5177\u3002<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>\u6570\u636e\u5bfc\u5165\u5bfc\u51fa\uff1a<\/strong>&nbsp;\u5b66\u4e60\u5982\u4f55\u5c06\u5916\u90e8\u6570\u636e\uff08\u5982CSV\u3001Excel\u6587\u4ef6\uff09\u8bfb\u5165Pandas DataFrame\uff0c\u4ee5\u53ca\u5982\u4f55\u5c06\u5904\u7406\u540e\u7684\u6570\u636e\u4fdd\u5b58\u51fa\u53bb\u3002<\/li>\n<\/ul>\n\n\n\n<p><strong>\u3010\u4ee3\u7801\u5b9e\u4f8b\u4e0e\u7535\u5546\u573a\u666f\u6848\u4f8b\u3011<\/strong><\/p>\n\n\n\n<p>\u6211\u4eec\u5c06\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684\u7535\u5546\u9500\u552e\u6570\u636e\uff0c\u5e76\u7528Numpy\u548cPandas\u8fdb\u884c\u521d\u6b65\u64cd\u4f5c\u3002<\/p>\n\n\n\n<p>python<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>import numpy as np\nimport pandas as pd\n\n# 1. Numpy \u6570\u7ec4 (ndarray)\n# \u7535\u5546\u573a\u666f\uff1a\u5b58\u50a8\u4e00\u6279\u5546\u54c1\u7684\u9500\u552e\u4ef7\u683c\uff0c\u8fdb\u884c\u5feb\u901f\u6570\u5b66\u8fd0\u7b97\n\n# \u521b\u5efa\u4e00\u4e2aNumpy\u6570\u7ec4\nsales_prices = np.array(&#91;120.5, 85.0, 299.9, 50.0, 150.2])\nprint(\"\u5546\u54c1\u9500\u552e\u4ef7\u683c (Numpy\u6570\u7ec4):\", sales_prices)\n\n# \u5feb\u901f\u8ba1\u7b97\u7edf\u8ba1\u91cf\nprint(\"\u5e73\u5747\u4ef7\u683c:\", sales_prices.mean())\nprint(\"\u6700\u9ad8\u4ef7\u683c:\", sales_prices.max())\nprint(\"\u6700\u4f4e\u4ef7\u683c:\", sales_prices.min())\nprint(\"\u4ef7\u683c\u603b\u548c:\", sales_prices.sum())\n\n# \u5bf9\u6240\u6709\u4ef7\u683c\u6253\u516b\u6298\ndiscounted_prices = sales_prices * 0.8\nprint(\"\u6253\u516b\u6298\u540e\u7684\u4ef7\u683c:\", discounted_prices)\n\n# 2. Pandas Series\n# \u7535\u5546\u573a\u666f\uff1a\u8bb0\u5f55\u67d0\u4e2a\u5546\u54c1\u7684\u6bcf\u65e5\u9500\u552e\u989d\n\ndaily_sales_amount = pd.Series(&#91;1200, 1500, 1350, 1600, 1480],\n                               index=&#91;'2023-01-01', '2023-01-02', '2023-01-03', '2023-01-04', '2023-01-05'],\n                               name='\u6bcf\u65e5\u9500\u552e\u989d')\nprint(\"\\n\u6bcf\u65e5\u9500\u552e\u989d (Pandas Series):\\n\", daily_sales_amount)\nprint(\"1\u67083\u65e5\u7684\u9500\u552e\u989d:\", daily_sales_amount&#91;'2023-01-03'])\n\n# 3. Pandas DataFrame\n# \u7535\u5546\u573a\u666f\uff1a\u4e00\u4e2a\u5305\u542b\u8ba2\u5355ID\u3001\u5546\u54c1\u540d\u79f0\u3001\u91d1\u989d\u3001\u6570\u91cf\u7684\u9500\u552e\u8868\u683c\n\n# \u521b\u5efa\u4e00\u4e2a\u5b57\u5178\uff0c\u5305\u542b\u591a\u5217\u6570\u636e\ndata = {\n    '\u8ba2\u5355ID': &#91;'ORD001', 'ORD002', 'ORD003', 'ORD004', 'ORD005'],\n    '\u5546\u54c1\u540d\u79f0': &#91;'T\u6064', '\u725b\u4ed4\u88e4', '\u8fd0\u52a8\u978b', 'T\u6064', '\u5e3d\u5b50'],\n    '\u8d2d\u4e70\u6570\u91cf': &#91;2, 1, 1, 3, 1],\n    '\u5355\u4ef7': &#91;59.9, 129.0, 399.0, 59.9, 49.0],\n    '\u7528\u6237ID': &#91;'U001', 'U002', 'U001', 'U003', 'U002']\n}\ndf_sales = pd.DataFrame(data)\nprint(\"\\n\u7535\u5546\u9500\u552e\u6570\u636e (Pandas DataFrame):\\n\", df_sales)\n\n# \u8ba1\u7b97\u603b\u91d1\u989d\ndf_sales&#91;'\u603b\u91d1\u989d'] = df_sales&#91;'\u8d2d\u4e70\u6570\u91cf'] * df_sales&#91;'\u5355\u4ef7']\nprint(\"\\n\u6dfb\u52a0\u603b\u91d1\u989d\u5217:\\n\", df_sales)\n\n# 4. \u6570\u636e\u5bfc\u5165\u5bfc\u51fa (\u6a21\u62df\u6587\u4ef6\u64cd\u4f5c)\n# \u5047\u8bbe\u6211\u4eec\u6709\u4e00\u4e2a sales_data.csv \u6587\u4ef6\uff0c\u5185\u5bb9\u5982\u4e0b\uff1a\n# \u8ba2\u5355ID,\u5546\u54c1\u540d\u79f0,\u8d2d\u4e70\u6570\u91cf,\u5355\u4ef7,\u7528\u6237ID\n# ORD001,T\u6064,2,59.9,U001\n# ORD002,\u725b\u4ed4\u88e4,1,129.0,U002\n# ORD003,\u8fd0\u52a8\u978b,1,399.0,U001\n# ORD004,T\u6064,3,59.9,U003\n# ORD005,\u5e3d\u5b50,1,49.0,U002\n\n# \u6a21\u62df\u521b\u5efa CSV \u6587\u4ef6\ndf_sales.to_csv('sales_data.csv', index=False)\nprint(\"\\n'sales_data.csv' \u6587\u4ef6\u5df2\u521b\u5efa\u3002\")\n\n# \u4ece CSV \u6587\u4ef6\u8bfb\u53d6\u6570\u636e\ndf_loaded_sales = pd.read_csv('sales_data.csv')\nprint(\"\\n\u4eceCSV\u6587\u4ef6\u52a0\u8f7d\u7684\u6570\u636e:\\n\", df_loaded_sales)\n\n# \u6a21\u62df\u521b\u5efa Excel \u6587\u4ef6\ndf_sales.to_excel('sales_data.xlsx', index=False)\nprint(\"\\n'sales_data.xlsx' \u6587\u4ef6\u5df2\u521b\u5efa\u3002\")\n\n# \u4ece Excel \u6587\u4ef6\u8bfb\u53d6\u6570\u636e\ndf_excel_sales = pd.read_excel('sales_data.xlsx')\nprint(\"\\n\u4eceExcel\u6587\u4ef6\u52a0\u8f7d\u7684\u6570\u636e:\\n\", df_excel_sales)<\/code><\/pre>\n\n\n\n<p><strong>\u3010\u4e92\u52a8\u95ee\u7b54\u3011<\/strong><\/p>\n\n\n\n<ul>\n<li>Numpy\u6570\u7ec4\u548cPython\u5217\u8868\u5728\u5904\u7406\u5927\u91cf\u6570\u5b57\u65f6\u6709\u4ec0\u4e48\u6027\u80fd\u5dee\u5f02\uff1f<\/li>\n\n\n\n<li>Pandas Series\u548cDataFrame\u5206\u522b\u9002\u7528\u4e8e\u4ec0\u4e48\u7c7b\u578b\u7684\u6570\u636e\uff1f<\/li>\n\n\n\n<li>\u5728\u7535\u5546\u6570\u636e\u5206\u6790\u4e2d\uff0c\u4f60\u89c9\u5f97\u54ea\u4e9b\u6570\u636e\u4f1a\u4ee5Series\u5f62\u5f0f\u51fa\u73b0\uff1f\u54ea\u4e9b\u4f1a\u4ee5DataFrame\u5f62\u5f0f\u51fa\u73b0\uff1f<\/li>\n\n\n\n<li><code>index=False<\/code>&nbsp;\u5728&nbsp;<code>to_csv()<\/code>&nbsp;\u6216&nbsp;<code>to_excel()<\/code>&nbsp;\u4e2d\u6709\u4ec0\u4e48\u4f5c\u7528\uff1f<\/li>\n\n\n\n<li>\u5982\u4f55\u8bfb\u53d6\u4e00\u4e2a\u5305\u542b\u4e2d\u6587\u7684CSV\u6587\u4ef6\u800c\u4e0d\u51fa\u73b0\u4e71\u7801\uff1f\uff08\u63d0\u793a\uff1a<code>encoding<\/code>&nbsp;\u53c2\u6570\uff09<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>\u7b2c\u4e00\u7ae0\uff1aPython\u6570\u636e\u5206\u6790\u73af\u5883\u642d\u5efa\u4e0e\u521d\u4f53\u9a8c \u3010\u7406\u8bba\u8bb2\u89e3\u3011 \u6b22\u8fce\u6765\u5230Python\u6570\u636e\u5206\u6790\u7684\u4e16\u754c\uff01\u5728\u5f00&hellip; <a href=\"http:\/\/viplao.com\/index.php\/2025\/10\/17\/%e3%80%90%e8%bf%90%e8%90%a5%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90-%e5%9f%ba%e7%a1%80%e7%af%87%e3%80%91python%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90%e7%8e%af%e5%a2%83%e6%90%ad%e5%bb%ba%e4%b8%8e%e5%88%9d\/\" class=\"more-link read-more\" rel=\"bookmark\">\u7ee7\u7eed\u9605\u8bfb <span class=\"screen-reader-text\">\u3010\u8fd0\u8425\u6570\u636e\u5206\u6790-\u57fa\u7840\u7bc7\u3011Python\u6570\u636e\u5206\u6790\u73af\u5883\u642d\u5efa\u4e0e\u521d\u4f53\u9a8c<\/span><i class=\"fa fa-arrow-right\"><\/i><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[28],"views":527,"_links":{"self":[{"href":"http:\/\/viplao.com\/index.php\/wp-json\/wp\/v2\/posts\/4067"}],"collection":[{"href":"http:\/\/viplao.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/viplao.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/viplao.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/viplao.com\/index.php\/wp-json\/wp\/v2\/comments?post=4067"}],"version-history":[{"count":5,"href":"http:\/\/viplao.com\/index.php\/wp-json\/wp\/v2\/posts\/4067\/revisions"}],"predecessor-version":[{"id":4096,"href":"http:\/\/viplao.com\/index.php\/wp-json\/wp\/v2\/posts\/4067\/revisions\/4096"}],"wp:attachment":[{"href":"http:\/\/viplao.com\/index.php\/wp-json\/wp\/v2\/media?parent=4067"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/viplao.com\/index.php\/wp-json\/wp\/v2\/categories?post=4067"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/viplao.com\/index.php\/wp-json\/wp\/v2\/tags?post=4067"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}