{"id":951593,"date":"2024-12-27T01:05:42","date_gmt":"2024-12-26T17:05:42","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/951593.html"},"modified":"2024-12-27T01:05:44","modified_gmt":"2024-12-26T17:05:44","slug":"%e5%a6%82%e4%bd%95%e7%94%a8python%e5%bc%80%e5%8f%91","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/951593.html","title":{"rendered":"\u5982\u4f55\u7528python\u5f00\u53d1"},"content":{"rendered":"

\"\u5982\u4f55\u7528python\u5f00\u53d1\"<\/p>\n

\u5b66\u4e60Python\u57fa\u7840\u3001\u9009\u62e9\u5f00\u53d1\u5de5\u5177\u3001\u638c\u63e1\u5e38\u7528\u5e93\u3001\u5b9e\u8df5\u9879\u76ee\u5f00\u53d1\u3001\u6301\u7eed\u5b66\u4e60\u66f4\u65b0<\/strong>\u3002\u8fd9\u4e9b\u662f\u7528Python\u8fdb\u884c\u5f00\u53d1\u7684\u57fa\u672c\u6b65\u9aa4\u3002Python\u4ee5\u5176\u7b80\u5355\u6613\u5b66\u7684\u8bed\u6cd5\u3001\u5f3a\u5927\u7684\u5e93\u652f\u6301\u548c\u5e7f\u6cdb\u7684\u5e94\u7528\u9886\u57df\u53d7\u5230\u5f00\u53d1\u8005\u7684\u6b22\u8fce\u3002\u5b66\u4e60Python\u57fa\u7840\u662f\u9996\u8981\u4efb\u52a1\uff0c\u5305\u62ec\u6570\u636e\u7c7b\u578b\u3001\u63a7\u5236\u6d41\u3001\u51fd\u6570\u7b49\u3002\u9009\u62e9\u5408\u9002\u7684\u5f00\u53d1\u5de5\u5177\u53ef\u4ee5\u63d0\u9ad8\u5f00\u53d1\u6548\u7387\uff0c\u5e38\u7528\u7684\u6709PyCharm\u3001VS Code\u7b49\u3002\u638c\u63e1\u5e38\u7528\u5e93\u5982NumPy\u3001Pandas\u3001Requests\u7b49\uff0c\u53ef\u4ee5\u5e94\u5bf9\u4e0d\u540c\u7684\u5f00\u53d1\u9700\u6c42\u3002\u5b9e\u8df5\u9879\u76ee\u5f00\u53d1\u662f\u63d0\u9ad8\u7f16\u7a0b\u80fd\u529b\u7684\u6709\u6548\u65b9\u5f0f\uff0c\u6700\u540e\uff0c\u6301\u7eed\u5b66\u4e60\u66f4\u65b0\u662f\u4fdd\u6301\u7ade\u4e89\u529b\u7684\u5173\u952e\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u5b66\u4e60Python\u57fa\u7840<\/p>\n<\/p>\n

\u5b66\u4e60Python\u57fa\u7840\u662f\u8fdb\u5165Python\u5f00\u53d1\u7684\u7b2c\u4e00\u6b65\u3002Python\u662f\u4e00\u79cd\u89e3\u91ca\u578b\u3001\u52a8\u6001\u7c7b\u578b\u7684\u9ad8\u7ea7\u7f16\u7a0b\u8bed\u8a00\uff0c\u5176\u7b80\u5355\u6613\u8bfb\u7684\u8bed\u6cd5\u4f7f\u5176\u6210\u4e3a\u521d\u5b66\u8005\u7684\u7406\u60f3\u9009\u62e9\u3002<\/p>\n<\/p>\n

    \n
  1. \n

    \u638c\u63e1\u57fa\u672c\u8bed\u6cd5\u548c\u6570\u636e\u7c7b\u578b<\/strong><\/p>\n<\/p>\n

    Python\u7684\u57fa\u672c\u8bed\u6cd5\u975e\u5e38\u7b80\u6d01\uff0c\u4ee3\u7801\u5757\u901a\u8fc7\u7f29\u8fdb\u6765\u5b9a\u4e49\uff0c\u800c\u4e0d\u662f\u4f7f\u7528\u5927\u62ec\u53f7\u3002Python\u652f\u6301\u591a\u79cd\u6570\u636e\u7c7b\u578b\uff0c\u5305\u62ec\u6574\u6570\u3001\u6d6e\u70b9\u6570\u3001\u5b57\u7b26\u4e32\u3001\u5217\u8868\u3001\u5143\u7ec4\u3001\u5b57\u5178\u548c\u96c6\u5408\u7b49\u3002\u7406\u89e3\u8fd9\u4e9b\u6570\u636e\u7c7b\u578b\u53ca\u5176\u64cd\u4f5c\u65b9\u6cd5\u662f\u7f16\u7a0b\u7684\u57fa\u7840\u3002<\/p>\n<\/p>\n

    \u4f8b\u5982\uff0c\u5217\u8868\u662f\u4e00\u79cd\u53ef\u53d8\u7684\u6709\u5e8f\u96c6\u5408\uff0c\u652f\u6301\u7d22\u5f15\u3001\u5207\u7247\u7b49\u64cd\u4f5c\uff1a<\/p>\n<\/p>\n

    my_list = [1, 2, 3, 4]<\/p>\n
    print(my_list[0])  # \u8f93\u51fa\uff1a1<\/p>\n
    my_list.append(5)<\/p>\n
    print(my_list)  # \u8f93\u51fa\uff1a[1, 2, 3, 4, 5]<\/p>\n
    <\/code><\/pre>\n<\/p>\n<\/li>\n
  2. \n
    \u638c\u63e1\u63a7\u5236\u6d41\u548c\u51fd\u6570<\/strong><\/p>\n<\/p>\n
    \u63a7\u5236\u6d41\u8bed\u53e5\u5982if\u3001for\u3001while\u7b49\u7528\u4e8e\u63a7\u5236\u7a0b\u5e8f\u6267\u884c\u7684\u6d41\u7a0b\u3002\u51fd\u6570\u662fPython\u4e2d\u7684\u4e00\u7b49\u516c\u6c11\uff0c\u901a\u8fc7def\u5173\u952e\u5b57\u5b9a\u4e49\uff0c\u53ef\u4ee5\u5b9e\u73b0\u4ee3\u7801\u7684\u590d\u7528\u3002<\/p>\n<\/p>\n
    def greet(name):<\/p>\n
        return f"Hello, {name}!"<\/p>\n
    print(greet("World"))  # \u8f93\u51fa\uff1aHello, World!<\/p>\n
    <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
    \u4e8c\u3001\u9009\u62e9\u5f00\u53d1\u5de5\u5177<\/p>\n<\/p>\n
    \u9009\u62e9\u5408\u9002\u7684\u5f00\u53d1\u5de5\u5177\u53ef\u4ee5\u6781\u5927\u5730\u63d0\u9ad8\u5f00\u53d1\u6548\u7387\u548c\u4ee3\u7801\u8d28\u91cf\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u6d41\u884c\u7684Python\u5f00\u53d1\u5de5\u5177\uff1a<\/p>\n<\/p>\n
      \n
    1. \n
      PyCharm<\/strong><\/p>\n<\/p>\n
      PyCharm\u662f\u4e00\u6b3e\u529f\u80fd\u5f3a\u5927\u7684Python IDE\uff0c\u7531JetBrAI<\/a>ns\u5f00\u53d1\u3002\u5b83\u63d0\u4f9b\u4e86\u4ee3\u7801\u8865\u5168\u3001\u4ee3\u7801\u91cd\u6784\u3001\u8c03\u8bd5\u3001\u6d4b\u8bd5\u7b49\u591a\u79cd\u529f\u80fd\uff0c\u652f\u6301\u591a\u79cd\u7248\u672c\u63a7\u5236\u7cfb\u7edf\u3002PyCharm\u6709\u793e\u533a\u7248\u548c\u4e13\u4e1a\u7248\uff0c\u793e\u533a\u7248\u514d\u8d39\u4f7f\u7528\u3002<\/p>\n<\/p>\n<\/li>\n
    2. \n
      Visual Studio Code<\/strong><\/p>\n<\/p>\n
      Visual Studio Code\uff08VS Code\uff09\u662f\u5fae\u8f6f\u63a8\u51fa\u7684\u5f00\u6e90\u7f16\u8f91\u5668\uff0c\u652f\u6301\u591a\u79cd\u8bed\u8a00\u3002\u901a\u8fc7\u5b89\u88c5Python\u63d2\u4ef6\uff0c\u53ef\u4ee5\u5c06\u5176\u6253\u9020\u6210\u529f\u80fd\u5f3a\u5927\u7684Python\u5f00\u53d1\u73af\u5883\u3002VS Code\u7684\u4f18\u70b9\u5728\u4e8e\u5176\u8f7b\u91cf\u7ea7\u548c\u53ef\u6269\u5c55\u6027\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
      \u4e09\u3001\u638c\u63e1\u5e38\u7528\u5e93<\/p>\n<\/p>\n
      Python\u62e5\u6709\u4e30\u5bcc\u7684\u6807\u51c6\u5e93\u548c\u7b2c\u4e09\u65b9\u5e93\uff0c\u638c\u63e1\u5e38\u7528\u5e93\u53ef\u4ee5\u5e94\u5bf9\u4e0d\u540c\u7684\u5f00\u53d1\u9700\u6c42\u3002<\/p>\n<\/p>\n
        \n
      1. \n
        NumPy\u548cPandas<\/strong><\/p>\n<\/p>\n
        NumPy\u662fPython\u7684\u6570\u503c\u8ba1\u7b97\u57fa\u7840\u5e93\uff0c\u63d0\u4f9b\u4e86\u9ad8\u6548\u7684\u591a\u7ef4\u6570\u7ec4\u5bf9\u8c61\u548c\u5404\u79cd\u6570\u5b66\u8fd0\u7b97\u3002Pandas\u662f\u5728NumPy\u7684\u57fa\u7840\u4e0a\u6784\u5efa\u7684\u6570\u636e\u5206\u6790\u5e93\uff0c\u63d0\u4f9b\u4e86\u6570\u636e\u7ed3\u6784\u548c\u6570\u636e\u5206\u6790\u5de5\u5177\u3002<\/p>\n<\/p>\n
        import numpy as np<\/p>\n
        import pandas as pd<\/p>\n
        data = np.array([[1, 2, 3], [4, 5, 6]])<\/p>\n
        df = pd.DataFrame(data, columns=['A', 'B', 'C'])<\/p>\n
        print(df)<\/p>\n
        <\/code><\/pre>\n<\/p>\n<\/li>\n
      2. \n
        Requests<\/strong><\/p>\n<\/p>\n
        Requests\u662f\u4e00\u4e2a\u7b80\u5355\u6613\u7528\u7684HTTP\u5e93\uff0c\u7528\u4e8e\u53d1\u9001HTTP\u8bf7\u6c42\u3002\u5b83\u8ba9HTTP\u8bf7\u6c42\u66f4\u52a0\u4eba\u6027\u5316\u548c\u7b80\u6d01\u3002<\/p>\n<\/p>\n
        import requests<\/p>\n
        response = requests.get('https:\/\/api.github.com')<\/p>\n
        print(response.status_code)  # \u8f93\u51fa\uff1a200<\/p>\n
        <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
        \u56db\u3001\u5b9e\u8df5\u9879\u76ee\u5f00\u53d1<\/p>\n<\/p>\n
        \u5b9e\u8df5\u9879\u76ee\u5f00\u53d1\u662f\u63d0\u9ad8\u7f16\u7a0b\u80fd\u529b\u7684\u6709\u6548\u65b9\u5f0f\u3002\u901a\u8fc7\u5b9e\u9645\u9879\u76ee\uff0c\u4f60\u53ef\u4ee5\u5c06\u6240\u5b66\u77e5\u8bc6\u5e94\u7528\u4e8e\u5b9e\u9645\u95ee\u9898\uff0c\u5e76\u4e14\u79ef\u7d2f\u5f00\u53d1\u7ecf\u9a8c\u3002<\/p>\n<\/p>\n
          \n
        1. \n
          \u9009\u62e9\u5408\u9002\u7684\u9879\u76ee<\/strong><\/p>\n<\/p>\n
          \u521d\u5b66\u8005\u53ef\u4ee5\u4ece\u7b80\u5355\u7684\u9879\u76ee\u5f00\u59cb\uff0c\u5982\u5b9e\u73b0\u4e00\u4e2a\u8ba1\u7b97\u5668\u3001\u722c\u866b\u7a0b\u5e8f\u6216\u7b80\u5355\u7684Web\u5e94\u7528\u3002\u968f\u7740\u7ecf\u9a8c\u7684\u79ef\u7d2f\uff0c\u53ef\u4ee5\u9010\u6e10\u6311\u6218\u66f4\u590d\u6742\u7684\u9879\u76ee\uff0c\u5982\u6570\u636e\u5206\u6790\u3001\u673a\u5668\u5b66\u4e60<\/a>\u5e94\u7528\u7b49\u3002<\/p>\n<\/p>\n<\/li>\n
        2. \n
          \u9879\u76ee\u5f00\u53d1\u6d41\u7a0b<\/strong><\/p>\n<\/p>\n
          \u9879\u76ee\u5f00\u53d1\u901a\u5e38\u5305\u62ec\u9700\u6c42\u5206\u6790\u3001\u8bbe\u8ba1\u3001\u7f16\u7801\u3001\u6d4b\u8bd5\u548c\u7ef4\u62a4\u7b49\u9636\u6bb5\u3002\u9700\u6c42\u5206\u6790\u662f\u660e\u786e\u9879\u76ee\u76ee\u6807\u548c\u529f\u80fd\uff0c\u8bbe\u8ba1\u662f\u5236\u5b9a\u9879\u76ee\u7684\u6280\u672f\u65b9\u6848\uff0c\u7f16\u7801\u662f\u5b9e\u73b0\u8bbe\u8ba1\u7684\u8fc7\u7a0b\uff0c\u6d4b\u8bd5\u662f\u9a8c\u8bc1\u4ee3\u7801\u7684\u6b63\u786e\u6027\uff0c\u7ef4\u62a4\u662f\u5bf9\u9879\u76ee\u8fdb\u884c\u4f18\u5316\u548c\u66f4\u65b0\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
          \u4e94\u3001\u6301\u7eed\u5b66\u4e60\u66f4\u65b0<\/p>\n<\/p>\n
          \u7f16\u7a0b\u6280\u672f\u65e5\u65b0\u6708\u5f02\uff0c\u6301\u7eed\u5b66\u4e60\u66f4\u65b0\u662f\u4fdd\u6301\u7ade\u4e89\u529b\u7684\u5173\u952e\u3002<\/p>\n<\/p>\n
            \n
          1. \n
            \u5173\u6ce8\u793e\u533a\u548c\u6587\u6863<\/strong><\/p>\n<\/p>\n
            Python\u793e\u533a\u6d3b\u8dc3\uff0c\u6709\u8bb8\u591a\u4f18\u79c0\u7684\u5b66\u4e60\u8d44\u6e90\u548c\u6587\u6863\u3002\u5b98\u65b9\u6587\u6863\u3001Stack Overflow\u3001GitHub\u7b49\u90fd\u662f\u83b7\u53d6\u4fe1\u606f\u7684\u597d\u5730\u65b9\u3002<\/p>\n<\/p>\n<\/li>\n
          2. \n
            \u53c2\u4e0e\u5f00\u6e90\u9879\u76ee<\/strong><\/p>\n<\/p>\n
            \u53c2\u4e0e\u5f00\u6e90\u9879\u76ee\u662f\u63d0\u5347\u6280\u80fd\u548c\u79ef\u7d2f\u7ecf\u9a8c\u7684\u597d\u65b9\u6cd5\u3002\u901a\u8fc7\u53c2\u4e0e\u5f00\u6e90\u9879\u76ee\uff0c\u4f60\u53ef\u4ee5\u4e0e\u5176\u4ed6\u5f00\u53d1\u8005\u4ea4\u6d41\u5408\u4f5c\uff0c\u5b66\u4e60\u4ed6\u4eec\u7684\u7f16\u7a0b\u6280\u5de7\u548c\u7ecf\u9a8c\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
            \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
             \u5982\u4f55\u5f00\u59cb\u5b66\u4e60Python\u5f00\u53d1\uff1f<\/strong>
            \u8981\u5f00\u59cb\u5b66\u4e60Python\u5f00\u53d1\uff0c\u9996\u5148\u5e94\u9009\u62e9\u9002\u5408\u81ea\u5df1\u7684\u5b66\u4e60\u8d44\u6e90\uff0c\u5982\u5728\u7ebf\u8bfe\u7a0b\u3001\u4e66\u7c4d\u6216\u89c6\u9891\u6559\u7a0b\u3002\u53ef\u4ee5\u4ece\u57fa\u7840\u8bed\u6cd5\u548c\u6570\u636e\u7ed3\u6784\u5165\u624b\uff0c\u9010\u6b65\u6df1\u5165\u5230\u9762\u5411\u5bf9\u8c61\u7f16\u7a0b\u548c\u5e38\u7528\u5e93\u7684\u4f7f\u7528\u3002\u6b64\u5916\uff0c\u5b9e\u8df5\u662f\u5b66\u4e60\u7684\u5173\u952e\uff0c\u5efa\u8bae\u901a\u8fc7\u7f16\u5199\u5c0f\u9879\u76ee\u548c\u53c2\u4e0e\u5f00\u6e90\u9879\u76ee\u6765\u63d0\u5347\u81ea\u5df1\u7684\u7f16\u7a0b\u80fd\u529b\u3002<\/p>\n
            Python\u5f00\u53d1\u4e2d\u5e38\u89c1\u7684\u5de5\u5177\u548c\u6846\u67b6\u6709\u54ea\u4e9b\uff1f<\/strong>
            \u5728Python\u5f00\u53d1\u4e2d\uff0c\u6709\u8bb8\u591a\u6d41\u884c\u7684\u5de5\u5177\u548c\u6846\u67b6\u53ef\u4ee5\u63d0\u9ad8\u5f00\u53d1\u6548\u7387\u3002\u5e38\u7528\u7684\u96c6\u6210\u5f00\u53d1\u73af\u5883\uff08IDE\uff09\u5305\u62ecPyCharm\u3001Visual Studio Code\u548cJupyter Notebook\u3002\u5bf9\u4e8eWeb\u5f00\u53d1\uff0c\u53ef\u4ee5\u4f7f\u7528Django\u6216Flask\u6846\u67b6\uff1b\u6570\u636e\u79d1\u5b66\u9886\u57df\u5e38\u7528NumPy\u3001Pandas\u548cMatplotlib\u7b49\u5e93\u3002\u9009\u62e9\u5408\u9002\u7684\u5de5\u5177\u548c\u6846\u67b6\u80fd\u591f\u5e2e\u52a9\u5f00\u53d1\u8005\u66f4\u9ad8\u6548\u5730\u5b8c\u6210\u9879\u76ee\u3002<\/p>\n
            \u5982\u4f55\u63d0\u9ad8Python\u7f16\u7a0b\u80fd\u529b\uff1f<\/strong>
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