{"id":1068782,"date":"2024-12-31T16:46:26","date_gmt":"2024-12-31T08:46:26","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1068782.html"},"modified":"2024-12-31T16:46:28","modified_gmt":"2024-12-31T08:46:28","slug":"%e5%a6%82%e4%bd%95%e7%94%a8python%e8%ae%a1%e7%ae%97%e4%b8%80%e4%b8%aa%e6%95%b0%e5%80%bc","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1068782.html","title":{"rendered":"\u5982\u4f55\u7528Python\u8ba1\u7b97\u4e00\u4e2a\u6570\u503c"},"content":{"rendered":"

\"\u5982\u4f55\u7528Python\u8ba1\u7b97\u4e00\u4e2a\u6570\u503c\"<\/p>\n

\u8981\u7528Python\u8ba1\u7b97\u4e00\u4e2a\u6570\u503c\uff0c\u53ef\u4ee5\u4f7f\u7528\u57fa\u672c\u8fd0\u7b97\u7b26\u3001\u5185\u7f6e\u51fd\u6570\u3001\u6570\u5b66\u5e93\u7b49\u591a\u79cd\u65b9\u6cd5\u3002\u6700\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u57fa\u672c\u8fd0\u7b97\u7b26\uff08\u5982+\u3001-\u3001*\u3001\/\uff09\u3001\u6570\u5b66\u5e93\uff08\u5982math\u6a21\u5757\uff09\u3001\u81ea\u5b9a\u4e49\u51fd\u6570\u3002\u4e0b\u9762\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\u6765\u8fdb\u884c\u8ba1\u7b97\u3002<\/strong><\/p>\n<\/p>\n

\u4e00\u3001\u57fa\u672c\u8fd0\u7b97\u7b26<\/p>\n<\/p>\n

Python\u63d0\u4f9b\u4e86\u57fa\u672c\u7684\u7b97\u672f\u8fd0\u7b97\u7b26\u6765\u8fdb\u884c\u6570\u503c\u8ba1\u7b97\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u57fa\u672c\u8fd0\u7b97\u7b26\uff1a<\/p>\n<\/p>\n

    \n
  1. \u52a0\u6cd5\u8fd0\u7b97\u7b26 (+)<\/strong>\uff1a\u7528\u4e8e\u4e24\u4e2a\u6570\u7684\u76f8\u52a0\u3002<\/li>\n
  2. \u51cf\u6cd5\u8fd0\u7b97\u7b26 (-)<\/strong>\uff1a\u7528\u4e8e\u4e24\u4e2a\u6570\u7684\u76f8\u51cf\u3002<\/li>\n
  3. \u4e58\u6cd5\u8fd0\u7b97\u7b26 (*)<\/strong>\uff1a\u7528\u4e8e\u4e24\u4e2a\u6570\u7684\u76f8\u4e58\u3002<\/li>\n
  4. \u9664\u6cd5\u8fd0\u7b97\u7b26 (\/)<\/strong>\uff1a\u7528\u4e8e\u4e24\u4e2a\u6570\u7684\u76f8\u9664\u3002<\/li>\n
  5. \u53d6\u6574\u9664\u8fd0\u7b97\u7b26 (\/\/)<\/strong>\uff1a\u7528\u4e8e\u4e24\u4e2a\u6570\u7684\u6574\u6570\u9664\u6cd5\u3002<\/li>\n
  6. \u53d6\u4f59\u8fd0\u7b97\u7b26 (%)<\/strong>\uff1a\u7528\u4e8e\u4e24\u4e2a\u6570\u7684\u4f59\u6570\u8ba1\u7b97\u3002<\/li>\n
  7. \u6307\u6570\u8fd0\u7b97\u7b26 (<\/strong>) \uff1a\u7528\u4e8e\u8ba1\u7b97\u4e00\u4e2a\u6570\u7684\u5e42\u3002<\/li>\n<\/ol>\n

    a = 10<\/p>\n
    b = 5<\/p>\n
    add_result = a + b<\/p>\n
    sub_result = a - b<\/p>\n
    mul_result = a * b<\/p>\n
    div_result = a \/ b<\/p>\n
    floordiv_result = a \/\/ b<\/p>\n
    mod_result = a % b<\/p>\n
    exp_result = a  b<\/p>\n
    print(f"\u52a0\u6cd5\u7ed3\u679c: {add_result}")<\/p>\n
    print(f"\u51cf\u6cd5\u7ed3\u679c: {sub_result}")<\/p>\n
    print(f"\u4e58\u6cd5\u7ed3\u679c: {mul_result}")<\/p>\n
    print(f"\u9664\u6cd5\u7ed3\u679c: {div_result}")<\/p>\n
    print(f"\u53d6\u6574\u9664\u7ed3\u679c: {floordiv_result}")<\/p>\n
    print(f"\u53d6\u4f59\u7ed3\u679c: {mod_result}")<\/p>\n
    print(f"\u6307\u6570\u7ed3\u679c: {exp_result}")<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u4e8c\u3001\u4f7f\u7528\u6570\u5b66\u5e93<\/p>\n<\/p>\n
    Python\u7684math\u5e93\u63d0\u4f9b\u4e86\u8bb8\u591a\u6570\u5b66\u51fd\u6570\u548c\u5e38\u91cf\uff0c\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u8fdb\u884c\u66f4\u590d\u6742\u7684\u8ba1\u7b97\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u7528\u7684math\u5e93\u51fd\u6570\uff1a<\/p>\n<\/p>\n
      \n
    1. math.sqrt(x)<\/strong>\uff1a\u8ba1\u7b97x\u7684\u5e73\u65b9\u6839\u3002<\/li>\n
    2. math.pow(x, y)<\/strong>\uff1a\u8ba1\u7b97x\u7684y\u6b21\u65b9\u3002<\/li>\n
    3. math.log(x, base)<\/strong>\uff1a\u8ba1\u7b97x\u7684\u5bf9\u6570\uff0cbase\u4e3a\u5bf9\u6570\u7684\u5e95\u3002<\/li>\n
    4. math.sin(x)<\/strong>\u3001math.cos(x)<\/strong>\u3001math.tan(x)<\/strong>\uff1a\u8ba1\u7b97x\u7684\u6b63\u5f26\u3001\u4f59\u5f26\u548c\u6b63\u5207\u503c\u3002<\/li>\n
    5. math.pi<\/strong>\u3001math.e<\/strong>\uff1a\u6570\u5b66\u5e38\u91cf\u03c0\u548ce\u3002<\/li>\n<\/ol>\n
      import math<\/p>\n
      x = 25<\/p>\n
      y = 2<\/p>\n
      sqrt_result = math.sqrt(x)<\/p>\n
      pow_result = math.pow(x, y)<\/p>\n
      log_result = math.log(x, 10)<\/p>\n
      sin_result = math.sin(math.radians(90))<\/p>\n
      cos_result = math.cos(math.radians(0))<\/p>\n
      tan_result = math.tan(math.radians(45))<\/p>\n
      pi_value = math.pi<\/p>\n
      e_value = math.e<\/p>\n
      print(f"\u5e73\u65b9\u6839\u7ed3\u679c: {sqrt_result}")<\/p>\n
      print(f"\u6b21\u65b9\u7ed3\u679c: {pow_result}")<\/p>\n
      print(f"\u5bf9\u6570\u7ed3\u679c: {log_result}")<\/p>\n
      print(f"\u6b63\u5f26\u7ed3\u679c: {sin_result}")<\/p>\n
      print(f"\u4f59\u5f26\u7ed3\u679c: {cos_result}")<\/p>\n
      print(f"\u6b63\u5207\u7ed3\u679c: {tan_result}")<\/p>\n
      print(f"\u03c0\u503c: {pi_value}")<\/p>\n
      print(f"e\u503c: {e_value}")<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u4e09\u3001\u81ea\u5b9a\u4e49\u51fd\u6570<\/p>\n<\/p>\n
      \u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u8fdb\u884c\u4e00\u4e9b\u7279\u5b9a\u7684\u8ba1\u7b97\uff0c\u5185\u7f6e\u51fd\u6570\u548cmath\u5e93\u65e0\u6cd5\u6ee1\u8db3\u9700\u6c42\u3002\u8fd9\u65f6\u53ef\u4ee5\u5b9a\u4e49\u81ea\u5df1\u7684\u51fd\u6570\u3002<\/p>\n<\/p>\n
        \n
      1. \u7b80\u5355\u51fd\u6570<\/strong>\uff1a\u5b9a\u4e49\u4e00\u4e2a\u51fd\u6570\u6765\u8ba1\u7b97\u4e24\u4e2a\u6570\u7684\u548c\u3002<\/li>\n
      2. \u590d\u6742\u51fd\u6570<\/strong>\uff1a\u5b9a\u4e49\u4e00\u4e2a\u51fd\u6570\u6765\u8ba1\u7b97\u7ed9\u5b9a\u8303\u56f4\u5185\u7684\u6240\u6709\u7d20\u6570\u3002<\/li>\n<\/ol>\n
        # \u7b80\u5355\u51fd\u6570\u793a\u4f8b<\/p>\n
        def add_numbers(x, y):<\/p>\n
            return x + y<\/p>\n
        result = add_numbers(10, 5)<\/p>\n
        print(f"\u81ea\u5b9a\u4e49\u51fd\u6570\u52a0\u6cd5\u7ed3\u679c: {result}")<\/p>\n
        \u590d\u6742\u51fd\u6570\u793a\u4f8b<\/strong><\/h2>\n
        def is_prime(n):<\/p>\n
            if n <= 1:<\/p>\n
                return False<\/p>\n
            for i in range(2, int(math.sqrt(n)) + 1):<\/p>\n
                if n % i == 0:<\/p>\n
                    return False<\/p>\n
            return True<\/p>\n
        def find_primes_in_range(start, end):<\/p>\n
            primes = []<\/p>\n
            for num in range(start, end + 1):<\/p>\n
                if is_prime(num):<\/p>\n
                    primes.append(num)<\/p>\n
            return primes<\/p>\n
        primes = find_primes_in_range(10, 50)<\/p>\n
        print(f"\u8303\u56f4\u5185\u7684\u7d20\u6570: {primes}")<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u56db\u3001\u6570\u7ec4\u548c\u77e9\u9635\u8fd0\u7b97<\/p>\n<\/p>\n
        \u5728\u79d1\u5b66\u8ba1\u7b97\u548c\u6570\u636e\u5206\u6790\u4e2d\uff0c\u6570\u7ec4\u548c\u77e9\u9635\u8fd0\u7b97\u662f\u975e\u5e38\u5e38\u89c1\u7684\u3002Python\u7684NumPy\u5e93\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u7ec4\u548c\u77e9\u9635\u8fd0\u7b97\u529f\u80fd\u3002<\/p>\n<\/p>\n
          \n
        1. \u521b\u5efa\u6570\u7ec4<\/strong>\uff1a\u53ef\u4ee5\u4f7f\u7528numpy.array()\u51fd\u6570\u521b\u5efa\u6570\u7ec4\u3002<\/li>\n
        2. \u6570\u7ec4\u8fd0\u7b97<\/strong>\uff1a\u53ef\u4ee5\u5bf9\u6570\u7ec4\u8fdb\u884c\u52a0\u3001\u51cf\u3001\u4e58\u3001\u9664\u7b49\u8fd0\u7b97\u3002<\/li>\n
        3. \u77e9\u9635\u8fd0\u7b97<\/strong>\uff1a\u53ef\u4ee5\u4f7f\u7528numpy.dot()\u51fd\u6570\u8fdb\u884c\u77e9\u9635\u4e58\u6cd5\u8fd0\u7b97\u3002<\/li>\n<\/ol>\n
          import numpy as np<\/p>\n
          \u521b\u5efa\u6570\u7ec4<\/strong><\/h2>\n
          arr1 = np.array([1, 2, 3])<\/p>\n
          arr2 = np.array([4, 5, 6])<\/p>\n
          \u6570\u7ec4\u8fd0\u7b97<\/strong><\/h2>\n
          arr_add = arr1 + arr2<\/p>\n
          arr_sub = arr1 - arr2<\/p>\n
          arr_mul = arr1 * arr2<\/p>\n
          arr_div = arr1 \/ arr2<\/p>\n
          print(f"\u6570\u7ec4\u52a0\u6cd5\u7ed3\u679c: {arr_add}")<\/p>\n
          print(f"\u6570\u7ec4\u51cf\u6cd5\u7ed3\u679c: {arr_sub}")<\/p>\n
          print(f"\u6570\u7ec4\u4e58\u6cd5\u7ed3\u679c: {arr_mul}")<\/p>\n
          print(f"\u6570\u7ec4\u9664\u6cd5\u7ed3\u679c: {arr_div}")<\/p>\n
          \u521b\u5efa\u77e9\u9635<\/strong><\/h2>\n
          mat1 = np.array([[1, 2], [3, 4]])<\/p>\n
          mat2 = np.array([[5, 6], [7, 8]])<\/p>\n
          \u77e9\u9635\u8fd0\u7b97<\/strong><\/h2>\n
          mat_add = mat1 + mat2<\/p>\n
          mat_sub = mat1 - mat2<\/p>\n
          mat_mul = np.dot(mat1, mat2)<\/p>\n
          print(f"\u77e9\u9635\u52a0\u6cd5\u7ed3\u679c: \\n{mat_add}")<\/p>\n
          print(f"\u77e9\u9635\u51cf\u6cd5\u7ed3\u679c: \\n{mat_sub}")<\/p>\n
          print(f"\u77e9\u9635\u4e58\u6cd5\u7ed3\u679c: \\n{mat_mul}")<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u4e94\u3001\u6570\u636e\u5206\u6790\u4e2d\u7684\u8ba1\u7b97<\/p>\n<\/p>\n
          \u5728\u6570\u636e\u5206\u6790\u4e2d\uff0c\u4f7f\u7528Pandas\u5e93\u8fdb\u884c\u6570\u636e\u64cd\u4f5c\u548c\u8ba1\u7b97\u662f\u975e\u5e38\u5e38\u89c1\u7684\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u6570\u636e\u5206\u6790\u8ba1\u7b97\uff1a<\/p>\n<\/p>\n
            \n
          1. \u8bfb\u53d6\u6570\u636e<\/strong>\uff1a\u4f7f\u7528pandas.read_csv()\u51fd\u6570\u8bfb\u53d6CSV\u6587\u4ef6\u3002<\/li>\n
          2. \u6570\u636e\u7b5b\u9009<\/strong>\uff1a\u4f7f\u7528DataFrame\u7684\u7b5b\u9009\u529f\u80fd\u8fdb\u884c\u6570\u636e\u7b5b\u9009\u3002<\/li>\n
          3. \u6570\u636e\u8ba1\u7b97<\/strong>\uff1a\u5bf9DataFrame\u8fdb\u884c\u6c42\u548c\u3001\u5747\u503c\u3001\u6807\u51c6\u5dee\u7b49\u8ba1\u7b97\u3002<\/li>\n<\/ol>\n
            import pandas as pd<\/p>\n
            \u8bfb\u53d6\u6570\u636e<\/strong><\/h2>\n
            data = pd.read_csv('data.csv')<\/p>\n
            \u6570\u636e\u7b5b\u9009<\/strong><\/h2>\n
            filtered_data = data[data['column_name'] > 10]<\/p>\n
            \u6570\u636e\u8ba1\u7b97<\/strong><\/h2>\n
            sum_result = data['column_name'].sum()<\/p>\n
            mean_result = data['column_name'].mean()<\/p>\n
            std_result = data['column_name'].std()<\/p>\n
            print(f"\u6570\u636e\u6c42\u548c\u7ed3\u679c: {sum_result}")<\/p>\n
            print(f"\u6570\u636e\u5747\u503c\u7ed3\u679c: {mean_result}")<\/p>\n
            print(f"\u6570\u636e\u6807\u51c6\u5dee\u7ed3\u679c: {std_result}")<\/p>\n
            <\/code><\/pre>\n<\/p>\n
            \u516d\u3001\u53ef\u89c6\u5316\u8ba1\u7b97\u7ed3\u679c<\/p>\n<\/p>\n
            \u5728\u6570\u636e\u79d1\u5b66\u4e2d\uff0c\u5c55\u793a\u8ba1\u7b97\u7ed3\u679c\u662f\u975e\u5e38\u91cd\u8981\u7684\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528Matplotlib\u5e93\u6765\u7ed8\u5236\u56fe\u8868\uff0c\u5c55\u793a\u8ba1\u7b97\u7ed3\u679c\u3002<\/p>\n<\/p>\n
              \n
            1. \u7ed8\u5236\u6298\u7ebf\u56fe<\/strong>\uff1a\u5c55\u793a\u4e00\u7ec4\u6570\u636e\u7684\u53d8\u5316\u8d8b\u52bf\u3002<\/li>\n
            2. \u7ed8\u5236\u67f1\u72b6\u56fe<\/strong>\uff1a\u5c55\u793a\u6570\u636e\u7684\u5206\u5e03\u60c5\u51b5\u3002<\/li>\n
            3. \u7ed8\u5236\u6563\u70b9\u56fe<\/strong>\uff1a\u5c55\u793a\u6570\u636e\u7684\u76f8\u5173\u6027\u3002<\/li>\n<\/ol>\n
              import matplotlib.pyplot as plt<\/p>\n
              \u7ed8\u5236\u6298\u7ebf\u56fe<\/strong><\/h2>\n
              x = np.linspace(0, 10, 100)<\/p>\n
              y = np.sin(x)<\/p>\n
              plt.plot(x, y)<\/p>\n
              plt.title('Sine Wave')<\/p>\n
              plt.xlabel('X-axis')<\/p>\n
              plt.ylabel('Y-axis')<\/p>\n
              plt.show()<\/p>\n
              \u7ed8\u5236\u67f1\u72b6\u56fe<\/strong><\/h2>\n
              categories = ['A', 'B', 'C', 'D']<\/p>\n
              values = [10, 20, 15, 25]<\/p>\n
              plt.bar(categories, values)<\/p>\n
              plt.title('Bar Chart')<\/p>\n
              plt.xlabel('Categories')<\/p>\n
              plt.ylabel('Values')<\/p>\n
              plt.show()<\/p>\n
              \u7ed8\u5236\u6563\u70b9\u56fe<\/strong><\/h2>\n
              x = np.random.rand(50)<\/p>\n
              y = np.random.rand(50)<\/p>\n
              plt.scatter(x, y)<\/p>\n
              plt.title('Scatter Plot')<\/p>\n
              plt.xlabel('X-axis')<\/p>\n
              plt.ylabel('Y-axis')<\/p>\n
              plt.show()<\/p>\n
              <\/code><\/pre>\n<\/p>\n
              \u901a\u8fc7\u4ee5\u4e0a\u51e0\u79cd\u65b9\u6cd5\uff0c\u6211\u4eec\u53ef\u4ee5\u5728Python\u4e2d\u8fdb\u884c\u5404\u79cd\u6570\u503c\u8ba1\u7b97\uff0c\u4ece\u57fa\u672c\u7684\u7b97\u672f\u8fd0\u7b97\u5230\u590d\u6742\u7684\u79d1\u5b66\u8ba1\u7b97\u548c\u6570\u636e\u5206\u6790\u3002\u638c\u63e1\u8fd9\u4e9b\u8ba1\u7b97\u65b9\u6cd5\uff0c\u5c06\u6709\u52a9\u4e8e\u6211\u4eec\u5728\u7f16\u7a0b\u548c\u6570\u636e\u5904\u7406\u8fc7\u7a0b\u4e2d\u66f4\u52a0\u9ad8\u6548\u5730\u89e3\u51b3\u95ee\u9898\u3002<\/strong><\/p>\n<\/p>\n
              \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
               \u5982\u4f55\u5728Python\u4e2d\u8fdb\u884c\u57fa\u672c\u7684\u6570\u5b66\u8fd0\u7b97\uff1f<\/strong>
              \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u57fa\u672c\u7684\u7b97\u672f\u8fd0\u7b97\u7b26\u8fdb\u884c\u6570\u5b66\u8fd0\u7b97\u3002\u52a0\u6cd5\u4f7f\u7528+<\/code>\uff0c\u51cf\u6cd5\u4f7f\u7528-<\/code>\uff0c\u4e58\u6cd5\u4f7f\u7528*<\/code>\uff0c\u9664\u6cd5\u4f7f\u7528\/<\/code>\uff0c\u53d6\u6574\u9664\u4f7f\u7528\/\/<\/code>\uff0c\u53d6\u4f59\u8fd0\u7b97\u4f7f\u7528%<\/code>\uff0c\u800c\u6307\u6570\u8fd0\u7b97\u4f7f\u7528**<\/code>\u3002\u4f8b\u5982\uff0c\u8ba1\u7b97\u4e24\u4e2a\u6570\u7684\u548c\u53ef\u4ee5\u4f7f\u7528a + b<\/code>\uff0c\u5176\u4e2da<\/code>\u548cb<\/code>\u662f\u4f60\u60f3\u8981\u8ba1\u7b97\u7684\u6570\u503c\u3002<\/p>\n
              Python\u652f\u6301\u54ea\u4e9b\u6570\u636e\u7c7b\u578b\u7528\u4e8e\u6570\u503c\u8ba1\u7b97\uff1f<\/strong>
              Python\u652f\u6301\u591a\u79cd\u6570\u636e\u7c7b\u578b\u7528\u4e8e\u6570\u503c\u8ba1\u7b97\uff0c\u5305\u62ec\u6574\u6570\uff08int<\/code>\uff09\u3001\u6d6e\u70b9\u6570\uff08float<\/code>\uff09\u548c\u590d\u6570\uff08complex<\/code>\uff09\u3002\u6574\u6570\u662f\u6ca1\u6709\u5c0f\u6570\u90e8\u5206\u7684\u6570\u5b57\uff0c\u6d6e\u70b9\u6570\u5219\u662f\u5305\u542b\u5c0f\u6570\u90e8\u5206\u7684\u6570\u5b57\uff0c\u590d\u6570\u5219\u662f\u7531\u5b9e\u90e8\u548c\u865a\u90e8\u7ec4\u6210\u7684\u6570\u5b57\u3002\u4f60\u53ef\u4ee5\u6839\u636e\u9700\u8981\u9009\u62e9\u5408\u9002\u7684\u6570\u636e\u7c7b\u578b\u8fdb\u884c\u8ba1\u7b97\u3002<\/p>\n
              \u5982\u4f55\u5728Python\u4e2d\u5904\u7406\u590d\u6742\u7684\u6570\u5b66\u8ba1\u7b97\uff1f<\/strong>
              \u5bf9\u4e8e\u590d\u6742\u7684\u6570\u5b66\u8ba1\u7b97\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u7684math<\/code>\u6a21\u5757\uff0c\u5b83\u63d0\u4f9b\u4e86\u8bb8\u591a\u6570\u5b66\u51fd\u6570\u548c\u5e38\u91cf\u3002\u4f8b\u5982\uff0c\u4f7f\u7528math.sqrt()<\/code>\u53ef\u4ee5\u8ba1\u7b97\u5e73\u65b9\u6839\uff0cmath.factorial()<\/code>\u53ef\u4ee5\u8ba1\u7b97\u9636\u4e58\uff0cmath.pi<\/code>\u63d0\u4f9b\u5706\u5468\u7387\u503c\u3002\u8fd9\u4e9b\u51fd\u6570\u53ef\u4ee5\u5e2e\u52a9\u4f60\u66f4\u65b9\u4fbf\u5730\u8fdb\u884c\u5404\u79cd\u6570\u5b66\u8fd0\u7b97\uff0c\u5c24\u5176\u662f\u5728\u6d89\u53ca\u5230\u9ad8\u7ea7\u6570\u5b66\u65f6\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u8981\u7528Python\u8ba1\u7b97\u4e00\u4e2a\u6570\u503c\uff0c\u53ef\u4ee5\u4f7f\u7528\u57fa\u672c\u8fd0\u7b97\u7b26\u3001\u5185\u7f6e\u51fd\u6570\u3001\u6570\u5b66\u5e93\u7b49\u591a\u79cd\u65b9\u6cd5\u3002\u6700\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u57fa\u672c\u8fd0\u7b97\u7b26\uff08\u5982 […]","protected":false},"author":3,"featured_media":1068794,"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\/1068782"}],"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=1068782"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1068782\/revisions"}],"predecessor-version":[{"id":1068799,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1068782\/revisions\/1068799"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1068794"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1068782"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1068782"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1068782"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}