{"id":945560,"date":"2024-12-26T23:27:07","date_gmt":"2024-12-26T15:27:07","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/945560.html"},"modified":"2024-12-26T23:27:10","modified_gmt":"2024-12-26T15:27:10","slug":"python%e5%a6%82%e4%bd%95%e8%a1%a8%e8%be%betrue","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/945560.html","title":{"rendered":"python\u5982\u4f55\u8868\u8fbetrue"},"content":{"rendered":"

\"python\u5982\u4f55\u8868\u8fbetrue\"<\/p>\n

\u5728Python\u4e2d\uff0c\u8868\u8fbe\u5e03\u5c14\u503c\u201c\u771f\u201d\u53ef\u4ee5\u4f7f\u7528\u5173\u952e\u5b57True<\/code>\u3001\u6570\u5b571<\/code>\u3001\u4ee5\u53ca\u4efb\u4f55\u975e\u96f6\u3001\u975e\u7a7a\u5bf9\u8c61\u3002\u5728\u6761\u4ef6\u5224\u65ad\u3001\u903b\u8f91\u8fd0\u7b97\u4ee5\u53ca\u8d4b\u503c\u64cd\u4f5c\u4e2d\uff0cTrue<\/code>\u901a\u5e38\u7528\u4e8e\u8868\u793a\u6761\u4ef6\u6210\u7acb\u6216\u8868\u8fbe\u903b\u8f91\u4e0a\u7684\u80af\u5b9a\u3002<\/strong> Python\u8bed\u8a00\u8bbe\u8ba1\u4e2d\uff0c\u5e03\u5c14\u7c7b\u578b\u662f\u5185\u7f6e\u7684\u57fa\u672c\u6570\u636e\u7c7b\u578b\u4e4b\u4e00\uff0c\u6700\u5e38\u7528\u7684\u65b9\u5f0f\u662f\u76f4\u63a5\u4f7f\u7528\u5173\u952e\u5b57True<\/code>\u3002True<\/code>\u5728\u5e03\u5c14\u8fd0\u7b97\u4e2d\u4ee3\u8868\u903b\u8f91\u4e0a\u6b63\u786e\u7684\u72b6\u6001\uff0c\u5e76\u4e14\u53ef\u4ee5\u5728\u63a7\u5236\u6d41\u8bed\u53e5\u4e2d\u76f4\u63a5\u4f7f\u7528\uff0c\u4f8b\u5982if<\/code>\u8bed\u53e5\u3001while<\/code>\u5faa\u73af\u7b49\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u7528\u6cd5\u3002<\/p>\n<\/p>\n

\u4e00\u3001PYTHON\u4e2d\u7684\u5e03\u5c14\u7c7b\u578b<\/p>\n<\/p>\n

Python\u4e2d\u7684\u5e03\u5c14\u7c7b\u578b\u662fbool<\/code>\uff0c\u5b83\u662fPython\u5185\u7f6e\u7684\u57fa\u672c\u6570\u636e\u7c7b\u578b\u4e4b\u4e00\u3002Python\u7684\u5e03\u5c14\u7c7b\u578b\u6709\u4e24\u4e2a\u503c\uff1aTrue<\/code>\u548cFalse<\/code>\u3002\u8fd9\u4e24\u4e2a\u503c\u5728\u903b\u8f91\u8fd0\u7b97\u4e2d\u8868\u793a\u903b\u8f91\u4e0a\u7684\u201c\u771f\u201d\u548c\u201c\u5047\u201d\u3002\u5e03\u5c14\u7c7b\u578b\u901a\u5e38\u7528\u4e8e\u6761\u4ef6\u5224\u65ad\u3001\u5faa\u73af\u63a7\u5236\u7b49\u573a\u666f\u3002<\/p>\n<\/p>\n

    \n
  1. \u5e03\u5c14\u503cTrue<\/code>\u548cFalse<\/code><\/li>\n<\/ol>\n

    \u5728Python\u4e2d\uff0cTrue<\/code>\u548cFalse<\/code>\u662f\u5e03\u5c14\u7c7b\u578b\u7684\u4e24\u4e2a\u503c\u3002\u5728\u903b\u8f91\u8fd0\u7b97\u4e2d\uff0cTrue<\/code>\u8868\u793a\u903b\u8f91\u4e0a\u7684\u201c\u771f\u201d\uff0c\u800cFalse<\/code>\u8868\u793a\u903b\u8f91\u4e0a\u7684\u201c\u5047\u201d\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n

    is_valid = True<\/p>\n
    is_expired = False<\/p>\n
    <\/code><\/pre>\n<\/p>\n
      \n
    1. \u5e03\u5c14\u7c7b\u578b\u7684\u8f6c\u6362<\/li>\n<\/ol>\n
      \u5728Python\u4e2d\uff0c\u5e03\u5c14\u7c7b\u578b\u53ef\u4ee5\u901a\u8fc7\u5185\u7f6e\u7684bool()<\/code>\u51fd\u6570\u8fdb\u884c\u8f6c\u6362\u3002\u4efb\u4f55\u975e\u96f6\u6570\u5b57\u3001\u975e\u7a7a\u5bf9\u8c61\u5728\u8f6c\u6362\u4e3a\u5e03\u5c14\u7c7b\u578b\u65f6\uff0c\u90fd\u4f1a\u88ab\u8f6c\u6362\u4e3aTrue<\/code>\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
      print(bool(1))  # \u8f93\u51fa\uff1aTrue<\/p>\n
      print(bool(0))  # \u8f93\u51fa\uff1aFalse<\/p>\n
      print(bool("Hello"))  # \u8f93\u51fa\uff1aTrue<\/p>\n
      print(bool(""))  # \u8f93\u51fa\uff1aFalse<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u4e8c\u3001\u5e03\u5c14\u503c\u7684\u4f7f\u7528\u573a\u666f<\/p>\n<\/p>\n
        \n
      1. \u6761\u4ef6\u5224\u65ad<\/li>\n<\/ol>\n
        \u5e03\u5c14\u503c\u5728\u6761\u4ef6\u5224\u65ad\u4e2d\u626e\u6f14\u7740\u91cd\u8981\u7684\u89d2\u8272\u3002\u5728Python\u4e2d\uff0cif<\/code>\u8bed\u53e5\u7528\u4e8e\u6761\u4ef6\u5224\u65ad\uff0cTrue<\/code>\u8868\u793a\u6761\u4ef6\u6210\u7acb\uff0cFalse<\/code>\u8868\u793a\u6761\u4ef6\u4e0d\u6210\u7acb\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
        if True:<\/p>\n
            print("This is true")<\/p>\n
        if 5 > 3:<\/p>\n
            print("5 is greater than 3")<\/p>\n
        <\/code><\/pre>\n<\/p>\n
          \n
        1. \u5faa\u73af\u63a7\u5236<\/li>\n<\/ol>\n
          \u5e03\u5c14\u503c\u4e5f\u5e38\u7528\u4e8e\u63a7\u5236\u5faa\u73af\u3002\u5728while<\/code>\u5faa\u73af\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u5e03\u5c14\u503c\u6765\u63a7\u5236\u5faa\u73af\u7684\u6267\u884c\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
          count = 0<\/p>\n
          while count < 5:<\/p>\n
              print("Count:", count)<\/p>\n
              count += 1<\/p>\n
          <\/code><\/pre>\n<\/p>\n
            \n
          1. \u903b\u8f91\u8fd0\u7b97<\/li>\n<\/ol>\n
            \u5e03\u5c14\u503c\u5728\u903b\u8f91\u8fd0\u7b97\u4e2d\u4e5f\u662f\u4e0d\u53ef\u6216\u7f3a\u7684\u3002\u5728Python\u4e2d\uff0cand<\/code>\u3001or<\/code>\u3001not<\/code>\u662f\u7528\u4e8e\u903b\u8f91\u8fd0\u7b97\u7684\u5173\u952e\u5b57\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
            a = True<\/p>\n
            b = False<\/p>\n
            print(a and b)  # \u8f93\u51fa\uff1aFalse<\/p>\n
            print(a or b)   # \u8f93\u51fa\uff1aTrue<\/p>\n
            print(not a)    # \u8f93\u51fa\uff1aFalse<\/p>\n
            <\/code><\/pre>\n<\/p>\n
            \u4e09\u3001\u5e03\u5c14\u503c\u4e0e\u5176\u4ed6\u6570\u636e\u7c7b\u578b\u7684\u6bd4\u8f83<\/p>\n<\/p>\n
            \u5728Python\u4e2d\uff0c\u5e03\u5c14\u503c\u53ef\u4ee5\u4e0e\u5176\u4ed6\u6570\u636e\u7c7b\u578b\u8fdb\u884c\u6bd4\u8f83\u3002Python\u4f1a\u81ea\u52a8\u5c06\u5e03\u5c14\u503c\u8f6c\u6362\u4e3a\u6570\u5b57\u8fdb\u884c\u6bd4\u8f83\uff0c\u5176\u4e2dTrue<\/code>\u7b49\u540c\u4e8e1<\/code>\uff0cFalse<\/code>\u7b49\u540c\u4e8e0<\/code>\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
            print(True == 1)   # \u8f93\u51fa\uff1aTrue<\/p>\n
            print(False == 0)  # \u8f93\u51fa\uff1aTrue<\/p>\n
            print(True + 1)    # \u8f93\u51fa\uff1a2<\/p>\n
            print(False + 1)   # \u8f93\u51fa\uff1a1<\/p>\n
            <\/code><\/pre>\n<\/p>\n
            \u56db\u3001\u5e03\u5c14\u503c\u7684\u5e94\u7528\u573a\u666f<\/p>\n<\/p>\n
              \n
            1. \u6570\u636e\u9a8c\u8bc1<\/li>\n<\/ol>\n
              \u5728\u6570\u636e\u9a8c\u8bc1\u8fc7\u7a0b\u4e2d\uff0c\u5e03\u5c14\u503c\u901a\u5e38\u7528\u4e8e\u68c0\u67e5\u6570\u636e\u662f\u5426\u6ee1\u8db3\u67d0\u4e9b\u6761\u4ef6\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
              def is_positive(number):<\/p>\n
                  return number > 0<\/p>\n
              result = is_positive(10)<\/p>\n
              print("Is positive:", result)  # \u8f93\u51fa\uff1aIs positive: True<\/p>\n
              <\/code><\/pre>\n<\/p>\n
                \n
              1. \u9519\u8bef\u5904\u7406<\/li>\n<\/ol>\n
                \u5728\u9519\u8bef\u5904\u7406\u8fc7\u7a0b\u4e2d\uff0c\u5e03\u5c14\u503c\u53ef\u4ee5\u7528\u4e8e\u5224\u65ad\u67d0\u4e2a\u64cd\u4f5c\u662f\u5426\u6210\u529f\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
                def divide(a, b):<\/p>\n
                    if b == 0:<\/p>\n
                        return False<\/p>\n
                    return a \/ b<\/p>\n
                result = divide(10, 2)<\/p>\n
                if result:<\/p>\n
                    print("Division result:", result)<\/p>\n
                else:<\/p>\n
                    print("Error: Division by zero")<\/p>\n
                <\/code><\/pre>\n<\/p>\n
                \u4e94\u3001\u5e03\u5c14\u503c\u7684\u6700\u4f73\u5b9e\u8df5<\/p>\n<\/p>\n
                  \n
                1. \u4f7f\u7528\u660e\u786e\u7684\u5e03\u5c14\u503c<\/li>\n<\/ol>\n
                  \u5728\u7f16\u5199\u4ee3\u7801\u65f6\uff0c\u5e94\u8be5\u5c3d\u91cf\u4f7f\u7528\u660e\u786e\u7684\u5e03\u5c14\u503cTrue<\/code>\u548cFalse<\/code>\uff0c\u4ee5\u63d0\u9ad8\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
                  is_avAI<\/a>lable = True  # \u597d<\/p>\n
                  is_available = 1     # \u4e0d\u597d<\/p>\n
                  <\/code><\/pre>\n<\/p>\n
                    \n
                  1. \u907f\u514d\u4f7f\u7528\u6570\u5b57\u4ee3\u66ff\u5e03\u5c14\u503c<\/li>\n<\/ol>\n
                    \u867d\u7136\u5728Python\u4e2d\uff0cTrue<\/code>\u7b49\u540c\u4e8e1<\/code>\uff0cFalse<\/code>\u7b49\u540c\u4e8e0<\/code>\uff0c\u4f46\u5728\u4ee3\u7801\u4e2d\u5e94\u8be5\u907f\u514d\u4f7f\u7528\u6570\u5b57\u4ee3\u66ff\u5e03\u5c14\u503c\uff0c\u4ee5\u514d\u5f15\u8d77\u6df7\u6dc6\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
                    if is_valid:  # \u597d<\/p>\n
                    if is_valid == 1:  # \u4e0d\u597d<\/p>\n
                    <\/code><\/pre>\n<\/p>\n
                      \n
                    1. \u4f7f\u7528\u77ed\u8def\u8fd0\u7b97<\/li>\n<\/ol>\n
                      \u5728\u8fdb\u884c\u903b\u8f91\u8fd0\u7b97\u65f6\uff0c\u53ef\u4ee5\u5229\u7528\u77ed\u8def\u8fd0\u7b97\u6765\u63d0\u9ad8\u4ee3\u7801\u7684\u6548\u7387\u3002\u5728and<\/code>\u8fd0\u7b97\u4e2d\uff0c\u5982\u679c\u7b2c\u4e00\u4e2a\u6761\u4ef6\u4e3aFalse<\/code>\uff0c\u5219\u4e0d\u4f1a\u8ba1\u7b97\u7b2c\u4e8c\u4e2a\u6761\u4ef6\u3002\u5728or<\/code>\u8fd0\u7b97\u4e2d\uff0c\u5982\u679c\u7b2c\u4e00\u4e2a\u6761\u4ef6\u4e3aTrue<\/code>\uff0c\u5219\u4e0d\u4f1a\u8ba1\u7b97\u7b2c\u4e8c\u4e2a\u6761\u4ef6\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
                      # \u4f7f\u7528\u77ed\u8def\u8fd0\u7b97<\/p>\n
                      if user is not None and user.is_active:<\/p>\n
                          print("User is active")<\/p>\n
                      \u4f7f\u7528\u77ed\u8def\u8fd0\u7b97<\/strong><\/h2>\n
                      if user is None or not user.is_active:<\/p>\n
                          print("User is not active")<\/p>\n
                      <\/code><\/pre>\n<\/p>\n
                      \u516d\u3001\u5e03\u5c14\u503c\u5728Python\u6807\u51c6\u5e93\u4e2d\u7684\u5e94\u7528<\/p>\n<\/p>\n
                        \n
                      1. all()<\/code>\u51fd\u6570<\/li>\n<\/ol>\n
                        all()<\/code>\u51fd\u6570\u7528\u4e8e\u5224\u65ad\u4e00\u4e2a\u53ef\u8fed\u4ee3\u5bf9\u8c61\u4e2d\u7684\u6240\u6709\u5143\u7d20\u662f\u5426\u90fd\u4e3aTrue<\/code>\u3002\u5982\u679c\u662f\uff0c\u8fd4\u56deTrue<\/code>\uff1b\u5426\u5219\uff0c\u8fd4\u56deFalse<\/code>\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
                        numbers = [1, 2, 3, 4, 5]<\/p>\n
                        print(all(n > 0 for n in numbers))  # \u8f93\u51fa\uff1aTrue<\/p>\n
                        <\/code><\/pre>\n<\/p>\n
                          \n
                        1. any()<\/code>\u51fd\u6570<\/li>\n<\/ol>\n
                          any()<\/code>\u51fd\u6570\u7528\u4e8e\u5224\u65ad\u4e00\u4e2a\u53ef\u8fed\u4ee3\u5bf9\u8c61\u4e2d\u662f\u5426\u81f3\u5c11\u6709\u4e00\u4e2a\u5143\u7d20\u4e3aTrue<\/code>\u3002\u5982\u679c\u662f\uff0c\u8fd4\u56deTrue<\/code>\uff1b\u5426\u5219\uff0c\u8fd4\u56deFalse<\/code>\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
                          numbers = [0, 0, 0, 1, 0]<\/p>\n
                          print(any(n > 0 for n in numbers))  # \u8f93\u51fa\uff1aTrue<\/p>\n
                          <\/code><\/pre>\n<\/p>\n
                            \n
                          1. filter()<\/code>\u51fd\u6570<\/li>\n<\/ol>\n
                            filter()<\/code>\u51fd\u6570\u7528\u4e8e\u8fc7\u6ee4\u53ef\u8fed\u4ee3\u5bf9\u8c61\u4e2d\u7684\u5143\u7d20\uff0c\u6839\u636e\u6307\u5b9a\u7684\u6761\u4ef6\u8fd4\u56de\u4e00\u4e2a\u65b0\u7684\u53ef\u8fed\u4ee3\u5bf9\u8c61\u3002\u6761\u4ef6\u901a\u5e38\u662f\u4e00\u4e2a\u8fd4\u56de\u5e03\u5c14\u503c\u7684\u51fd\u6570\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
                            numbers = [0, 1, 2, 3, 4, 5]<\/p>\n
                            even_numbers = filter(lambda x: x % 2 == 0, numbers)<\/p>\n
                            print(list(even_numbers))  # \u8f93\u51fa\uff1a[0, 2, 4]<\/p>\n
                            <\/code><\/pre>\n<\/p>\n
                            \u4e03\u3001\u5e03\u5c14\u503c\u5728\u6570\u636e\u5206\u6790\u4e2d\u7684\u5e94\u7528<\/p>\n<\/p>\n
                              \n
                            1. \u6570\u636e\u7b5b\u9009<\/li>\n<\/ol>\n
                              \u5728\u6570\u636e\u5206\u6790\u4e2d\uff0c\u5e03\u5c14\u503c\u5e38\u7528\u4e8e\u7b5b\u9009\u6570\u636e\u3002\u4f8b\u5982\uff0c\u4f7f\u7528Pandas\u5e93\u53ef\u4ee5\u6839\u636e\u6761\u4ef6\u7b5b\u9009\u6570\u636e\uff1a<\/p>\n<\/p>\n
                              import pandas as pd<\/p>\n
                              data = {'name': ['Alice', 'Bob', 'Charlie'],<\/p>\n
                                      'age': [25, 30, 35]}<\/p>\n
                              df = pd.DataFrame(data)<\/p>\n
                              \u7b5b\u9009\u5e74\u9f84\u5927\u4e8e30\u7684\u884c<\/strong><\/h2>\n
                              filtered_df = df[df['age'] > 30]<\/p>\n
                              print(filtered_df)<\/p>\n
                              <\/code><\/pre>\n<\/p>\n
                                \n
                              1. \u7f3a\u5931\u503c\u5904\u7406<\/li>\n<\/ol>\n
                                \u5728\u6570\u636e\u5904\u7406\u4e2d\uff0c\u5e03\u5c14\u503c\u4e5f\u53ef\u4ee5\u7528\u4e8e\u5224\u65ad\u548c\u5904\u7406\u7f3a\u5931\u503c\u3002\u4f8b\u5982\uff0c\u4f7f\u7528Pandas\u5e93\u53ef\u4ee5\u67e5\u627e\u7f3a\u5931\u503c\uff1a<\/p>\n<\/p>\n
                                import pandas as pd<\/p>\n
                                data = {'name': ['Alice', 'Bob', None],<\/p>\n
                                        'age': [25, None, 35]}<\/p>\n
                                df = pd.DataFrame(data)<\/p>\n
                                \u67e5\u627e\u7f3a\u5931\u503c<\/strong><\/h2>\n
                                print(df.isnull())<\/p>\n
                                <\/code><\/pre>\n<\/p>\n
                                \u516b\u3001\u5e03\u5c14\u503c\u5728\u673a\u5668\u5b66\u4e60<\/a>\u4e2d\u7684\u5e94\u7528<\/p>\n<\/p>\n
                                  \n
                                1. \u7279\u5f81\u9009\u62e9<\/li>\n<\/ol>\n
                                  \u5728\u673a\u5668\u5b66\u4e60\u4e2d\uff0c\u5e03\u5c14\u503c\u53ef\u4ee5\u7528\u4e8e\u7279\u5f81\u9009\u62e9\u3002\u4f8b\u5982\uff0c\u4f7f\u7528Scikit-learn\u5e93\u53ef\u4ee5\u6839\u636e\u5e03\u5c14\u6761\u4ef6\u9009\u62e9\u7279\u5f81\uff1a<\/p>\n<\/p>\n
                                  from sklearn.feature_selection import SelectKBest, chi2<\/p>\n
                                  from sklearn.datasets import load_iris<\/p>\n
                                  data = load_iris()<\/p>\n
                                  X, y = data.data, data.target<\/p>\n
                                  \u9009\u62e9\u6700\u91cd\u8981\u7684\u4e24\u4e2a\u7279\u5f81<\/strong><\/h2>\n
                                  selector = SelectKBest(score_func=chi2, k=2)<\/p>\n
                                  X_new = selector.fit_transform(X, y)<\/p>\n
                                  print(X_new)<\/p>\n
                                  <\/code><\/pre>\n<\/p>\n
                                    \n
                                  1. \u6a21\u578b\u8bc4\u4f30<\/li>\n<\/ol>\n
                                    \u5728\u6a21\u578b\u8bc4\u4f30\u4e2d\uff0c\u5e03\u5c14\u503c\u53ef\u4ee5\u7528\u4e8e\u8bc4\u4f30\u6a21\u578b\u7684\u6027\u80fd\u3002\u4f8b\u5982\uff0c\u8ba1\u7b97\u9884\u6d4b\u7ed3\u679c\u4e0e\u771f\u5b9e\u7ed3\u679c\u7684\u51c6\u786e\u7387\uff1a<\/p>\n<\/p>\n
                                    from sklearn.metrics import accuracy_score<\/p>\n
                                    y_true = [0, 1, 1, 0, 1]<\/p>\n
                                    y_pred = [0, 1, 0, 0, 1]<\/p>\n
                                    \u8ba1\u7b97\u51c6\u786e\u7387<\/strong><\/h2>\n
                                    accuracy = accuracy_score(y_true, y_pred)<\/p>\n
                                    print("Accuracy:", accuracy)<\/p>\n
                                    <\/code><\/pre>\n<\/p>\n
                                    \u4e5d\u3001\u603b\u7ed3<\/p>\n<\/p>\n
                                    Python\u4e2d\u7684\u5e03\u5c14\u503c\u662f\u4e00\u4e2a\u975e\u5e38\u91cd\u8981\u7684\u6982\u5ff5\uff0c\u5176\u5728\u6761\u4ef6\u5224\u65ad\u3001\u5faa\u73af\u63a7\u5236\u3001\u903b\u8f91\u8fd0\u7b97\u7b49\u65b9\u9762\u90fd\u6709\u7740\u5e7f\u6cdb\u7684\u5e94\u7528\u3002\u5728\u7f16\u5199\u4ee3\u7801\u65f6\uff0c\u5e94\u8be5\u5c3d\u91cf\u4f7f\u7528\u660e\u786e\u7684\u5e03\u5c14\u503c\uff0c\u4ee5\u63d0\u9ad8\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\u548c\u53ef\u7ef4\u62a4\u6027\u3002\u5e03\u5c14\u503c\u4e0d\u4ec5\u5728\u6807\u51c6\u5e93\u4e2d\u6709\u7740\u91cd\u8981\u7684\u5e94\u7528\uff0c\u5728\u6570\u636e\u5206\u6790\u548c\u673a\u5668\u5b66\u4e60\u7b49\u9886\u57df\u4e2d\u4e5f\u626e\u6f14\u7740\u5173\u952e\u89d2\u8272\u3002\u901a\u8fc7\u5408\u7406\u8fd0\u7528\u5e03\u5c14\u503c\uff0c\u53ef\u4ee5\u7f16\u5199\u51fa\u66f4\u9ad8\u6548\u3001\u66f4\u6613\u8bfb\u7684Python\u4ee3\u7801\u3002<\/p>\n<\/p>\n
                                    \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
                                     \u5728Python\u4e2d\uff0cTrue\u548cFalse\u7684\u4f7f\u7528\u6709\u4ec0\u4e48\u533a\u522b\uff1f<\/strong>
                                    \u5728Python\u4e2d\uff0cTrue\u662f\u4e00\u4e2a\u5e03\u5c14\u503c\uff0c\u8868\u793a\u771f\uff0c\u800cFalse\u5219\u8868\u793a\u5047\u3002\u5b83\u4eec\u662fPython\u7684\u5173\u952e\u5b57\uff0c\u533a\u5206\u5927\u5c0f\u5199\uff0c\u56e0\u6b64\u5fc5\u987b\u5927\u5199\u3002True\u548cFalse\u4e0d\u4ec5\u7528\u4e8e\u6761\u4ef6\u8bed\u53e5\u4e2d\uff0c\u4e5f\u53ef\u4ee5\u4f5c\u4e3a\u5176\u4ed6\u6570\u636e\u7ed3\u6784\uff08\u5982\u5217\u8868\u3001\u5b57\u5178\u7b49\uff09\u7684\u503c\u3002\u7406\u89e3\u8fd9\u4e24\u8005\u7684\u533a\u522b\u5bf9\u4e8e\u7f16\u5199\u6709\u6548\u7684\u903b\u8f91\u5224\u65ad\u4ee3\u7801\u81f3\u5173\u91cd\u8981\u3002<\/p>\n
                                    \u5982\u4f55\u5728Python\u4e2d\u5c06\u5b57\u7b26\u4e32\u8f6c\u6362\u4e3a\u5e03\u5c14\u503c\uff1f<\/strong>
                                    \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684bool()<\/code>\u51fd\u6570\u5c06\u5b57\u7b26\u4e32\u8f6c\u6362\u4e3a\u5e03\u5c14\u503c\u3002\u4efb\u4f55\u975e\u7a7a\u5b57\u7b26\u4e32\u90fd\u4f1a\u88ab\u8f6c\u6362\u4e3aTrue\uff0c\u800c\u7a7a\u5b57\u7b26\u4e32\u5219\u4f1a\u8f6c\u6362\u4e3aFalse\u3002\u4f8b\u5982\uff0cbool("Hello")<\/code>\u5c06\u8fd4\u56deTrue\uff0c\u800cbool("")<\/code>\u5219\u8fd4\u56deFalse\u3002\u8fd9\u4e00\u7279\u6027\u5728\u5904\u7406\u7528\u6237\u8f93\u5165\u6216\u6570\u636e\u9a8c\u8bc1\u65f6\u975e\u5e38\u5b9e\u7528\u3002<\/p>\n
                                    \u5728Python\u4e2d\uff0c\u5982\u4f55\u6709\u6548\u5730\u4f7f\u7528\u5e03\u5c14\u8fd0\u7b97\u7b26\uff1f<\/strong>
                                    \u5e03\u5c14\u8fd0\u7b97\u7b26\uff08\u5982and<\/code>\u3001or<\/code>\u548cnot<\/code>\uff09\u53ef\u4ee5\u5728Python\u4e2d\u7ed3\u5408\u591a\u4e2a\u6761\u4ef6\u8fdb\u884c\u590d\u6742\u7684\u903b\u8f91\u5224\u65ad\u3002\u4f7f\u7528\u8fd9\u4e9b\u8fd0\u7b97\u7b26\u65f6\uff0c\u786e\u4fdd\u7406\u89e3\u6bcf\u4e2a\u8fd0\u7b97\u7b26\u7684\u4f18\u5148\u7ea7\u548c\u8fd4\u56de\u503c\u3002\u4f8b\u5982\uff0ca and b<\/code>\u53ea\u6709\u5728a\u548cb\u90fd\u4e3aTrue\u65f6\u624d\u4e3aTrue\uff1ba or b<\/code>\u53ea\u8981\u5176\u4e2d\u4e00\u4e2a\u4e3aTrue\u5c31\u8fd4\u56deTrue\uff1b\u800cnot a<\/code>\u5219\u4f1a\u53cd\u8f6ca\u7684\u5e03\u5c14\u503c\u3002\u719f\u7ec3\u8fd0\u7528\u8fd9\u4e9b\u8fd0\u7b97\u7b26\uff0c\u53ef\u4ee5\u4f7f\u4ee3\u7801\u66f4\u52a0\u7b80\u6d01\u548c\u9ad8\u6548\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u8868\u8fbe\u5e03\u5c14\u503c\u201c\u771f\u201d\u53ef\u4ee5\u4f7f\u7528\u5173\u952e\u5b57True\u3001\u6570\u5b571\u3001\u4ee5\u53ca\u4efb\u4f55\u975e\u96f6\u3001\u975e\u7a7a\u5bf9\u8c61\u3002\u5728\u6761\u4ef6\u5224\u65ad\u3001\u903b\u8f91\u8fd0\u7b97 […]","protected":false},"author":3,"featured_media":945564,"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\/945560"}],"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=945560"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/945560\/revisions"}],"predecessor-version":[{"id":945565,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/945560\/revisions\/945565"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/945564"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=945560"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=945560"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=945560"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}