{"id":1007469,"date":"2024-12-27T10:53:51","date_gmt":"2024-12-27T02:53:51","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1007469.html"},"modified":"2024-12-27T10:53:54","modified_gmt":"2024-12-27T02:53:54","slug":"python%e4%b8%ad%e5%a6%82%e4%bd%95%e4%bd%bf%e7%94%a8%e6%8c%87%e6%95%b0","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1007469.html","title":{"rendered":"python\u4e2d\u5982\u4f55\u4f7f\u7528\u6307\u6570"},"content":{"rendered":"

\"python\u4e2d\u5982\u4f55\u4f7f\u7528\u6307\u6570\"<\/p>\n

\u5728Python\u4e2d\u4f7f\u7528\u6307\u6570\u975e\u5e38\u7b80\u5355\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684\u6307\u6570\u8fd0\u7b97\u7b26<\/strong><\/code>\u3001math<\/code>\u6a21\u5757\u4e2d\u7684exp()<\/code>\u51fd\u6570\u3001numpy<\/code>\u5e93\u4e2d\u7684numpy.exp()<\/code>\u51fd\u6570\u3002\u5176\u4e2d\uff0c<\/strong>\u6307\u6570\u8fd0\u7b97\u7b26<strong><\/code>\u662f\u6700\u76f4\u63a5\u7684\u65b9\u6cd5\uff0c\u53ef\u4ee5\u7528\u4e8e\u57fa\u672c\u7684\u6307\u6570\u8fd0\u7b97\uff1bmath.exp()<\/code>\u9002\u5408\u7528\u4e8e\u6807\u91cf\u7684\u6307\u6570\u8ba1\u7b97\uff0c\u5c24\u5176\u662f\u5728\u79d1\u5b66\u8ba1\u7b97\u4e2d\u9700\u8981\u8ba1\u7b97\u81ea\u7136\u6307\u6570\u65f6\uff1b\u800cnumpy.exp()<\/code>\u5219\u975e\u5e38\u9002\u5408\u7528\u4e8e\u5904\u7406\u6570\u7ec4\u548c\u77e9\u9635\u7684\u6307\u6570\u8fd0\u7b97<\/strong>\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u65b9\u6cd5\u7684\u4f7f\u7528\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u6307\u6570\u8fd0\u7b97\u7b26 <\/code><\/p>\n<\/p>\n

Python\u4e2d\u7684\u6307\u6570\u8fd0\u7b97\u7b26<\/code>\u662f\u7528\u4e8e\u8fdb\u884c\u5e42\u8fd0\u7b97\u7684\u57fa\u7840\u5de5\u5177\u3002\u5b83\u53ef\u4ee5\u7528\u4e8e\u6574\u6570\u3001\u6d6e\u70b9\u6570\u7b49\u5404\u79cd\u6570\u636e\u7c7b\u578b\u3002<\/p>\n<\/p>\n

    \n
  1. \n

    \u57fa\u672c\u7528\u6cd5<\/strong><\/p>\n<\/p>\n

    <\/code>\u8fd0\u7b97\u7b26\u53ef\u4ee5\u76f4\u63a5\u7528\u4e8e\u4e24\u4e2a\u6570\u5b57\u4e4b\u95f4\uff0c\u8868\u793a\u7b2c\u4e00\u4e2a\u6570\u5b57\u662f\u5e95\u6570\uff0c\u7b2c\u4e8c\u4e2a\u6570\u5b57\u662f\u6307\u6570\u3002\u4f8b\u5982\uff0c\u8ba1\u7b972\u76843\u6b21\u65b9\u53ef\u4ee5\u4f7f\u7528\u5982\u4e0b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n

    result = 2  3<\/p>\n
    print(result)  # \u8f93\u51fa\u4e3a8<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u79cd\u65b9\u6cd5\u7b80\u5355\u76f4\u89c2\uff0c\u9002\u7528\u4e8e\u5927\u591a\u6570\u60c5\u51b5\u4e0b\u7684\u5e42\u8fd0\u7b97\u3002<\/p>\n<\/p>\n<\/li>\n
  2. \n
    \u5904\u7406\u8d1f\u6307\u6570<\/strong><\/p>\n<\/p>\n
    <\/code>\u8fd0\u7b97\u7b26\u4e5f\u53ef\u4ee5\u5904\u7406\u8d1f\u6307\u6570\uff0c\u8fd9\u5c06\u8fd4\u56de\u5e95\u6570\u7684\u5012\u6570\u7684\u5e42\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
    result = 2  -3<\/p>\n
    print(result)  # \u8f93\u51fa\u4e3a0.125<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u6bb5\u4ee3\u7801\u8868\u793a\u8ba1\u7b97 ( \\frac{1}{2^3} )\u3002<\/p>\n<\/p>\n<\/li>\n
  3. \n
    \u4e0e\u5176\u4ed6\u8fd0\u7b97\u7b26\u6df7\u5408\u4f7f\u7528<\/strong><\/p>\n<\/p>\n
    <\/code>\u8fd0\u7b97\u7b26\u53ef\u4ee5\u4e0e\u5176\u4ed6\u7b97\u672f\u8fd0\u7b97\u7b26\u4e00\u8d77\u4f7f\u7528\uff0c\u6ce8\u610f\u8fd0\u7b97\u7b26\u7684\u4f18\u5148\u7ea7\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
    result = 2 + 3  2 * 4<\/p>\n
    print(result)  # \u8f93\u51fa\u4e3a38<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u91cc\uff0c3\u7684\u5e73\u65b9\u5148\u8ba1\u7b97\uff0c\u7136\u540e\u518d\u4e58\u4ee54\uff0c\u6700\u540e\u52a0\u4e0a2\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
    \u4e8c\u3001math.exp()<\/code>\u51fd\u6570<\/p>\n<\/p>\n
    math<\/code>\u6a21\u5757\u662fPython\u6807\u51c6\u5e93\u7684\u4e00\u90e8\u5206\uff0c\u63d0\u4f9b\u4e86\u8bb8\u591a\u7528\u4e8e\u6570\u5b66\u8fd0\u7b97\u7684\u51fd\u6570\uff0c\u5176\u4e2d\u5305\u62ecexp()<\/code>\u51fd\u6570\uff0c\u7528\u4e8e\u8ba1\u7b97\u81ea\u7136\u6307\u6570\u3002<\/p>\n<\/p>\n
      \n
    1. \n
      \u81ea\u7136\u6307\u6570\u8ba1\u7b97<\/strong><\/p>\n<\/p>\n
      math.exp()<\/code>\u7528\u4e8e\u8ba1\u7b97\u4ee5e\u4e3a\u5e95\u7684\u6307\u6570\uff0c\u4f8b\u5982\u8ba1\u7b97 ( e^x )\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u4f8b\u5b50\uff1a<\/p>\n<\/p>\n
      import math<\/p>\n
      result = math.exp(1)<\/p>\n
      print(result)  # \u8f93\u51fa\u4e3a2.718281828459045\uff0c\u63a5\u8fd1\u6570\u5b66\u5e38\u6570e<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u8fd9\u4e2a\u51fd\u6570\u975e\u5e38\u9002\u5408\u4e8e\u79d1\u5b66\u8ba1\u7b97\u548c\u9700\u8981\u8ba1\u7b97\u81ea\u7136\u6307\u6570\u7684\u573a\u5408\u3002<\/p>\n<\/p>\n<\/li>\n
    2. \n
      \u7ed3\u5408\u5176\u4ed6\u6570\u5b66\u51fd\u6570<\/strong><\/p>\n<\/p>\n
      math.exp()<\/code>\u53ef\u4ee5\u4e0e\u5176\u4ed6\u6570\u5b66\u51fd\u6570\u7ed3\u5408\u4f7f\u7528\uff0c\u4ee5\u5b8c\u6210\u66f4\u590d\u6742\u7684\u8ba1\u7b97\u3002\u4f8b\u5982\uff0c\u8ba1\u7b97 ( e^{\\sin(x)} )\uff1a<\/p>\n<\/p>\n
      import math<\/p>\n
      x = math.pi \/ 2<\/p>\n
      result = math.exp(math.sin(x))<\/p>\n
      print(result)  # \u8f93\u51fa\u4e3a2.718281828459045<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u5148\u8ba1\u7b97sin(x)<\/code>\uff0c\u7136\u540e\u518d\u8ba1\u7b97\u5b83\u7684\u6307\u6570\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
      \u4e09\u3001numpy.exp()<\/code>\u51fd\u6570<\/p>\n<\/p>\n
      \u5bf9\u4e8e\u9700\u8981\u8fdb\u884c\u5927\u91cf\u6570\u636e\u8ba1\u7b97\u7684\u573a\u5408\uff0c\u7279\u522b\u662f\u5728\u5904\u7406\u6570\u7ec4\u548c\u77e9\u9635\u65f6\uff0cnumpy<\/code>\u5e93\u4e2d\u7684exp()<\/code>\u51fd\u6570\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u5de5\u5177\u3002<\/p>\n<\/p>\n
        \n
      1. \n
        \u6570\u7ec4\u548c\u77e9\u9635\u6307\u6570\u8ba1\u7b97<\/strong><\/p>\n<\/p>\n
        numpy.exp()<\/code>\u53ef\u4ee5\u76f4\u63a5\u5bf9\u6570\u7ec4\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\u8fdb\u884c\u6307\u6570\u8ba1\u7b97\uff0c\u8fd9\u5bf9\u4e8e\u79d1\u5b66\u8ba1\u7b97\u548c\u6570\u636e\u5206\u6790\u975e\u5e38\u6709\u7528\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
        import numpy as np<\/p>\n
        arr = np.array([1, 2, 3])<\/p>\n
        result = np.exp(arr)<\/p>\n
        print(result)  # \u8f93\u51fa\u4e3a[  2.71828183,   7.3890561 ,  20.08553692]<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u8fd9\u6bb5\u4ee3\u7801\u8ba1\u7b97\u4e86\u6570\u7ec4\u4e2d\u6bcf\u4e2a\u5143\u7d20\u7684\u81ea\u7136\u6307\u6570\u3002<\/p>\n<\/p>\n<\/li>\n
      2. \n
        \u4e0e\u5176\u4ed6numpy<\/code>\u51fd\u6570\u7ed3\u5408\u4f7f\u7528<\/strong><\/p>\n<\/p>\n
        numpy.exp()<\/code>\u53ef\u4ee5\u4e0e\u5176\u4ed6numpy<\/code>\u51fd\u6570\u7ed3\u5408\u4f7f\u7528\uff0c\u4ee5\u5b9e\u73b0\u590d\u6742\u7684\u6570\u636e\u5904\u7406\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u8ba1\u7b97\u77e9\u9635\u7684\u6307\u6570\uff1a<\/p>\n<\/p>\n
        import numpy as np<\/p>\n
        matrix = np.array([[1, 2], [3, 4]])<\/p>\n
        result = np.exp(matrix)<\/p>\n
        print(result)<\/p>\n
        \u8f93\u51fa\u4e3a\uff1a<\/strong><\/h2>\n
        [[  2.71828183   7.3890561 ]<\/strong><\/h2>\n
         [ 20.08553692  54.59815003]]<\/strong><\/h2>\n
        <\/code><\/pre>\n<\/p>\n
        \u8fd9\u79cd\u529f\u80fd\u5728\u6570\u636e\u79d1\u5b66\u548c\u673a\u5668\u5b66\u4e60<\/a>\u4e2d\u975e\u5e38\u6709\u7528\u3002<\/p>\n<\/p>\n<\/li>\n
      3. \n
        \u6027\u80fd\u4f18\u52bf<\/strong><\/p>\n<\/p>\n
        \u76f8\u8f83\u4e8e\u9010\u4e2a\u5143\u7d20\u8ba1\u7b97\u6307\u6570\uff0cnumpy.exp()<\/code>\u5728\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u65f6\u5177\u6709\u660e\u663e\u7684\u6027\u80fd\u4f18\u52bf\uff0c\u56e0\u4e3a\u5b83\u5229\u7528\u4e86\u5e95\u5c42\u7684\u4f18\u5316\u6765\u52a0\u901f\u8ba1\u7b97\u3002\u56e0\u6b64\uff0c\u5728\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u65f6\uff0cnumpy<\/code>\u5e93\u662f\u4e00\u4e2a\u975e\u5e38\u63a8\u8350\u7684\u9009\u62e9\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
        \u56db\u3001\u5176\u4ed6\u76f8\u5173\u6307\u6570\u8fd0\u7b97<\/p>\n<\/p>\n
        \u9664\u4e86\u4ee5\u4e0a\u63d0\u5230\u7684\u57fa\u672c\u6307\u6570\u8fd0\u7b97\u65b9\u6cd5\uff0cPython\u4e2d\u8fd8\u6709\u4e00\u4e9b\u5176\u4ed6\u76f8\u5173\u7684\u6307\u6570\u8fd0\u7b97\u529f\u80fd\uff0c\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u4f7f\u7528\u3002<\/p>\n<\/p>\n
          \n
        1. \n
          cmath<\/code>\u6a21\u5757\u4e2d\u7684\u6307\u6570\u8fd0\u7b97<\/strong><\/p>\n<\/p>\n
          \u5bf9\u4e8e\u590d\u6570\u8fd0\u7b97\uff0cPython\u63d0\u4f9b\u4e86cmath<\/code>\u6a21\u5757\uff0c\u5176\u4e2d\u7684exp()<\/code>\u51fd\u6570\u53ef\u4ee5\u7528\u4e8e\u8ba1\u7b97\u590d\u6570\u7684\u6307\u6570\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
          import cmath<\/p>\n
          z = 1 + 2j<\/p>\n
          result = cmath.exp(z)<\/p>\n
          print(result)  # \u8f93\u51fa\u4e3a(-1.1312043837568135+2.4717266720048188j)<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u8fd9\u4e2a\u51fd\u6570\u9002\u7528\u4e8e\u5904\u7406\u590d\u6570\u7684\u573a\u5408\u3002<\/p>\n<\/p>\n<\/li>\n
        2. \n
          sympy<\/code>\u6a21\u5757\u4e2d\u7684\u7b26\u53f7\u6307\u6570\u8fd0\u7b97<\/strong><\/p>\n<\/p>\n
          sympy<\/code>\u662f\u4e00\u4e2a\u7528\u4e8e\u7b26\u53f7\u6570\u5b66\u8ba1\u7b97\u7684Python\u5e93\uff0c\u53ef\u4ee5\u8fdb\u884c\u7b26\u53f7\u6307\u6570\u8fd0\u7b97\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
          from sympy import symbols, exp<\/p>\n
          x = symbols('x')<\/p>\n
          expr = exp(x)<\/p>\n
          print(expr)  # \u8f93\u51fa\u4e3aexp(x)<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u8fd9\u5728\u9700\u8981\u8fdb\u884c\u7b26\u53f7\u63a8\u5bfc\u548c\u7b26\u53f7\u79ef\u5206\u65f6\u975e\u5e38\u6709\u7528\u3002<\/p>\n<\/p>\n<\/li>\n
        3. \n
          \u81ea\u5b9a\u4e49\u6307\u6570\u51fd\u6570<\/strong><\/p>\n<\/p>\n
          \u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u4f60\u53ef\u80fd\u9700\u8981\u5b9a\u4e49\u81ea\u5df1\u7684\u6307\u6570\u51fd\u6570\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528\u6cf0\u52d2\u7ea7\u6570\u6765\u8fd1\u4f3c\u8ba1\u7b97\u6307\u6570\u51fd\u6570\uff1a<\/p>\n<\/p>\n
          def custom_exp(x, terms=10):<\/p>\n
              result = 1.0<\/p>\n
              term = 1.0<\/p>\n
              for n in range(1, terms):<\/p>\n
                  term *= x \/ n<\/p>\n
                  result += term<\/p>\n
              return result<\/p>\n
          print(custom_exp(1))  # \u8fd1\u4f3c\u8f93\u51fae\u7684\u503c<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u7528\u4e8e\u5b66\u4e60\u548c\u7814\u7a76\u6307\u6570\u51fd\u6570\u7684\u6027\u8d28\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
          \u4e94\u3001\u5b9e\u9645\u5e94\u7528\u4e2d\u7684\u6307\u6570\u8fd0\u7b97<\/p>\n<\/p>\n
          \u6307\u6570\u8fd0\u7b97\u5728\u8bb8\u591a\u5b9e\u9645\u5e94\u7528\u4e2d\u626e\u6f14\u7740\u91cd\u8981\u89d2\u8272\uff0c\u5c24\u5176\u662f\u5728\u79d1\u5b66\u8ba1\u7b97\u3001\u91d1\u878d\u5206\u6790\u548c\u673a\u5668\u5b66\u4e60\u7b49\u9886\u57df\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5177\u4f53\u7684\u5e94\u7528\u573a\u666f\uff1a<\/p>\n<\/p>\n
            \n
          1. \n
            \u79d1\u5b66\u8ba1\u7b97<\/strong><\/p>\n<\/p>\n
            \u5728\u79d1\u5b66\u8ba1\u7b97\u4e2d\uff0c\u6307\u6570\u8fd0\u7b97\u88ab\u5e7f\u6cdb\u5e94\u7528\u4e8e\u8ba1\u7b97\u589e\u957f\u6a21\u578b\u3001\u8870\u51cf\u6a21\u578b\u548c\u6ce2\u52a8\u6a21\u578b\u3002\u4f8b\u5982\uff0c\u653e\u5c04\u6027\u8870\u53d8\u53ef\u4ee5\u7528\u6307\u6570\u51fd\u6570\u6765\u63cf\u8ff0\uff1a<\/p>\n<\/p>\n
            import math<\/p>\n
            def radioactive_decay(initial_amount, decay_constant, time):<\/p>\n
                return initial_amount * math.exp(-decay_constant * time)<\/p>\n
            print(radioactive_decay(100, 0.1, 5))  # \u8f93\u51fa\u4e3a60.653065971263345<\/p>\n
            <\/code><\/pre>\n<\/p>\n
            \u8fd9\u79cd\u6a21\u578b\u5728\u7269\u7406\u5b66\u548c\u5316\u5b66\u4e2d\u975e\u5e38\u5e38\u89c1\u3002<\/p>\n<\/p>\n<\/li>\n
          2. \n
            \u91d1\u878d\u5206\u6790<\/strong><\/p>\n<\/p>\n
            \u5728\u91d1\u878d\u5206\u6790\u4e2d\uff0c\u6307\u6570\u8fd0\u7b97\u7528\u4e8e\u8ba1\u7b97\u590d\u5229\u3001\u671f\u6743\u5b9a\u4ef7\u548c\u98ce\u9669\u7ba1\u7406\u3002\u4f8b\u5982\uff0c\u8ba1\u7b97\u5e74\u5316\u590d\u5229\uff1a<\/p>\n<\/p>\n
            def compound_interest(principal, rate, times, years):<\/p>\n
                return principal * (1 + rate \/ times)  (times * years)<\/p>\n
            print(compound_interest(1000, 0.05, 4, 5))  # \u8f93\u51fa\u4e3a1283.68<\/p>\n
            <\/code><\/pre>\n<\/p>\n
            \u8fd9\u79cd\u8ba1\u7b97\u5e2e\u52a9\u6295\u8d44\u8005\u9884\u6d4b\u672a\u6765\u6536\u76ca\u3002<\/p>\n<\/p>\n<\/li>\n
          3. \n
            \u673a\u5668\u5b66\u4e60<\/strong><\/p>\n<\/p>\n
            \u5728\u673a\u5668\u5b66\u4e60\u4e2d\uff0c\u6307\u6570\u8fd0\u7b97\u7528\u4e8e\u6fc0\u6d3b\u51fd\u6570\u3001\u635f\u5931\u51fd\u6570\u548c\u6b63\u5219\u5316\u3002\u4f8b\u5982\uff0csoftmax\u51fd\u6570\u7528\u4e8e\u5f52\u4e00\u5316\u5206\u7c7b\u5668\u7684\u8f93\u51fa\uff1a<\/p>\n<\/p>\n
            import numpy as np<\/p>\n
            def softmax(x):<\/p>\n
                e_x = np.exp(x - np.max(x))<\/p>\n
                return e_x \/ e_x.sum()<\/p>\n
            scores = [3.0, 1.0, 0.2]<\/p>\n
            print(softmax(scores))  # \u8f93\u51fa\u4e3a[0.8360188  0.11314284 0.05083836]<\/p>\n
            <\/code><\/pre>\n<\/p>\n
            \u8fd9\u79cd\u5e94\u7528\u5728\u795e\u7ecf\u7f51\u7edc\u548c\u6df1\u5ea6\u5b66\u4e60\u4e2d\u975e\u5e38\u666e\u904d\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
            \u901a\u8fc7\u672c\u6587\u7684\u8be6\u7ec6\u4ecb\u7ecd\uff0c\u76f8\u4fe1\u4f60\u5df2\u7ecf\u5bf9Python\u4e2d\u7684\u6307\u6570\u8fd0\u7b97\u6709\u4e86\u5168\u9762\u7684\u4e86\u89e3\u3002\u6839\u636e\u5177\u4f53\u7684\u5e94\u7528\u573a\u666f\uff0c\u9009\u62e9\u5408\u9002\u7684\u6307\u6570\u8fd0\u7b97\u65b9\u6cd5\uff0c\u5c06\u5e2e\u52a9\u4f60\u66f4\u9ad8\u6548\u5730\u89e3\u51b3\u95ee\u9898\u3002\u5728\u79d1\u5b66\u8ba1\u7b97\u3001\u91d1\u878d\u5206\u6790\u548c\u673a\u5668\u5b66\u4e60\u7b49\u9886\u57df\uff0c\u6307\u6570\u8fd0\u7b97\u90fd\u662f\u4e0d\u53ef\u6216\u7f3a\u7684\u5de5\u5177\u3002\u5e0c\u671b\u672c\u6587\u7684\u5185\u5bb9\u80fd\u591f\u5e2e\u52a9\u4f60\u5728Python\u7f16\u7a0b\u4e2d\u66f4\u597d\u5730\u5e94\u7528\u6307\u6570\u8fd0\u7b97\u3002<\/p>\n<\/p>\n
            \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
             \u5982\u4f55\u5728Python\u4e2d\u8fdb\u884c\u6307\u6570\u8fd0\u7b97\uff1f<\/strong>
            \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528<strong><\/code>\u8fd0\u7b97\u7b26\u8fdb\u884c\u6307\u6570\u8fd0\u7b97\u3002\u4f8b\u5982\uff0c2 <\/strong> 3<\/code>\u4f1a\u8fd4\u56de8\uff0c\u8fd9\u8868\u793a2\u76843\u6b21\u65b9\u3002\u6b64\u5916\uff0cpow()<\/code>\u51fd\u6570\u4e5f\u53ef\u4ee5\u5b9e\u73b0\u76f8\u540c\u7684\u529f\u80fd\uff0c\u5982pow(2, 3)<\/code>\u540c\u6837\u8fd4\u56de8\u3002\u8fd9\u4e24\u79cd\u65b9\u5f0f\u90fd\u975e\u5e38\u76f4\u89c2\uff0c\u9002\u5408\u4e0d\u540c\u7684\u7f16\u7a0b\u4e60\u60ef\u3002<\/p>\n
            Python\u4e2d\u4f7f\u7528\u6307\u6570\u65f6\u662f\u5426\u6709\u6027\u80fd\u8003\u8651\uff1f<\/strong>
            \u5728\u5904\u7406\u5927\u6570\u6216\u590d\u6742\u8ba1\u7b97\u65f6\uff0c\u4f7f\u7528**<\/code>\u8fd0\u7b97\u7b26\u548cpow()<\/code>\u51fd\u6570\u7684\u6027\u80fd\u53ef\u80fd\u4f1a\u6709\u6240\u4e0d\u540c\u3002\u4e00\u822c\u6765\u8bf4\uff0c\u5bf9\u4e8e\u8f83\u5c0f\u7684\u6570\uff0c\u4e8c\u8005\u7684\u6027\u80fd\u5dee\u5f02\u4e0d\u5927\u3002\u7136\u800c\uff0c\u5728\u5904\u7406\u975e\u5e38\u5927\u7684\u6570\u5b57\u65f6\uff0cpow()<\/code>\u51fd\u6570\u53ef\u4ee5\u63a5\u53d7\u7b2c\u4e09\u4e2a\u53c2\u6570\u7528\u4e8e\u53d6\u6a21\uff0c\u8fd9\u53ef\u4ee5\u63d0\u9ad8\u8ba1\u7b97\u6548\u7387\u5e76\u9632\u6b62\u6ea2\u51fa\u3002\u4e86\u89e3\u8fd9\u4e9b\u6027\u80fd\u7279\u70b9\u6709\u52a9\u4e8e\u9009\u62e9\u9002\u5408\u7684\u8fd0\u7b97\u65b9\u5f0f\u3002<\/p>\n
            Python\u652f\u6301\u54ea\u4e9b\u5176\u4ed6\u4e0e\u6307\u6570\u76f8\u5173\u7684\u6570\u5b66\u51fd\u6570\uff1f<\/strong>
            Python\u7684math<\/code>\u6a21\u5757\u63d0\u4f9b\u4e86\u4e00\u4e9b\u5f3a\u5927\u7684\u6570\u5b66\u51fd\u6570\uff0c\u4e0e\u6307\u6570\u8fd0\u7b97\u76f8\u5173\u7684\u51fd\u6570\u5305\u62ecmath.exp()<\/code>\u548cmath.log()<\/code>. math.exp(x)<\/code>\u7528\u4e8e\u8ba1\u7b97e\u7684x\u6b21\u65b9\uff0c\u800cmath.log(x, base)<\/code>\u53ef\u4ee5\u7528\u6765\u8ba1\u7b97\u4ee5base\u4e3a\u5e95\u7684x\u7684\u5bf9\u6570\u3002\u8fd9\u4e9b\u51fd\u6570\u4e3a\u9ad8\u7ea7\u6570\u5b66\u8fd0\u7b97\u63d0\u4f9b\u4e86\u66f4\u591a\u7684\u7075\u6d3b\u6027\u548c\u529f\u80fd\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u4f7f\u7528\u6307\u6570\u975e\u5e38\u7b80\u5355\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684\u6307\u6570\u8fd0\u7b97\u7b26<\/strong>\u3001math\u6a21\u5757\u4e2d\u7684e […]","protected":false},"author":3,"featured_media":1007480,"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\/1007469"}],"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=1007469"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1007469\/revisions"}],"predecessor-version":[{"id":1007483,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1007469\/revisions\/1007483"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1007480"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1007469"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1007469"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1007469"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}