# Create an array with random values values = array.array('i', [-40, 58, -69, -84, 51, 76, -12, 36]) # Make a new array with the absolute values absValues = array.array('i', [abs(value) for value in values]) # Output the results print("Original array values:\n", value...
长整型(long integers)- 不限大小的整数,整数最后是一个大写或小写的L。 浮点型(floating point real values)- 浮点型由整数部分与小数部分组成,浮点型也可以使用科学计数法表示(2.5e2 = 2.5 x 102 = 250) 复数(complex numbers)- 复数由实数部分和虚数部分构成,可以用a + bj,或者complex(a,b)表示,复数的...
print ('arctan: abs(x) should be <= 1.') exit(78) if x < 0 : print ('arctan: input must be >= 0.') exit(77) # Only non-negative values in this implementation. sum = x x_sq = x*x divisor = 3 last_dividend = x multiplier = -1 getcontext().prec += 2 # extra dig...
store floating-point values can vary across machines, and Python only prints a decimal approximation to the true decimal value of the binary approximation stored by the machine. On most machines, if Python were to print the true decimal value of the binary approximation stored for 0.1, it would...
1/10 is not exactly representable as a binary fraction. Since at least 2000, almost all machines use IEEE 754 binary floating-point arithmetic, and almost all platforms map Python floats to IEEE 754 binary64 “double precision” values. IEEE 754 binary64 values contain 53 bits of precision, ...
浮点型(floating point real values) - 浮点型由整数部分与小数部分组成,浮点型也可以使用科学计数法表示(2.5e2 = 2.5 x 102 = 250) 复数(complex numbers) - 复数由实数部分和虚数部分构成,可以用a + bj,或者complex(a,b)表示, 复数的实部a和虚部b都是浮点型。
Specifies which converter the C engine should use for floating-point values. The options are None for the ordinary converter, high for the high-precision converter, and round_trip for the round-trip converter. 指定 lineterminator: str (length 1), default None ...
浮点型(floating point real values) - 浮点型由整数部分与小数部分组成,浮点型也可以使用科学计数法表示(2.5e2 = 2.5 x 102 = 250) 复数(complex numbers) - 复数由实数部分和虚数部分构成,可以用a + bj,或者complex(a,b)表示, 复数的实部a和虚部b都是浮点型。int...
In programming, a float number is a number with a decimal point, whereas an integer number is a whole number without a decimal point. For example, 3.14 is a float number, while 42 is an integer number. Floats can represent fractional values with greater precision, while integers are limited...
（双精度为第13-64位，共52位，算上隐含的1.xxx，共有53位精度）Floating Point Components 参见IEEE...