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How to randomly generate a credit card number using Python
This example describes how to randomly generate a credit card number using Python. Share it with you for your reference. The specific analysis is as follows:
This Python code generates a random credit card
P1223Mason Number accepted Tags: NOIP universal group 2003[Display label]DescribeThe prime number of a shape such as 2^p-1 is called Mason, at which point P must also be a prime. But the reverse is not necessarily, that is, if P is a prime
Topic Content: Find the nth number of Moenissen. P is prime and M is prime, and satisfies the equation m=2**p-1, then the M is called Moenissen number. For example, p=5,m=2**p-1=31,5 and 31 are primes, so 31 is a Moenissen number.
input Format: Enter with the input () funct
version, integers are also divided into general integers (32-bit) and long integers (infinite precision), with long integers ending in L. With the Python3, there is only one form of integer, with infinite precision.
Of course, the integers in Python also have binary (0bxxxxxxxx), octal (0oxxxxxxxx), and hexadecimal (0x xxxxxxxx) forms.
Conversion of decimal number to other binary:
S=16print (Bin (s)) prin
number from a set that increments by the specified base number within the specified range. The default value of the base number is 1.
Random ()
The next real number is randomly generated within the range of [0, 1.
Seed ([x])
Change the seed of the random nu
seeding seed of the random number generator. If you don't know how it works, you don't have to specifically set Seed,python to help you choose Seed.
Shuffle (LST)
Randomly sort all elements of a sequence
Uniform (x, Y)
Randomly generates the next real number, which is within the
Python random number function
Random numbers can be used in mathematics, games, security and other fields, but also often embedded in the algorithm to improve the efficiency of the algorithm and improve the security of the program.
Python contains the following common random number
Python's ability to generate random numbers is implemented in the random module. A pseudo-random number generator with various distributions is implementedThe module can generate 0 to 1 floating-point random numbers, and can be randomly selected in a sequence. The resulting random number can be evenly distributed. Gaussian distribution, logarithmic normal distrib
by Dolphin, beijing,201507120x00 backgroundRecently in the language of learning Python, just learned for loop, for many sentence syntax is not familiar. Just today, see there is a site activity, you need to enter a 13-bit serial number to determine whether you win, but this 13-bit serial number is required to buy their home products to obtain, it costs a certain
integer down, such as x=1.2, to return 1
Math.pow (x,y) # exponential operation, get x y-square
Math.log (x) # logarithm, the default base is E. You can use the base parameter to change the bases of the logarithm. Like Math.log (100,base=10)
MATH.SQRT (x) # square root
Trigonometric functions: Math.sin (x), Math.Cos (x), Math.tan (x), Math.asin (x), Math.acos (x), Math.atan (x)
These functions receive an X in radians (radian) as an argument.
Angle and Radian Interchange: Math.d
): #由于LeetCode验证代码时不会自动将生成器转化为列表, so only the generator is written outside, the main function only prints the answer 5DIC = {'2':'ABC','3':'def','4':'Ghi','5':'JKL','6':'MnO','7':'PQRS','8':'TUV','9':'WXYZ'}6 ifLen (x) = =0: #将digits为空值拿出来特别处理7 return []8 forIinchDic[x[0]]:9 ifLen (x) = = 1: #递归到digits只剩最后一个值挨个生成该值的映射Ten yieldI One Else: A forJinchSelf.lettercombinat
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