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  2. NumPy solution: numpy.random.choice. For this question, it works the same as the accepted answer (import random; random.choice()), but I added it because the programmer may have imported NumPy already (like me)

  3. This function generates random string consisting of upper,lowercase letters, digits, pass the length seperator, no_of_blocks to specify your string format. eg: len_sep = 4, no_of_blocks = 4 will generate the following pattern, F4nQ-Vh5z-JKEC-WhuS. Where, length seperator will add "-" after 4 characters. XXXX-.

  4. random.seed(a, version) in python is used to initialize the pseudo-random number generator (PRNG). PRNG is algorithm that generates sequence of numbers approximating the properties of random numbers. These random numbers can be reproduced using the seed value. So, if you provide seed value, PRNG starts from an arbitrary starting state using a seed.

  5. How exactly does random.random () work in python?

    stackoverflow.com/questions/41998399

    I am a bit confused about how the random.random() function works in python. The docs say that it 'Return the next random floating point number in the range [0.0, 1.0)'.

  6. Get a random boolean in python? - Stack Overflow

    stackoverflow.com/questions/6824681

    13. If you want to generate a number of random booleans you could use numpy's random module. From the documentation. np.random.randint(2, size=10) will return 10 random uniform integers in the open interval [0,2). The size keyword specifies the number of values to generate. answered Dec 7, 2011 at 22:39.

  7. You could use the random.sample function from the standard library to select k elements from a population: import random random.sample(range(low, high), n) In case of a rather large range of possible numbers, you could use itertools.islice with an infinite random generator:

  8. Random word generator- Python - Stack Overflow

    stackoverflow.com/questions/18834636

    There is a package random_word could implement this request very conveniently: $ pip install random-word. from random_word import RandomWords. r = RandomWords() # Return a single random word. r.get_random_word() # Return list of Random words. r.get_random_words() # Return Word of the day.

  9. import random nums = list (range (1, 100)) # list of integers from 1 to 99 # adjust this boundaries to fit your needs random.shuffle (nums) print (nums) # <- List of unique random numbers. Note here that the shuffle method doesn't return any list as one may expect, it only shuffle the list passed by reference.

  10. In some cases when using numpy arrays, using random.shuffle created duplicate data in the array.. An alternative is to use numpy.random.shuffle.

  11. import random random.uniform(a, b) # range [a, b) or [a, b] depending on floating-point rounding Python provides other distributions if you need. If you have numpy imported already, you can used its equivalent: import numpy as np np.random.uniform(a, b) # range [a, b)