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The random() method is implemented in C, executes in a single Python step, and is, therefore, threadsafe. The _random is a compiled C library that contains few basic operations, which are further extended in Python's implementation contained at random.py file.
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)
To generate one random bool (which is the question) this is much slower but if you wanted to generate many then this mecomes much faster: $ python -m timeit -s "from random import random" "random() < 0.5" 10000000 loops, best of 3: 0.0906 usec per loop
Alternatively if you don't want to save the random number as an int you can just do it as a oneliner: '{:03}'.format(random.randrange(1, 10**3)) python 3.6+ only oneliner: f'{random.randrange(1, 10**3):03}' Example outputs of the above are: '026' '255' '512' Implemented as a function that can support any length of digits not just 3:
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)
In python3.6+ you can use the secrets module:. The secrets module is used for generating cryptographically strong random numbers suitable for managing data such as passwords, account authentication, security tokens, and related secrets.
Edit: Looks like you have same name with built-in random module, so you should change filename to something else as others suggested. but after that, you still need to change your codes to initiate Random class. rand=random.Random() rand.uniform(10, 20) and also for others because you are calling module itself, instead of Random class
Note that it really depends on the use case. With the random module you can set a random seed, useful for pseudorandom but reproducible results, and this is not possible with the secrets module. random module is also faster (tested on Python 3.9): >>> timeit.timeit("random.randrange(10)", setup="import random") 0.4920286529999771 >>> timeit ...
I know how to generate a random number within a range in Python. random.randint(numLow, numHigh) And I know I can put this in a loop to generate n amount of these numbers. for x in range (0, n): listOfNumbers.append(random.randint(numLow, numHigh)) However, I need to make sure each number in that list is unique.
@wjandrea yeah I'm aware that Python 3 range produces a generator. Back when I posted that comment if you tried sample = random.sample(range(1000000000000000000), 10) you could watch the memory of the process grow as it tried to materialize the range before extracting a sample.