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Random module is python built-in module. By this module we can generate random numbers
| Methods | Description |
|---|---|
| setstate() | This method restores the internal state of the random number generator |
| random() | This method returns a random float number between 0 and 1 |
| getrandbits() | This method returns a number representing the random bits |
| seed() | This method initialize the random number generator |
| gauss() | This method returns a random float number based on the Gaussian distribution |
| randrange() | This method returns a random number between the given range |
| lognormvariate() | This method returns a random float number based on a log-normal distribution |
| sample() | This method returns a given sample of a sequence |
| gammavariate() | This method returns a random float number based on the Gamma distribution |
| normalvariate() | This method returns a random float number based on the normal distribution |
| getstate() | This method returns the current internal state of the random number generator |
| shuffle() | This method takes a sequence and returns the sequence in a random order |
| betavariate() | This method returns a random float number between 0 and 1 based on the Beta distribution (used in statistics) |
| randint() | This method returns a random number between the given range |
| choices() | This method returns a list with a random selection from the given sequence |
| expovariate() | This method returns a random float number based on the Exponential distribution |
| vonmisesvariate() | This method a random float number based on the von Mises distribution |
| triangular() | This method returns a random float number between two given parameters. Here you can also set a mode parameter to specify the midpoint between the two other parameters |
| uniform() | This method returns a random float number between two given parameters |
| paretovariate() | This method returns a random float number based on the Pareto distribution |
| choice() | This method returns a random element from the given sequence |