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Python Tutorial

Python HOME Python Intro Python Get Started Python Syntax Python Comments Python Variables Python Data Types Python Numbers Python Casting Python Strings Python Booleans Python Operators Python Lists Python Tuples Python Sets Python Dictionaries Python If...Else Python While Loops Python For Loops Python Functions Python Lambda Python Arrays Python Classes/Objects Python Inheritance Python Iterators Python Scope Python Modules Python Dates Python JSON Python RegEx Python PIP Python Try...Except Python User Input Python String Formatting

File Handling

Python File Handling Python Read Files Python Write/Create Files Python Delete Files

Python NumPy

NumPy Intro NumPy Getting Started NumPy Creating Arrays NumPy Array Indexing NumPy Array Slicing NumPy Data Types NumPy Copy vs View NumPy Array Shape NumPy Array Reshape NumPy Array Iterating NumPy Array Join NumPy Array Split NumPy Array Search NumPy Array Sort NumPy Array Filter NumPy Random NumPy ufunc

Machine Learning

Getting Started Mean Median Mode Standard Deviation Percentile Data Distribution Normal Data Distribution Scatter Plot Linear Regression Polynomial Regression Multiple Regression Scale Train/Test Decision Tree

Python MySQL

MySQL Get Started MySQL Create Database MySQL Create Table MySQL Insert MySQL Select MySQL Where MySQL Order By MySQL Delete MySQL Drop Table MySQL Update MySQL Limit MySQL Join

Python MongoDB

MongoDB Get Started MongoDB Create Database MongoDB Create Collection MongoDB Insert MongoDB Find MongoDB Query MongoDB Sort MongoDB Delete MongoDB Drop Collection MongoDB Update MongoDB Limit

Python Reference

Python Overview Python Built-in Functions Python String Methods Python List Methods Python Dictionary Methods Python Tuple Methods Python Set Methods Python File Methods Python Keywords Python Exceptions Python Glossary

Module Reference

Random Module Requests Module Math Module cMath Module

Python How To

Remove List Duplicates Reverse a String Add Two Numbers

Python Examples

Python Examples Python Exercises Python Quiz Python Certificate

Python Random Module


Python has a built-in module that you can use to make random numbers.

The random module has a set of methods:

Method Description
seed() Initialize the random number generator
getstate() Returns the current internal state of the random number generator
setstate() Restores the internal state of the random number generator
getrandbits() Returns a number representing the random bits
randrange() Returns a random number between the given range
randint() Returns a random number between the given range
choice() Returns a random element from the given sequence
choices() Returns a list with a random selection from the given sequence
shuffle() Takes a sequence and returns the sequence in a random order
sample() Returns a given sample of a sequence
random() Returns a random float number between 0 and 1
uniform() Returns a random float number between two given parameters
triangular() Returns a random float number between two given parameters, you can also set a mode parameter to specify the midpoint between the two other parameters
betavariate() Returns a random float number between 0 and 1 based on the Beta distribution (used in statistics)
expovariate() Returns a random float number between 0 and 1, or between 0 and -1 if the parameter is negative, based on the Exponential distribution (used in statistics)
gammavariate() Returns a random float number between 0 and 1 based on the Gamma distribution (used in statistics)
gauss() Returns a random float number between 0 and 1 based on the Gaussian distribution (used in probability theories)
lognormvariate() Returns a random float number between 0 and 1 based on a log-normal distribution (used in probability theories)
normalvariate() Returns a random float number between 0 and 1 based on the normal distribution (used in probability theories)
vonmisesvariate() Returns a random float number between 0 and 1 based on the von Mises distribution (used in directional statistics)
paretovariate() Returns a random float number between 0 and 1 based on the Pareto distribution (used in probability theories)
weibullvariate() Returns a random float number between 0 and 1 based on the Weibull distribution (used in statistics)