Tutorials References Exercises Videos Menu
Free Website Get Certified Pro
HTML CSS JAVASCRIPT SQL PYTHON PHP BOOTSTRAP HOW TO W3.CSS JAVA JQUERY C C++ C# R React

Python Tutorial

Python HOME Python Intro Python Get Started Python Syntax Python Comments Python Variables
Python Variables Variable Names Assign Multiple Values Output Variables Global Variables Variable Exercises
Python Data Types Python Numbers Python Casting Python Strings
Python Strings Slicing Strings Modify Strings Concatenate Strings Format Strings Escape Characters String Methods String Exercises
Python Booleans Python Operators Python Lists
Python Lists Access List Items Change List Items Add List Items Remove List Items Loop Lists List Comprehension Sort Lists Copy Lists Join Lists List Methods List Exercises
Python Tuples
Python Tuples Access Tuples Update Tuples Unpack Tuples Loop Tuples Join Tuples Tuple Methods Tuple Exercises
Python Sets
Python Sets Access Set Items Add Set Items Remove Set Items Loop Sets Join Sets Set Methods Set Exercises
Python Dictionaries
Python Dictionaries Access Items Change Items Add Items Remove Items Loop Dictionaries Copy Dictionaries Nested Dictionaries Dictionary Methods Dictionary Exercise
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 Math 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 Modules

NumPy Tutorial Pandas Tutorial SciPy Tutorial Django Tutorial

Python Matplotlib

Matplotlib Intro Matplotlib Get Started Matplotlib Pyplot Matplotlib Plotting Matplotlib Markers Matplotlib Line Matplotlib Labels Matplotlib Grid Matplotlib Subplot Matplotlib Scatter Matplotlib Bars Matplotlib Histograms Matplotlib Pie Charts

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 Confusion Matrix Hierarchical Clustering Logistic Regression Grid Search Categorical Data K-means Bootstrap Aggregation Cross Validation AUC - ROC Curve K-nearest neighbors

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 Statistics Module Math Module cMath Module

Python How To

Remove List Duplicates Reverse a String Add Two Numbers

Python Examples

Python Examples Python Compiler Python Exercises Python Quiz Python Certificate

Python Random Module

❮ Previous Next ❯

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 based on the Exponential distribution (used in statistics)
gammavariate() Returns a random float number based on the Gamma distribution (used in statistics)
gauss() Returns a random float number based on the Gaussian distribution (used in probability theories)
lognormvariate() Returns a random float number based on a log-normal distribution (used in probability theories)
normalvariate() Returns a random float number based on the normal distribution (used in probability theories)
vonmisesvariate() Returns a random float number based on the von Mises distribution (used in directional statistics)
paretovariate() Returns a random float number based on the Pareto distribution (used in probability theories)
weibullvariate() Returns a random float number based on the Weibull distribution (used in statistics)

❮ Previous Next ❯