Random number generator python

Random number generator python : In this tutorial, we will learn how to generate and work with random numbers in python (random function in python ). The generators will produce the items called the random number generator in python language which helps to generate the number. The python language will define the function to generate random numbers. The function is used for a particular type of function as lotteries or any applications for random number generation. The random number generator is very important part and used for the evaluation of the ML algorithms. The splitting of the data into random test sets and the random shuffling dataset for generating numbers.

There are three types of generators as:-

1. Random Numbers with python.
2. Random numbers with numpy.
3. Pseudorandom number generation.

A) Pseudorandom Number generation:-

The randomness is that we inject the program and the algorithms which are in a mathematical form called the pseudorandom number generator.
The system that generates a random number from the randomness.
The pseudo-randomness is a sample of numbers using the process.
The shuffling data and initializing values use the pseudorandom number generators.
The generator number is in a sequence that can deterministic and seeded with the number.
The value does not matter after choosing the wish and the same seeding.

B) Random number with the python:-

The language has a standard library that provides a module called random which offers the generating the random numbers.
The language use a popular random for robust pseudorandom to the generator.

C) Random number with numpy in python:-

There are libraries in the ML as scikit-learn and keras.
These are used for numpy and cover libraries that make the working of vectors and the matrices of numbers.
It has own implementation of the pseudorandom generator of function.
It will also implement the Mersenna twister pseudorandom generator.

Random floating-point values:-

1. The random float value can be generated using a random function () then the values will generate range between 0 and 1 in the interval [0, 1].
2. The values are drawn from uniform distribution meaning each value has a chance of being drawn.

Random function in python

1) Example randrange ():-

import random
print(“A random number from list is:” end=””)
print(random. choice ([1, 4, 8, 10, 3]))
print(“A random number from range is:” end=””)
print(random.randrange (20, 50, 3))
Output:-
A random number from list is: 4
A random number from range is: 4

2) Example:-seed():-

print("A random number between 0 and 1 is:” end=””)
print(random. random ())
random. seed (5)
print("The mapped random number with 5 is:” end=””)
print(random.random ())
random.seed (7)
print("The mapped random number with 5 is:” end=””)
print (random. random ()

Output:-
A random number between 0 and 1 is: 0.5
The mapped random number with 5 is: 0.622
The mapped random number with 7 is: 0.323

3) Example:-

import random
li= [1, 4, 5, 10, 2]
print (“The list before shuffling is:” end=””)
for i in range (0, len (i)):
print(li[i], end=””)
print(“\r”)
random. shuffle(li)
print(“The list after shuffling is:” end=””)
for i in range (0, len (li)):
print(li[i], end=””)
print(“\r”)
print(“The random floating point number between 5 and 10 is:” end=””)
Print(random. uniform (5, 10))
Output:-
The list before shuffling is: 1 4 5 5 10 2
The list after shuffling is: 2 1 4 5 10
The random floating point number between 5 and 10 is: 5.18

4) Shuffle ():-

The function is used to shuffle the sequence randomly and the sequence.
Example:-

mylist=[1,2,3,4,5,6,7,8,9]
random.shuffle (mylist)
print(mylist)
Output:-
[6, 8, 2, 4, 3, 7, 1, 5, 9]

5) Sample ():-

The function will pick up the random sequence from given sequence and return output.
It will take two parameters and the first parameter is a sequence and the second is the integer how many values need to be returned in output.
Example:-
                   print(random. sample([1,2,3,4,5,6,7,8,9],4))
Output:-
[1, 4, 5, 9]