This is a detailed tutorial of Random Numbers in NumPy. Learn the usage of Random numbers in NumPy to create values & arrays

This is a detailed tutorial of Random Numbers in NumPy. Learn the usage of Random numbers in NumPy to create values & arrays

We use various sets of numbers in NumPy, and by the random number, we don’t mean a different number every time. In random numbers, we have a number whose prediction cannot be done logically. This number has to be really random and should be not the result of any algorithm or program.

As we know, there is a program to generate everything in a programming language even if it a random number. And if there is some code that can predict a random number, it means that those numbers are not completely random. So such numbers which are the outcome of a certain code or algorithm is known as pseudo-random.

In order to have a truly random number, we need to have some random data from completely outside sources. We can have this data from some networks or keystrokes. But we do not have much use of these truly random numbers whereas pseudo-random numbers are used more.

In order to generate random numbers in NumPy, we have a module known as `random`

. This offers us functionality to work with random numbers in NumPy.

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