Working with random numbers is an important part of most applications today. Games are one of the most common user of them. Generating random numbers effectively is likewise an important concern of today's computing world.
In this chapter, we shall see how to work with random numbers in Python. Specifically, we'll see how to generate a random float in the range
[0, 1) and how to generate random integers in a given arithmetic progression, including the progression of natural numbers.
What are pseudo-random numbers?
When we take the term 'random', we basically mean something that's not predictable. It's purely based on chance.
Random numbers generated by computers are random, but predictable.
Now this might confuse you — and it should because it goes against our usual understanding of the term 'random'.
Random numbers generated by computers simply form a sequence where consecutive elements don't follow any given pattern — they're random. However, there comes a point when the sequence start to repeat itself.
In other words, it's predictable after a given length of elements.
Thereby, random numbers generated by computers are termed specially — they're called pseudo-random numbers.
An algorithm that generates a pseudo-random number is called a pseudo-random number generator, or simply PRNG.
Almost all programming languages today use PRNG to generate random numbers. Python is no exception.
Now the next time, whenever you encounter a random number in Python, or any other programming language, you would know that it's a pseudo-random number — not a pure random number.
The fuel of random numbers in Python is the
random module. Without it, one can't imagine randomness in Python, unless that person is a PRNG programmer!
Hence, we start by importing the
random module into our script:
One this is done, we can validly operate on random numbers.
Now there are a couple of methods to get a random number using the
random module. The section below explores some of those methods one by one.
A random number in [0, 1)
The most basic method of the
random module is the
It returns a float in the range
[0, 1) (greater than or equal to
0 and lesser than
Let's see it in action:
import random # a random number print(random.random()) # another random number print(random.random())
random() method and a bit of arithmetic, one can generate random numbers in any given range. The exercises below demonstrate this.
Construct a function
random_number() that returns a random float between
0 (inclusive) and
As we saw above,
random() returns a float in the range
[0, 1). If we multiply its result with
100 we get a float in the range
So, this is how we'll define the
import random def random_number(): return random.random() * 100
Although, a bit of arithmetic of
random() allows us to generate any sort of random number in Python, it's not really straightforward and out-of-the-box. Fortunately, Python provides a couple of other methods to produce random numbers in given ranges and of given types.
Let's see them..
A random integer
randint() method takes in two arguments and returns a random integer between these numbers (both inclusive).
randint() is a handy way to get random integers in Python.
Consider the code below:
import random # random integer between 0 and 5 print(random.randint(0, 5)) # random integer between 20 and 30 print(random.randint(20, 30))
First we get a random number between
5 (both inclusive), and then we get another one between
random.randint(20, 30) a couple of times to see what values do we get in a run:
randommodule in the interactive shell, make sure that you have it imported via
How to generate a random integer between
0 (inclusive) and
10 (exclusive) using
Python enables one to get a random integer in a given arithmetic progression using the
It works just like the
range() method — except for that it doesn't return a sequence, but rather a randomly selected item from the sequence.
Consider the example below:
import random # random item from the sequence below: # 0, 1, 2, 3, 4, 5, 6, 7, 8 print(random.randrange(9))
First think of what does
range(9) define. It defines a sequence of the integers from
8 (both inclusive).
rangrange() accordingly selects one item from this sequence.
Now let's consider another sequence:
import random # random item from: # 0, 2, 4, 6, 8, 10 print(random.randrange(0, 11, 2)) print(random.randrange(0, 11, 2)) print(random.randrange(0, 11, 2))
As before, first let's see what does
range(0, 11, 2) define. It defines all even integers from
10 (both inclusive). Thereby,
randrange(0, 11, 2) returns a randomly selected item from this sequence of evens.
randrange() doesn't compute a sequence!
One might be tempted to think that
randrange() creates an actual sequence and then selects a number from it. However, this is not the case.
random() internally and a bit of elementary arithmetic to return a random integer in a given arithmetic progression.
These are not the only methods of the
random module. There are a couple more, however they are related to lists and statistics and other concepts that we shall explore later on.