The most idiomatic way to create a random integer in Python is the randint()
function of the random
module. Its two arguments start
and end
define the range of the generated integers. The return value is a random integer in the interval [start, end]
including both interval boundaries. For example, randint(0, 9)
returns an integer in 0, 1, 2, 3, 4, 5, 6, 7, 8, and 9.
Let’s explore a couple of examples next.
Generate a Random Integer Between 0 and 9
To create a random integer between 0 and 9, call random.randint(0, 9)
.
import random num = random.randint(0, 9)
The output can be any number between 0 (included) and 9 (included).
Generate a Random Integer Between 1 and 10
To create a random integer between 1 and 10, call random.randint(1, 10)
.
import random num = random.randint(1, 10)
The output can be any number between 1 (included) and 10 (included).
Generate a Random Integer Between 1 and 100
To create a random integer between 1 and 100, call random.randint(1, 100)
.
import random num = random.randint(1, 100)
The output can be any number between 1 (included) and 100 (included).
Generate a Random Integer Between x and y
To create a random integer num
between x
and y
so that x <= num <= y
holds, call random.randint(x, y)
.
import random x, y = 0, 10 num = random.randint(x, y)
The output can be any number between x
(included) and y
(included).
randrange()
An alternative way to create random integers within a certain range in Python is the random.randrange()
function. This allows you more flexibility to define the range from which the random numbers should be drawn.
Here’s the usage overview with three different sets of arguments:
Usage | Description |
---|---|
randrange(stop) | Return a randomly selected element from range(0, stop, 1) |
randrange(start, stop) | Return a randomly selected element from range(start, stop, 1) |
randrange(start, stop, step) | Return a randomly selected element from range(start, stop, step) |
Here are three example runs in my Python shell:
>>> import random >>> random.randrange(3) 1 >>> random.randrange(2, 3) 2 >>> random.randrange(2, 10, 2) 2
If you want to master the random module, check out the following video and our in-depth guide on the Finxter blog.

While working as a researcher in distributed systems, Dr. Christian Mayer found his love for teaching computer science students.
To help students reach higher levels of Python success, he founded the programming education website Finxter.com that has taught exponential skills to millions of coders worldwide. He’s the author of the best-selling programming books Python One-Liners (NoStarch 2020), The Art of Clean Code (NoStarch 2022), and The Book of Dash (NoStarch 2022). Chris also coauthored the Coffee Break Python series of self-published books. He’s a computer science enthusiast, freelancer, and owner of one of the top 10 largest Python blogs worldwide.
His passions are writing, reading, and coding. But his greatest passion is to serve aspiring coders through Finxter and help them to boost their skills. You can join his free email academy here.