How to Create a List of Numbers in Python

list of numbers python

List of Numbers Python: In this tutorial, we will see how to create a list of numbers in python.


The Python language does not only work with variables. They also use lists of variables. A list is a sequence of elements numbered from 0.

To generate a list of numbers or elements, there are several solutions:

  • Create a list of numbers using the range() function.
  • Create a list of numbers using the arange() function.
  • Create a User-Defined Function (Naive Approach).
  • Create a list of floats using linspace() function.
  • Create a list of random integers.

This tutorial will explain you how to create a list of numbers simply in python.

List of Numbers Python

List of Numbers Using the range() Function

In python, the range() function is very often used. It allows to return a sequence between two numbers given in parameter of the function. If the first parameter is not specified, the default value will be 0. The function can also take a third parameter called step which allows to specify the increment. Its default value is 1.

To generate a list of numbers, you can proceed as follows:

# 1st example
l = list(range(10))

# 2nd example
l = list(range(5, 10))

# 3rd example
l = list(range(5, 15, 2))


[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
[5, 6, 7, 8, 9]
[5, 7, 9, 11, 13]

In the first example, we use only the stop parameter, which means that the creation of numbers will start at 0 and end at 10. You can see that the value 10 does not appear in the list, this value is not included because we have to stop at the value 10.

In the second example, we have set the start parameter. We specify from which value we want to generate our numbers.

In the third example, we used the step parameter. This means that we have to generate a number with an increment of 2 between the interval.

It is possible to use the list comprehension method with the range( ) function as well.

# Using list comprehension

l = [i for i in range(10)]


[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]

It is a very simple and concise way to create a list quickly in Python.

List of Numbers Using the arange() Function

The arange() function in the NumPy module allows to create an array similar to the range() function. Here is how to use it:

import numpy as np
l = list(np.arange(1, 7))


[1, 2, 3, 4, 5, 6]

Like the range() function, arange() function has a step parameter to modify the increment.

Create a User-Defined Function (Naive Approach).

We can start from 0 and create a native function that generates numbers in an interval with the append() function:

def createList(start, stop):

    if (start == stop):
        return start

        l = []
        while (start < stop + 1):
            start += 1
        return l

start = 1
print(createList(start, stop))


[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]

Create a List of Floats Using linspace() Function

To generate floating numbers, you can use the linspace() function present in the NumPy module:

# Using linspace()

import numpy as np
l = [i for i in np.linspace(5, 15, 10)]


[5.0, 6.111111111111111, 7.222222222222222, 8.333333333333334, 9.444444444444445, 10.555555555555555, 11.666666666666668, 12.777777777777779, 13.88888888888889, 15.0]

Create a List of Random Integers

To generate random numbers in a list, you can use the randint() function of the random module :

# Generate random numbers

import random

l = [random.randint(0, 100) for i in range(10)]

If you want to generate numbers between 0 and 1 you can this article :

How to Generate a Random Number Between 0 and 1 in Python


In this article we have discussed the different methods to create a list of numbers in Python. The most used function is the range() function; it is simple to use it.

If you have any problem to use one of these functions, don’t hesitate to tell me in the comments.

See you soon for new tutorials !

Back to Python Menu

Categorized as Python

By ayed_amira

I'm a data scientist. Passionate about new technologies and programming I created this website mainly for people who want to learn more about data science and programming :)

Leave a comment

Your email address will not be published. Required fields are marked *