Skip to main content

Python Lists Tutorial

A list is a compound data type where you can group values together. A Python list is a convenient way of storing information altogether rather than individually.
Jun 2020  · 4 min read

As opposed to data types such as int, bool, float, str, a list is a compound data type where you can group values together. In Python, it would be inconvenient to create a new python variable for each data point you collected. What you can do instead is, store all this information in a Python list. You can build such a list with square brackets.

[a, b, c]

Building a List

Suppose you asked your two sisters and parents for their height, in meters. You can build the list as follows:

[1.73, 1.68, 1.71, 1.89]
[1.73, 1.68, 1.71, 1.89]

Of course, all this data can be referenced to with a variable. Simply, put the variable name and the equal sign in front, like here.

fam = [1.73, 1.68, 1.71, 1.89]
fam
[1.73, 1.68, 1.71, 1.89]

A list is a way to give a single name to a collection of values. These values or elements can have any data type; int, float, etc., and also more advanced Python types, even other lists.

Storing Variables in Lists

It is also possible for a list to contain different types within it as well. Suppose you wanted to add the names of your parents and sisters to the list so you know which heights belong to whom. You can throw in some strings without issue.

fam = ["liz", 1.73, "emma", 1.68, "mom", 1.71, "dad", 1.89]
fam
['liz', 1.73, 'emma', 1.68, 'mom', 1.71, 'dad', 1.89]

That's not all though, you can also create smaller sublists inside of a list.

List Inside of a List

In the below example, the small lists are wrapped inside of square brackets and separated by a comma inside a list fam2. When you print the list fam2 you see that we have a list of lists. The main list contains 4 sublists:

fam2 = [["liz", 1.73],
        ["emma", 1.68],
        ["mom", 1.71],
        ["dad", 1.89]]
fam2
[['liz', 1.73], ['emma', 1.68], ['mom', 1.71], ['dad', 1.89]]

You can also check the data type of lists. Here we will see what type both fam and fam2 are:

type(fam)
list
type(fam2)
list

These calls show that both fam and fam2 are in fact lists. Each data type has a specific functionality and behavior associated with it. This is true for Python lists. They host a bunch of tools to subset and adapt them.

Interactive Example of List Creation

In this example, say after measuring the heights of your family members, you decided to collect some information on the house you're living in. The areas of the different parts of your home can be stored as separate variables for now.

You will create a list named areas, that contains the area of the hallway (hall), kitchen (kit), living room (liv), bedroom (bed), and bathroom (bath) in this order. Use the predefined variables. Finally, you will Print areas with the print() function.

# Area variables (in square meters)
hall = 11.25
kit = 18.0
liv = 20.0
bed = 10.75
bath = 9.50

# Create list areas
areas = [hall, kit, liv, bed, bath]

# Print areas
print(areas)

When you run the above code, it produces the following result:

[11.25, 18.0, 20.0, 10.75, 9.5]

Try it for yourself.

To learn more about creating lists, please see this video from our course Introduction to Python.

This content is taken from DataCamp’s Introduction to Python course by Hugo Bowne-Anderson.

Introduction to Python

Beginner
4 hours
4,591,044
Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.
See DetailsRight Arrow
Start Course

Intermediate Python

Beginner
4 hours
881,969
Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.

Python Data Science Toolbox (Part 2)

Beginner
4 hours
225,198
Continue to build your modern Data Science skills by learning about iterators and list comprehensions.
See all coursesRight Arrow
Related
Data Science Concept Vector Image

How to Become a Data Scientist in 8 Steps

Find out everything you need to know about becoming a data scientist, and find out whether it’s the right career for you!
Jose Jorge Rodriguez Salgado's photo

Jose Jorge Rodriguez Salgado

12 min

DC Data in Soccer Infographic.png

How Data Science is Changing Soccer

With the Fifa 2022 World Cup upon us, learn about the most widely used data science use-cases in soccer.
Richie Cotton's photo

Richie Cotton

The 23 Top Python Interview Questions & Answers

Essential Python interview questions with examples for job seekers, final-year students, and data professionals.
Abid Ali Awan's photo

Abid Ali Awan

22 min

Plotly Express Cheat Sheet

Plotly is one of the most widely used data visualization packages in Python. Learn more about it in this cheat sheet.
DataCamp Team's photo

DataCamp Team

0 min

Getting started with Python cheat sheet

Python is the most popular programming language in data science. Use this cheat sheet to jumpstart your Python learning journey.
DataCamp Team's photo

DataCamp Team

8 min

Python pandas tutorial: The ultimate guide for beginners

Are you ready to begin your pandas journey? Here’s a step-by-step guide on how to get started. [Updated November 2022]
Vidhi Chugh's photo

Vidhi Chugh

15 min

See MoreSee More