Skip to main content
HomeTutorialsPython

Python .append() and .extend() Methods Tutorial

Learn how to use the .append() and .extend() methods to add elements to a list.
Jun 2020  · 2 min read

You can add elements to a list using the append method. The append() method adds a single element towards the end of a list.

Example of the append() method

For example, let’s extend the string by adding “April” to the list with the method append(). Using append() will increase the length of the list by 1.

list.append() adds a single element to a list

months = ['January', 'February', 'March']
months.append('April')
print(months)
['January', 'February', 'March', 'April']

Using list methods to add data: append() vs. extend()

The .append() method increases the length of the list by one, so if you want to add only one element to the list, you can use this method.

x = [1, 2, 3]
x.append(4)
x
[1, 2, 3, 4]

The .extend() method increases the length of the list by the number of elements that are provided to the method, so if you want to add multiple elements to the list, you can use this method.

x = [1, 2, 3]
x.extend([4, 5])
x
[1, 2, 3, 4, 5]

Interactive example of the append() and extend() methods

We start with the list names:

names =  ['Apple Inc', 'Coca-Cola', 'Walmart']
# Append a name to the list names
names.append('Amazon.com')
print(names)

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

names =  ['Apple Inc', 'Coca-Cola', 'Walmart', 'Amazon.com']

We can then add two additional elements to the list names using extend() and the more_elements list.

# Extend list names
more_elements = ['DowDuPont', 'Alphabet Inc']
names.extend(more_elements)
print(names)

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

['Apple Inc', 'Coca-Cola', 'Walmart', 'Amazon.com', 'DowDuPont', 'Alphabet Inc']

Try it for yourself.

To learn more about list methods and functions, please see this video from our course Introduction to Python for Finance.

This content is taken from DataCamp’s Introduction to Python for Finance course by Adina Howe.

Check out our Python For Finance Tutorial.

Topics

Python courses

Certification available

Course

Introduction to Python

4 hr
5.4M
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
See MoreRight Arrow
Related

tutorial

Python List Functions & Methods Tutorial and Examples

Learn about Python List functions and methods. Follow code examples for list() and other Python functions and methods now!
Abid Ali Awan's photo

Abid Ali Awan

7 min

tutorial

18 Most Common Python List Questions

Discover how to create a list in Python, select list elements, the difference between append() and extend(), why to use NumPy and much more.
Karlijn Willems's photo

Karlijn Willems

34 min

tutorial

Python Append String: 6 Essential Concatenation Techniques

Explore six key methods for string concatenation in Python, using consistent examples to highlight the syntax and application of each technique.
Adel Nehme's photo

Adel Nehme

5 min

tutorial

Python Concatenate Strings Tutorial

Learn basic concepts of string manipulation in Python.
DataCamp Team's photo

DataCamp Team

1 min

tutorial

Pandas Add Column Tutorial

You are never stuck with just the data you are given. Instead, you can add new columns to a DataFrame.
DataCamp Team's photo

DataCamp Team

4 min

tutorial

Tuples in Python Tutorial

Learn to use and unpack Tuples in Python.
DataCamp Team's photo

DataCamp Team

3 min

See MoreSee More