Append() Function in Python

Append() Function in Python

The append() function in Python is mainly used with lists to add new items at the end. It is a simple and powerful tool that helps you build and manage lists as your program runs. Whether you are taking user input, reading data from files, or updating values inside a loop, append() makes list handling easy and flexible. It is very helpful when you need to grow a list step by step, such as storing results, tracking tasks, or handling data that changes with time. In this blog, you will learn how the append() function works with clear examples and useful best practices to use it effectively in detail.

Table of Contents

What is append() Function in Python?

The append() function in Python is used to add a single element to the end of a list. It changes the original list directly and is one of the most common methods for working with changing data. When building a list from user input, collecting results in a loop, or setting values based on certain conditions, adding items one by one using append() is often faster and simpler than making a new list each time. This method works only with lists and helps keep your code clear, simple, and easy to read.

Syntax of append() Function in Python

The syntax of the append() function in Python is straightforward and easy to understand. This makes it popular among both beginners and experienced programmers. This function is used directly on a list and takes one input, which is the item you want to add. When run, the new element is added at the end of the list, keeping the order of the other items unchanged.

Syntax:

list_name.append(element)

Example:

Python

Output : 

Syntax of append() Function in Python - output
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Parameters of the append() Function in Python

The append() function takes one mandatory argument, which is the element to insert. This component must be any valid Python object, such as an integer, string, list, or even a user-specified object. Note that when you add a list to a list, you do not concatenate the lists, but the new list is added as a single element within the original list.

  • element (required): The object to be added to the end of the list.

Using Python append() with Different Data Types

The append() function is primarily associated with lists in Python, but the most common question that is posed to many developers is how the method works or whether it applies to other data types such as strings, dictionaries, and tuples. Not all data types support the append() function directly, but with Python, it is possible to emulate similar behavior using alternative approaches. In this section, we are going to find out how append() or other substitutes behave with strings, dictionaries, tuples, and lists.

1. Using Python append() with Strings

The Python strings are not mutable, so you cannot modify a string in place or apply append() to a string. However, if you need to add (or “append”) content to a string, the most common approach is string concatenation using the ‘+’ operator or join() method for better efficiency with multiple strings.

Example:

Python

Output:

Using Python append() with Strings - output

Explanation: Here, the strings do not support the append() function, so we use += to join two strings. This makes a new string since the original string cannot be changed in place.

2. Using Python append() with Dictionaries

Dictionaries in Python do not support the append() function either. However, you can add new key-value pairs using assignment syntax. This will enable you to grow the dictionary in a way similar to appending new data

Example:

Python

Output:

Using Python append() with Dictionaries - output

Explanation: Here, although append() does not apply to dictionaries, adding a new key-value pair expands the dictionary, which is similar to appending.

3. Using Python append() with Tuples

Tuples are also immutable in Python, so they do not support the append() function. You may append by constructing a new tuple using the concatenation of the old tuple and another tuple to simulate appending.

Example:

Python

Output:

Using Python append() with Tuples - output

Explanation: Here, tuples cannot use append() because they are immutable. So, a new tuple is created by adding the old tuple with another one-element tuple.

4. Using Python append() with Lists

The built-in data type that supports the append() function in Python is the list. Using append(), you can add one item to the end of an existing list.

Example:

Python

Output:

Using Python append() with Lists - output

Explanation: Here, the element is added to the end of the list with the help of the append() function. It works directly on the original list, making it simple and quick to add new items.

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Use Cases of Python append() Function with Examples

The append() function is one of the most commonly used list methods in Python. It helps you grow your list by adding new items as needed. Whether you are handling user input, processing data in a loop, or building nested structures, append() makes list changes easy without needing to recreate or reassign the list. Below are three common ways the append() is used with examples.

1. Appending a Single Element to a List in Python

The simplest way to use the append() function in Python is to add a single item to a list. It is especially useful when building a list step by step while collecting or gathering data in a loop.

Example:

Python

Output:

Appending a Single Element to a List in Python - output

Explanation: Here, the number 4 is added to the end of the list. It modifies the original list directly without creating a new list.

2. Appending an Iterable to a List Using Python append()

The append() function is a commonly used method in Python lists to add new items. It allows dynamic growth of lists without needing to recreate them. It is useful in loops, input handling, and building complex data structures

Example:

Python

Output:

Appending an Iterable to a List Using Python append() - output

Explanation: Here, the list [‘blue’, ‘yellow’] is added, using as a nested list instead of adding elements individually

3. Creating Nested Lists with Python List append()

Creating nested lists with the append() function is useful for building grids, matrices, or grouped data. It allows adding sublists to form multi-level structures. This helps create complex data layouts as the program runs.

Example:

Python

Output:

Creating Nested Lists with Python List append() - output

Explanation: Here, each row (which is itself a list) is appended to the matrix list, creating a 2D nested list. This is common in handling tabular or grid-like data.

Common Mistakes in Python append() & How to Avoid Them

The append() function is easy to use but can lead to mistakes if not used correctly. Beginners often face issues like adding the wrong type of data. Here are some common problems with simple ways to fix them.

Mistake 1: Assuming Python append() Returns a New List

It is a common misconception that Python append() creates and returns a new list. Instead, it changes the original list directly and returns None.

Python

Output:

Assuming append() Returns a New List - output

Explanation: Here, the append() function changes the original list and does not create a new one. If the result is given to another variable, the value becomes None. This can cause unexpected behavior.

To Avoid: Do not assign the result of append() to a new variable. Use it directly on the list.

Python
Assuming append() Returns a New List - correct output

Mistake 2: Using Python append() Instead of extend() to Add Multiple Items

Adding a list of items using Python append() results in a single nested list, while with extend(), the items remain separate in the main list.

Python

Output:

Using append() Instead of extend() to Add Multiple Items - output

Explanation: Here, the Python extend() function appends the individual elements of another iterable, whereas append() appends the whole object in itself.

To Avoid: Use Python extend() when adding several elements from another list or any iterable.

Python

Output:

Using append() Instead of extend() to Add Multiple Items - correct output

Mistake 3: Trying to Use append() on Strings, Tuples, or Dictionaries

The Python append() function is available only for lists. Using it on strings, tuples, or dictionaries will result in an error.

Python

Output:

Trying to Use append() on Strings, Tuples, or Dictionaries - output

Explanation: Here, the strings are immutable. You can concatenate using +, but you cannot use append().

To Avoid: Use the Python append() function only with lists. For strings, use + to join. For dictionaries, use key and value assignment.

Python

Output:

Trying to Use append() on Strings, Tuples, or Dictionaries - correct output

Difference Between append() and extend() in Python

Feature append() extend()
Function Purpose Adds a single item to the end of the list Adds each item from an iterable to the list
Argument Type Takes a single element (any object) Takes an iterable like list, tuple, or set
Nested Lists Appends entire list as one element Adds each element separately into the list
Common Use Case Adding one value or object to the list Merging another iterable into the list
Performance on Large Iterables Slower when used to add many items Faster and more efficient for many items
Example
numbers = [1, 2]
numbers.append(3) 
#Output: [1, 2, 3]
values = [1, 2]
values.extend([3, 4]) 
#Output: [1, 2, 3, 4]

Best Practices for Using append() in Python

  1. Use with Lists: The append() works only on lists. Using it on strings, tuples, or dictionaries causes an AttributeError.
  2. No Assignment: The append() function updates the original list and returns None. Call it directly on the list without using a new variable.
  3. Use extend(): To add multiple elements, use extend() instead of append() to avoid nested structures.
  4. Avoid Reuse: When using mutable objects in loops, create a new object each time to avoid unintended changes.
  5. Check the Data Type: Before using append(), make sure the item being added is of the right type to avoid logic errors.
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Conclusion

The append() function is a simple and effective tool for handling dynamic lists in Python. It updates the original list directly without creating a new one, which is useful when collecting user input, looping through data, storing results, or building nested lists. Its clear and direct approach helps keep the code clean and easy to understand. The Python append() function is especially useful in situations where data must be added incrementally during the execution of a program.

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Append() Function in Python - FAQs

Q1. What does the append() function do in Python?

The append() function is used to add a single element to the end of a list. It modifies the original list in place rather than creating a new one.

Q2. Can append() be used to add multiple elements at once?

No, append() only adds one element at a time. If you pass another list or iterable to it, the entire object is added as a single item, not as individual elements.

Q3. What is the return value of append()?

The append() function returns None. It updates the list in place, so there’s no need to assign the result to a new variable.

Q4. What types of elements can be added using append()?

Any object can be added using append(), including integers, strings, lists, dictionaries, tuples, or even custom objects.

Q5. Does append() create a new list or modify the original list?

append() modifies the original list directly. It is an in-place operation, meaning the changes are made to the existing list rather than returning a modified copy.

About the Author

Senior Consultant Analytics & Data Science, Eli Lilly and Company

Sahil Mattoo, a Senior Software Engineer at Eli Lilly and Company, is an accomplished professional with 14 years of experience in languages such as Java, Python, and JavaScript. Sahil has a strong foundation in system architecture, database management, and API integration. 

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