Mutable vs Immutable Objects in Python: Which One Should You Use?

Eric Okemwa
2 min readApr 26, 2023

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Illustration by realpython

In the world of Python, objects are like people. Some are mutable, meaning they can change over time, while others are immutable, meaning they stay the same forever. So, which type of object are you? Are you a mutable object, always up for a change? Or are you an immutable object, content to stay the same?

No matter what type of object you are, this blog post is for you. We’ll discuss the difference between mutable and immutable objects and provide examples. We’ll also discuss the advantages and disadvantages of each type of object. So, whether you’re a mutable or immutable object, read on to learn more about these two important concepts in Python.

In Python, there are two types of objects: mutable and immutable. Mutable objects can be changed after they are created, while immutable objects cannot.

Mutable Objects

Mutable objects are objects whose state can be changed after they are created. Some examples of mutable objects in Python include:

  • Lists
  • Dictionaries
  • Sets
  • Strings

Immutable Objects

Immutable objects are objects whose states cannot be changed after creation. Some examples of immutable objects in Python include:

  • Numbers
  • Tuples
  • Frozen sets
  • Booleans
Table by Codingninjas

When to Use Mutable and Immutable Objects

Whether to use a mutable or immutable object depends on the application's specific needs. For example, if you need to be able to change the contents of an object, then you should use a mutable object. However, if you need to guarantee that an object's contents will not change, you should use an immutable object.

Code Examples

Here are some code examples that illustrate the difference between mutable and immutable objects:

# Mutable object
list1 = [1, 2, 3]
list1.append(4)
print(list1) # [1, 2, 3, 4]

# Immutable object
tuple1 = (1, 2, 3)
# tuple1.append(4) # TypeError: 'tuple' object does not support item assignment
print(tuple1) # (1, 2, 3)

Conclusion

Mutable and immutable objects are an important concept in Python. By understanding the difference between these two types of objects, you can choose the right object for your specific needs.

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Eric Okemwa
Eric Okemwa

Written by Eric Okemwa

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