In Python, an immutable object is an object whose value can’t be modified after it’s created. This means that once an immutable object is instantiated, its value can’t change. When you attempt to modify an immutable object, Python will instead create a new object with the updated value, rather than altering the original object.

Numbers (int, float), strings, and tuples are common examples of immutable objects in Python. These types ensure that their values remain constant throughout the program execution, which can help with data integrity and consistency.

Understanding immutability is crucial because it affects how you handle data and how Python manages memory. For example, when you pass an immutable object to a function, you can be confident that the function won’t alter the original object, but rather will work with a copy or a reference to the original value.

This behavior contrasts with mutable objects like lists or dictionaries, which can be changed in place.

Example

Here’s an example to illustrate the concept of immutability in Python:

In this example, greeting is a string, which is immutable. When you try to change the character at index 5, you get a TypeError exception because an immutable object can’t be changed in place.

For additional information on related topics, take a look at the following resources:

• Lists vs Tuples in Python (Tutorial)
• Strings and Character Data in Python (Tutorial)
• Differences Between Python's Mutable and Immutable Types (Course)
• Lists and Tuples in Python (Course)
• Lists vs Tuples in Python (Quiz)
• Strings and Character Data in Python (Course)
• Python Strings and Character Data (Quiz)