namedtuple allows us to create a lightweight data structure with named fields. It provides a convenient way to define simple classes without writing a full class definition.

To use namedtuple, you need to import it from the collections module. Here's an example:

from collections import namedtuple

Person = namedtuple("Person", ["name", "age", "city"])
person = Person("Alice", 25, "New York")

print(  # Output: Alice
print(person.age)  # Output: 25
print(  # Output: New York

In this code, we create a named tuple called Person using the namedtuple function. The first argument is the name of the named tuple, and the second argument is a list of field names as strings.

We create an instance of the Person named tuple called person with values "Alice", 25, and "New York". We can access the fields of the named tuple using dot notation, such as, person.age, and

The benefit of using namedtuple is that it provides a more readable and concise way to define simple classes with named fields. It saves you from writing a full class definition when you only need a lightweight data structure.

Both namedtuple and dataclasses are useful tools for creating lightweight classes to store data. Here are some considerations to help you decide when to use namedtuple or dataclasses:

Use namedtuple when:

  • You need a simple data structure with named fields.
  • You want a lightweight class without additional functionality or methods.
  • You don't need mutability (i.e., the values of fields won't change after creation).

Use dataclasses when:

  • You want a more feature-rich class with additional functionality.
  • You need mutability and want to modify the values of fields after creation.
  • You want automatic generation of common methods like __init__, __repr__, and __eq__.
  • You want to take advantage of other features provided by dataclasses, such as automatic ordering, hashing, and default values.

In general, if you need a simple data container with named fields and no additional functionality, namedtuple is a lightweight and efficient choice. On the other hand, if you require more features and flexibility, or if you anticipate the need for additional methods or customization, dataclasses provide a more comprehensive solution.

Consider your specific requirements and the desired functionality of your class to determine whether namedtuple or dataclasses is the better fit for your use case.