Creating Immutable Objects in Python

The challenge of creating immutable objects in Python has puzzled developers seeking to establish data structures that cannot be modified. While subclassing tuples offers a solution, it introduces accessibility issues with attributes.

One solution proposed involves defining a type named Immutable derived from tuple. It overrides constructors and restricts attribute modifications, effectively preventing changes to the object's state. However, this approach still allows attribute access through indices, which may not be desirable.

An alternative approach suggested by responders introduces the use of collections.namedtuple. This library creates immutable types with named attributes. Named tuples provide perks such as compatibility with pickle and copy, streamlining data serialization and manipulation.

By using named tuples, one can swiftly create immutable objects with specified attributes:

Immutable = collections.namedtuple("Immutable", ["a", "b"])

While this approach does not entirely eliminate attribute accessibility via indices, it offers a more concise and versatile solution for creating immutable objects in Python.