Exploring the Identity of Objects with the id() Function in Python
The id() function in Python is a powerful tool for managing object identity, providing a unique and persistent integer associated with each object throughout its lifetime. This article delves into the nature and applications of id(), building upon the questions and answers you provided.
Unique Object Identities: A Social Security Number for Objects
As described in the Python documentation, id() returns "the ‘identity’ of an object," which is a unique and immutable integer for that object. This identifier allows Python to distinguish between different objects, even if they have the same value. Consider it an object's social security number, ensuring its distinct identity.
Not Always Memory Addresses: A Matter of Implementation
While the documentation mentions that in CPython, the returned integer is the object's memory address, this is an implementation detail. In other implementations of Python, the integer may be generated differently, preserving its uniqueness guarantee but potentially deviating from memory address representation.
Understanding the List Puzzle
In your example, you observed that the id() values for list elements do not correspond to the size of the data type. This is because a Python list is not a contiguous array like in C. Instead, it stores references to the actual objects. The id() of a list element, therefore, points to the object being referenced, not the size of the actual data it holds.
Practical Applications of id()
In practical terms, id() is rarely used directly in code. The is operator is the recommended way to check for object identity equality. However, id() can be useful in debugging situations, where it can help identify objects that appear to be the same but have different identities.
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