Objects in Python are an abstraction over data: any data is represented here by objects.
For a description of the
object type, see the page “ object (object) ".
At the CPython level, objects are described using the basic structure
|Identifier td >|| The entity that characterizes the object is unchanged throughout the entire period of the object's existence. You can think of it as the address of the object in memory. The identity of two objects (in fact, the equality of identifiers) can be checked using the |
|Type b >||The datatype defines the abilities of its objects and the possible values for them. Like an identifier, a type remains unchanged throughout the entire lifetime of an object. You can get the type of an object by calling type () with one argument. A type is also an object, which also has a type of type.|
|Value||If the value object can change, then the object is called mutable , if it cannot - immutable . Mutability is determined by type: so numbers, strings and tuples are immutable, while dictionaries and lists are are mutable.|
> container containing a reference to a mutable object can of course change when that object changes. However, the container itself is nevertheless considered immutable, because the identity of the mutable object does not change (for example, a tuple may well contain [a reference to] a mutable object).
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