Faster Python Classes Using `__slots__` Instead of `__dict__`
In Python's object model, instance attributes are by default stored in a per-instance dictionary (`__dict__`), which supports dynamic attribute creation but incurs memory overhead and hashmap-based lookup cost. Declaring a `__slots__` class attribute switches the class to a fixed-layout representation using descriptors (objects implementing the descriptor protocol's `__get__`, `__set__`, `__delete__` methods) generated at the C level for each named attribute, eliminating the per-instance dictionary and its associated lookup indirection. This trade-off belongs to the domain of Python object internals and memory/performance optimization, relating attribute storage strategy to language design constraints such as backward compatibility and support for dynamic typing and multiple inheritance.
Faster Python Classes Using `__slots__` Instead of `__dict__`
In Python's object model, instance attributes are by default stored in a per-instance dictionary (`__dict__`), which supports dynamic attribute creation but incurs memory overhead and hashmap-based l…