Python Trick: Using __slots__ to Save Memory in Classes
By default, Python allows dynamic creation of attributes in class instances, which makes them flexible but also memory-inefficient. A lesser-known trick is to use _slots_ to limit the attributes that can be dynamically added to a class, which results in reduced memory usage. This can be particularly useful in performance-sensitive applications where many instances of a class are created.
How It Works: When you define _slots_ in a class, you tell Python to restrict the attributes that instances of the class can have. This prevents the creation of a _dict_ for each instance, which is where attributes are normally stored, thereby saving memory.
Why It’s Cool: Using _slots_ can lead to significant memory savings, especially when dealing with large numbers of objects. It can also make your code cleaner by preventing the accidental creation of new attributes. While it sacrifices some flexibility, it’s a great option for scenarios where performance is critical.
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