Quick Tip: Use slots to reduce Python class memory usage
When creating classes in Python, you might not think about the memory implications. However, using the __slots__ attribute can significantly reduce memory usage.
In regular Python classes, each instance has a __dict__ attribute that stores its attributes as key-value pairs. This allows for dynamic attribute creation, but it comes at a cost: memory usage. On the other hand, classes that use __slots__ store their attributes in a fixed-size array, eliminating the need for __dict__.
Here's a minimal example:
python
import sys
class RegularClass:
def __init__(self, x, y):
self.x =
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