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Don’t forget about __slots__ in Python! | by AM | Medium
Discover what __slots__ is in Python, why it shouldn’t be feared, and how to calculate the size of an object in Python. Python’s __slots__ is a simple yet powerful feature that is often overlooked…
Python Constants: Improve Your Code's Maintainability – Real Python
Python objects have attributes that can be accessed, modified or deleted. Python provides a default manner in which these operations are performed but what if we wish to customize these operations?
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Using Python 3.10.2 (through IPython 8.0.1) I actually get no performance increase from using __slots__: %timeit get_set_delete_fn(not_slotted) -> 168 ns ± 0.367 ns per loop (mean ± std.
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If the performance and memory efficiency of code are critical, we can trade the convenience of dictionaries for __slots__.
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Using __slots__ to Store Object Data in Python - Stack Abuse
What is the purpose of __slots__ in Python — especially with respect to when I would want to use it, and when not?
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It involves the usage of __slots__ to tell Python not to use a dict, and only allocate space for a fixed set of attributes.
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dataclasses — Data Classes — Python 3.11.13 documentation
Data classes was an interesting read and will definitely save some time in the future, but I think the __slots__ mention is where I got the most value from (big memory and access speed savings!