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dataclasses — Data Classes
It is a backport for Python 3.6. ... At this point this repo should only be used for historical purposes (it’s where the original dataclasses discussions took place) and for discussion of the actual backport to Python 3.6.
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import attrs
An attempt at catharsis. This is a deeply personal blog post about the most influential project I’ve ever created: attrs, the progenitor of modern Python class utilities. I’m retelling its history from my perspective, how it begot dataclasses, and how I’m leading it into the future.
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PEP 557 – Data Classes | peps.python.org
Since 3.10 now has slots=True argument for @dataclass decorator, we need to support it, since #10864 is merged. Failing case right now: from dataclasses import dataclass @dataclass(slots=True) clas...
Dataclass code that sets slots=true if python version allows - Stack Overflow
I'm writing a module that needs to run under both Python 3.8 and Python 3.10. I want to have dataclasses that have slots (@dataclasses.dataclass(slots=True)) in Python 3.10 for the purposes of type
dataclasses·PyPI
A backport of the dataclasses module for Python 3.6
How to Write Memory-Efficient Classes in Python | DataCamp
As noted already in the answers, data classes from dataclasses cannot generate slots for the simple reason that slots must be defined before a class is created.
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Integration with dataclasses and attrs
Calling no-arg super() in dataclasses using slots=True will result in the following exception being raised: TypeError: super(type, obj): obj must be an instance or subtype of type.
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How to use Python dataclasses | InfoWorld
Python dataclasses can make your Python classes less verbose and more powerful at the same time. Here's an introduction to using dataclasses in your Python programs.