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2025-04-06 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Development >
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This article shares with you the content of a sample analysis of python data categories. The editor thinks it is very practical, so share it with you as a reference and follow the editor to have a look.
Data category
Since version 3.7, Python has been able to provide data categories. It has more advantages than regular classes or other alternatives, such as returning multiple values or dictionaries:
Data classes require very little code
Data classes can be compared because _ _ eq__ can implement this function
Data classes require type hints, reducing the possibility of errors
You can easily print data classes for debugging, because _ _ repr__ can achieve this function
This is an example of a working data class:
From dataclasses import dataclass @ dataclass classCard: rank: str suit: str card=Card ("Q" "hearts") print (card = = card) # True print (card.rank) #'Q' print (card) Card (rank='Q', suit='hearts') Thank you for reading! This is the end of this article on "sample Analysis of python data categories". I hope the above content can be of some help to you, so that you can learn more knowledge. if you think the article is good, you can share it for more people to see!
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