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Pythonic vs Refactorable Pythonic: On the relationship between Pythonic idioms and code quality in machine learning projects
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DOI：10.1016/j.infsof.2025.108009.png)
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Abstract
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Python is increasingly becoming the lingua franca for developing Machine Learning (ML) systems, thanks to a rich ecosystem of libraries and an emphasis on readability. In this context, Pythonic idioms are seen as stylistic conventions that support maintainable and efficient code. Conversely, Refactorable-Pythonic idioms refer to patterns that can be refactored into more idiomatic Python, improving code quality in terms of maintainability, performance, and clarity.
Keywords:
Software quality
Software engineering for artificial intelligence
Software maintenance and evolution
Empirical software engineering
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