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Linux
Dataclass in Python
Dataclasses in Python โ are incredibly beneficial for streamlining class creation tasks. They efficiently generate special methods such as init() and repr(), saving developers time and effort โ๏ธ. By reducing the need for boilerplate code, dataclasses make codebases cleaner and more concise, leading to improved readability and maintainability ๐. Moreover, they enhance code clarity by allowing developers to focus solely…
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Linux
Decorators in Python
Using decorators in Python is vital for ๐ฏ streamlining code development and improving overall code quality. ๐ They offer a powerful mechanism for enhancing function behavior ๐ without cluttering the core logic. With decorators, repetitive tasks like input validation, error handling, or performance monitoring can be encapsulated in reusable components, fostering code reusability and scalability. ๐ They facilitate the implementation…
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