Write more maintainable Python code, avoid these 15 code smells

Code smells are indicators in programming that suggest potential underlying issues or poor code quality, although they are not necessarily bugs. In a recent discussion, 15 common code smells were identified, ranging from general programming issues to those specific to Python, such as long functions, duplicated code, and the misuse of global space. These characteristics can affect maintainability and clarity, prompting developers to be more mindful of their own code and that of others. Listeners are encouraged to provide feedback or suggest topics through various platforms, and additional resources like 1:1 coaching are offered for those seeking to write cleaner, more maintainable code in complex applications.

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