This week we talk about code smells. ?Code smells are characteristics in the code that might indicate deeper issues or potential problems. While they're not necessarily bugs, they can be a sign of poor code quality or maintainability issues. ?We distilled 15 common smells ranging from generic programming to Python specific issues. We hope it will make your more conscious of your code as well as code you'll review. ? ?If you have any feedback, hit us up on:- LinkedIn- X- Email(Also for any podcast topic requests ...)Mentioned Dictionary Dispatch Pattern videoAnd to write cleaner, more maintainable code, in the context of (complex) real world applications, check out our 1:1 coaching options.Chapters:00:00 Intro music00:20 What are code smells?01:11 1. Long functions or classes01:46 2. Duplicated code02:25 3. Data Clumps03:13 4. Using the global space03:52 5. Magic numbers04:38 6. Primitive obsession05:06 7. Overusing comments06:23 8. Too deep nesting07:36 9. Switch statement or long if-elif-elif-else chains08:41 10. Too deep inheritance09:45 11. Dead code10:21 12. Misusing (nested) listcomps11:03 13. Single letter variable names12:03 14. Mutable Default Arguments13:05 15. Error Silencing14:04 Wrap up14:56 Outro musicThanks for tuning in as always ? and next week we'll be back with a brand new episode ... ?