#131 - Write more maintainable Python code, avoid these 15 code smells

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 ... 🎧