#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 video And 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 music 00:20 What are code smells? 01:11 1. Long functions or classes 01:46 2. Duplicated code 02:25 3. Data Clumps 03:13 4. Using the global space 03:52 5. Magic numbers 04:38 6. Primitive obsession 05:06 7. Overusing comments 06:23 8. Too deep nesting 07:36 9. Switch statement or long if-elif-elif-else chains 08:41 10. Too deep inheritance 09:45 11. Dead code 10:21 12. Misusing (nested) listcomps 11:03 13. Single letter variable names 12:03 14. Mutable Default Arguments 13:05 15. Error Silencing 14:04 Wrap up 14:56 Outro music Thanks for tuning in as always 🙏 and next week we'll be back with a brand new episode ... 🎧