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: [ Ссылка ]
- X: [ Ссылка ]
- Email: info@pybit.es
(Also for any podcast topic requests ...)
Mentioned Dictionary Dispatch Pattern video: [ Ссылка ]
And to write cleaner, more maintainable code, in the context of (complex) real world applications, check out our 1:1 coaching options:
[ Ссылка ]
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 ... 🎧
