Pybites Podcast 131 - Write more maintainable Python code, avoid these 15 code smells скачать в хорошем качестве

Pybites Podcast 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:   / pybites   X:   / pybites   Email: [email protected] (Also for any podcast topic requests ...) Mentioned Dictionary Dispatch Pattern video:    • Mastering Python Refactoring: Simplifying ...   And to write cleaner, more maintainable code, in the context of (complex) real world applications, check out our 1:1 coaching options: https://pybit.es 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 ... 🎧