This book is for those who wish to understand how Python debugging is and can be used to develop robust and reliable AI,
208 95 5MB
English Pages 244 Year 2023
Table of contents :
Cover
Front Matter
1. Fundamental Vocabulary
2. Pattern-Oriented Debugging
3. Elementary Diagnostics Patterns
4. Debugging Analysis Patterns
5. Debugging Implementation Patterns
6. IDE Debugging in the Cloud
7. Debugging Presentation Patterns
8. Debugging Architecture Patterns
9. Debugging Design Patterns
10. Debugging Usage Patterns
11. Case Study: Resource Leaks
12. Case Study: Deadlock
13. Challenges of Python Debugging in Cloud Computing
14. Challenges of Python Debugging in AI and Machine Learning
15. What AI and Machine Learning Can Do for Python Debugging
16. The List of Debugging Patterns
Back Matter