Python Debugging for AI, Machine Learning, and Cloud Computing A Pattern-Oriented Approach
This book is for those who wish to understand how Python debugging is and can be used to develop robust and reliable AI, machine learning, and cloud computing software. It will teach you a novel pattern-oriented approach to diagnose and debug abnormal software structure and behavior. The book begins...
Autor principal: | |
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Formato: | Libro electrónico |
Idioma: | Inglés |
Publicado: |
Berkeley, CA :
Apress
2024.
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Edición: | 1st ed. 2024. |
Materias: | |
Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009786704306719 |
Tabla de Contenidos:
- Chapter 1: Fundamental Vocabulary
- Chapter 2: Pattern-Oriented Debugging
- Chapter 3: Elementary Diagnostics Patterns
- Chapter 4: Debugging Analysis Patterns
- Chapter 5: Debugging Implementation Patterns
- Chapter 6: IDE Debugging in Cloud
- Chapter 7: Debugging Presentation Patterns
- Chapter 8: Debugging Architecture Patterns
- Chapter 9: Debugging Design Patterns
- Chapter 10: Debugging Usage Patterns
- Chapter 11: Case Study: Resource Leaks
- Chapter 12: Case Study: Deadlock
- Chapter 13: Challenges of Python Debugging in Cloud Computing
- Chapter 14: Challenges of Python Debugging in AI and Machine Learning
- Chapter 15: What AI and Machine Learning Can Do for Python Debugging
- Chapter 16: The List of Debugging Patterns.