Python Debugging for AI, Machine Learning, and Cloud Computing: A Pattern-Oriented Approach

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2024

D. VostokovPython Debugging for AI, Machine Learning, and Cloud Computinghttps://doi.org/10.1007/978-1-4842-9745-2_9

9. Debugging Design Patterns

Dmitry Vostokov¹  

(1)

Dalkey, Dublin, Ireland

 

In the previous chapter, you looked at debugging architecture patterns, answering the most important question of where, when, and how we debug and what we debug.

In this chapter, I introduce the most common debugging design patterns (Figure 9-1) in real-life case studies involving elementary diagnostics patterns, analysis, and debugging architecture. These patterns are Mutation, Replacement, Isolation, and Try-Catch. The selection of pattern names is based on the author's ...