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Python Architecture Patterns

You're reading from   Python Architecture Patterns Master API design, event-driven structures, and package management in Python

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Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781801819992
Length 594 pages
Edition 1st Edition
Languages
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Author (1):
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Jaime Buelta Jaime Buelta
Author Profile Icon Jaime Buelta
Jaime Buelta
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Table of Contents (23) Chapters Close

Preface 1. Introduction to Software Architecture 2. Part I: Design FREE CHAPTER
3. API Design 4. Data Modeling 5. The Data Layer 6. Part II: Architectural Patterns
7. The Twelve-Factor App Methodology 8. Web Server Structures 9. Event-Driven Structures 10. Advanced Event-Driven Structures 11. Microservices vs Monolith 12. Part III: Implementation
13. Testing and TDD 14. Package Management 15. Part IV: Ongoing operations
16. Logging 17. Metrics 18. Profiling 19. Debugging 20. Ongoing Architecture 21. Other Books You May Enjoy
22. Index

Debugging with logs

A simple yet effective way of detecting what's going on and how the code is being executed is adding comments that are displayed either containing statements like starting the loop here or including values of variables like Value of A = X. By strategically locating these kinds of outputs, the developer can understand the flow of the program.

We touched on this earlier in this chapter as well as in Chapter 10, Testing and TDD.

The simplest form of this approach is print debugging. It consists of adding print statements to be able to watch the output from them, normally while executing the code locally in a test or similar.

Print debugging can be considered a bit controversial to some people. It has been around for a long time, and it's considered a crude way of debugging. In any case, it can be very quick and flexible and can fit some debug cases very well, as we will see.

Obviously, these print statements need...

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