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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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Toc

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

The creation of a new package

In any software, there will be snippets of code that could be shared across different parts of the code. When working with small, monolithic applications, this can be as easy as creating some internal modules or functions that can share functionality by calling it directly.

Over time, this common function or functions could be grouped together under a module to clarify that they are to be used across the application.

Avoid the temptation to use the name utils for a module with code expected to be used in different positions. While this is very common, it is also not very descriptive and a bit lazy. How does someone know if a function is in the utils module? Instead of that, try to use a descriptive name.

If it's not possible, divide it into submodules, so you can create something like utils.communication or utils.math to avoid this effect.

This will work fine up to a certain size. Some of the problems that can arise...

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