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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

Trivial packaging in Python

In Python, it is easy to create a package to be imported by just adding a subdirectory to the code. While this is simple, it can be adequate initially, as the subdirectory can be copied. For example, the code can be added directly to the source control system, or it can even be installed by compressing the code and uncompressing it in place.

This is not a long-term solution, as it won't handle multiple versions, dependencies, and so on, but it can work in some cases as a first step. At least initially, all the code to be packetized needs to be stored in the same subdirectory.

The structure of the code for a module in Python can be worked out as a subdirectory with a single entry point. For example, when creating a module called naive_package with the following structure:

└── naive_package
    ├── __init__.py
    ├── module.py
    └── submodule...
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