Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Python Architecture Patterns

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

Arrow left icon
Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781801819992
Length 594 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Jaime Buelta Jaime Buelta
Author Profile Icon Jaime Buelta
Jaime Buelta
Arrow right icon
View More author details
Toc

Table of Contents (23) Chapters Close

Preface 1. Introduction to Software Architecture FREE CHAPTER 2. Part I: Design
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...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime