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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

Abstractions

An API allows us to use a piece of software without totally understanding all the different steps that are involved. It presents a clear menu of actions that can be performed, enabling an external user, who doesn't necessarily understand the complexities of the operation, to perform them efficiently. It presents a simplification of the process.

These actions can be purely functional, where the output is only related to the input; for example, a mathematical function that calculates the barycenter of a planet and a star, given their orbits and masses.

Alternatively, they can deal with state, as the same action repeated twice may have different effects; for example, retrieving the time in the system. Perhaps even a call allows the time zone of the computer to be set, and two subsequent calls to retrieve the time may return very different results.

In both cases, the APIs are defining abstractions. Retrieving the time of the system in a single operation...

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