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About Architecture Patterns with Python
<span><p>As Python continues to grow in popularity, projects are becoming larger and more complex. Many Python developers are now taking an interest in high-level software design patterns such as hexagonal/clean architecture, event-driven architecture, and the strategic patterns prescribed by domain-driven design (DDD). But translating those patterns into Python isn’t always straightforward.</p><p>With this hands-on guide, Harry Percival and Bob Gregory from MADE.com introduce proven architectural design patterns to help Python developers manage application complexity—and get the most value out of their test suites.</p><p>Each pattern is illustrated with concrete examples in beautiful, idiomatic Python, avoiding some of the verbosity of Java and C# syntax. Patterns include:</p><ul><li>Dependency inversion and its links to ports and adapters (hexagonal/clean architecture)</li><li>Domain-driven design’s distinction between entities, value objects, and aggregates</li><li>Repository and Unit of Work patterns for persistent storage</li><li>Events, commands, and the message bus</li><li>Command-query responsibility segregation (CQRS)</li><li>Event-driven architecture and reactive microservices</li></ul></span>
Detailed Information
| Author: | Bob Gregory & Harry Percival [Gregory, Bob & Percival, Harry] |
|---|---|
| Publication Year: | 2020 |
| Language: | other |
| File Size: | 3.0035 |
| Format: | |
| Price: | FREE |
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