Architecture Patterns with Python



Architecture Patterns with Python: Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices by Bob Gregory
English | March 31, 2020 | ISBN: 1492052205 | 304 pages | MOBI | 5.76 Mb
As Python continues to grow in popularity, projects are becoming larger and more complex. Many Python developers are 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.


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.
Each pattern is illustrated with concrete examples in beautiful, idiomatic Python, avoiding some of the verbosity of Java and C# syntax. Patterns include:Dependency inversion and its links to ports and adapters (hexagonal/clean architecture)Domain-driven design’s distinction between Entities, Value Objects, and AggregatesRepository and Unit of Work patterns for persistent storageEvents, commands, and the message busCommand-query responsibility segregation (CQRS)Event-driven architecture and reactive microservices

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