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As Python continues to grow in popularity, projects are becoming larger and more complex. Many Python developers are taking an interest in highlevel software design patterns such as hexagonal/clean architecture, eventdriven architecture, and the strategic patterns prescribed by domaindriven design (DDD). But translating those patterns into Python isn't always straightforward.With this handson guide, Harry Percival and Bob Gregory from MADE.com introduce proven architectural design patterns to help Python developers manage application complexityand 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) Domaindriven design's distinction between Entities, Value Objects, and Aggregates Repository and Unit of Work patterns for persistent storage Events, commands, and the message bus Commandquery responsibility segregation (CQRS) Eventdriven architecture and reactive microservices
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