arity, 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 Aggregates
• Repository and Unit of Work patterns for persistent storage
• Events, commands, and the message bus
• Command-query responsibility segregation (CQRS)
• Event-driven architecture and reactive microservices