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 isnt 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 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) Domain-driven designs 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
