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 hexagonalclean architecture, event-driven architecture, and the strategic patterns prescribed by domain-driven design DDD. But translating those patterns into Python isn't always straightforward.br br 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. br br Each pattern is illustrated with concrete examples in beautiful, idiomatic Python, avoiding some of the verbosity of Java and C syntax. Patterns include ul liDependency inversion and its links to ports and adapters hexagonalclean architectureli liDomain-driven design's distinction between Entities, Value Objects, and Aggregates li liRepository and Unit of Work patterns for persist