Architekturpatterns mit Python

Proven Patterns for Complex Python Projects

Well-known architectural patterns - finally in idiomatic Python. Successfully managing the complexity of demanding projects and getting the most out of test suites.

With the growing popularity of Python, the projects being realized are also becoming larger and more complex. Many Python developers are increasingly interested in software design patterns such as hexagonal architecture/Clean Architecture, event-driven architecture, and the strategic patterns suggested by Domain-Driven Design. However, translating these patterns into Python is not always straightforward.

In this practical book, Harry Percival and Bob Gregory present tested architectural patterns that help keep application complexity in check - and maximize the benefits from test suites. Each pattern is illustrated with concrete examples in beautiful, idiomatic Python, avoiding the verbosity of Java or C# syntax.

Patterns covered in the book:

• Dependency Inversion and connections to Ports and Adapters (hexagonal architecture/Clean Architecture)
• Distinction in Domain-Driven Design 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.