你可能想知道我们是谁,为什么写下这本书。在Harry的上一本书《Python测试驱动开发》(O'Reilly)的结尾,他开始思考一些关于架构的问题,比如,什么是构建应用程序的最佳方式,使其易于测试?更具体地说,如何使你的核心业务逻辑受到单元测试的覆盖,并最小化所需的集成测试和端到端测试的数量?他提到了“六边形架构”、“端口和适配器”和“功能核心、命令式外壳”的模糊概念,但如果他诚实的话,他必须承认这些并不是他真正理解或实践过的东西。然后他很幸运地遇到了Bob,他对所有这些问题都有答案。Bob最终成为了一名软件架构师,因为他所在团队中没有其他人从事这项工作。他发现自己在这方面并不擅长,但他很幸运地遇到了Ian Cooper,后者教给他写代码和思考代码的新方法。

Enterprise architecture patterns with python: how to apply ddd, ports and adapters, and enterprise architecture design patterns in a pythonic way

Architecture Patterns with Python : Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices

Percival, Harry, Gregory, Bob

O'Reilly Media, [Place of publication not identified], 2020

First edition, Beijing [China] ; Boston [MA, 2020

United States, United States of America

First edition, Sebastopol, CA, 2020

1, US, 2020

As Python continues to grow in popularity, projects are becoming larger and more complex. Many Python developers are now taking an interest in high-level software architecture patterns such as hexagonal/clean architecture, event-driven architecture, and strategic patterns prescribed by domain-driven design (DDD). But translating those patterns into Python isn't always straightforward.
With this practical guide, Harry Percival and Bob Gregory from MADE.com introduce proven architectural design patterns to help Python developers manage application complexity. Each pattern is illustrated with concrete examples in idiomatic Python that explain how to avoid some of the unnecessary verbosity of Java and C# syntax. You'll learn how to implement each of these patterns in a Pythonic way.
Architectural design 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

As Python continues to grow in popularity, projects are becoming larger and more complex. Many Python developers are now 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 aggregatesRepository and Unit of Work patterns for persistent storageEvents, commands, and the message busCommand-query responsibility segregation (CQRS)Event-driven architecture and reactive microservices

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 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 storageEvents, commands, and the message busCommand-query responsibility segregation (CQRS)Event-driven architecture and reactive microservices

2023-08-01