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nexusstc/Architecture Patterns with Python: Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices/ee46f731532d76565d6bc1195f40cb3a.epub
Architecture Patterns with Python : Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices 🔍
Harry J.W. Percival, Bob Gregory O'Reilly Media, Incorporated, 1, US, 2020
英语 [en] · EPUB · 7.9MB · 2020 · 📘 非小说类图书 · 🚀/lgli/lgrs/nexusstc/zlib · Save
描述
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
备用文件名
lgli/Architecture Patterns with Python_ Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices.epub
备用文件名
lgrsnf/Architecture Patterns with Python_ Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices.epub
备用文件名
zlib/no-category/Harry J.W. Percival, Bob Gregory/Architecture Patterns with Python: Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices_22323444.epub
备选标题
Enterprise architecture patterns with python: how to apply ddd, ports and adapters, and enterprise architecture design patterns in a pythonic way
备选作者
Percival, Harry, Gregory, Bob
备用版本
O'Reilly Media, [Place of publication not identified], 2020
备用版本
First edition, Beijing [China] ; Boston [MA, 2020
备用版本
United States, United States of America
备用版本
First edition, Sebastopol, CA, 2020
元数据中的注释
{"edition":"1","isbns":["1492052205","9781492052203"],"last_page":304,"publisher":"O'Reilly Media"}
备用描述
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
备用描述
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
开源日期
2022-08-13
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