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- Author: Harry Percival
- Publisher: O'Reilly Media
- ISBN-10: 1492052205
- ISBN-13: 9781492052203
- Format: 17.5 x 23.1 x 2 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
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Description
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 storage
- Events, commands, and the message bus
- Command-query responsibility segregation (CQRS)
- Event-driven architecture and reactive microservices
EXTRA 10 % discount with code: EXTRA
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- Author: Harry Percival
- Publisher: O'Reilly Media
- ISBN-10: 1492052205
- ISBN-13: 9781492052203
- Format: 17.5 x 23.1 x 2 cm, minkšti viršeliai
- Language: English English
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 storage
- Events, commands, and the message bus
- Command-query responsibility segregation (CQRS)
- Event-driven architecture and reactive microservices
Reviews